1 00:00:07,880 --> 00:00:11,520 Speaker 1: Hi everyone, Welcome to the Bloomberg Intelligence Talking Transports Podcast. I'm 2 00:00:11,560 --> 00:00:15,640 Speaker 1: your host, Lee Klasgow, Senior Freight, transportation and logistics analysts 3 00:00:15,680 --> 00:00:19,639 Speaker 1: at Bloomberg Intelligence, Bloomberg's in house research arm of almost 4 00:00:19,640 --> 00:00:23,560 Speaker 1: five hundred analysts and strategists. Before diving in a little 5 00:00:23,560 --> 00:00:26,920 Speaker 1: public service announcement, your support is instrumental to keep bringing 6 00:00:26,960 --> 00:00:29,600 Speaker 1: great guests onto the podcast like the one we have today. 7 00:00:29,920 --> 00:00:33,520 Speaker 1: If you haven't already, please do take some time to follow, rate, 8 00:00:33,600 --> 00:00:37,400 Speaker 1: and share the Talking Transports podcast. We appreciate your support. 9 00:00:37,960 --> 00:00:41,520 Speaker 1: I'm very excited to have Doctor Terry Esper a full 10 00:00:41,560 --> 00:00:46,040 Speaker 1: professor of Logistics at the Ohio State University's Fisher College 11 00:00:46,040 --> 00:00:49,919 Speaker 1: of Business. He has received the prestigious Full Right Distinguished 12 00:00:49,960 --> 00:00:54,000 Speaker 1: Scholar designation as well. Doctor Esper has published his research 13 00:00:54,080 --> 00:00:58,440 Speaker 1: on strategic supply chain management topics in leading academic and 14 00:00:58,640 --> 00:01:03,160 Speaker 1: managerial outlets. His work combines logistics and marketing concepts to 15 00:01:03,240 --> 00:01:08,120 Speaker 1: investigate how firms can leverage supply chains and logistics operations 16 00:01:08,120 --> 00:01:12,840 Speaker 1: to differentiate themselves in their competitive marketplaces. He's a chair 17 00:01:13,240 --> 00:01:16,480 Speaker 1: of the board of Directors at the Council of Supply 18 00:01:16,640 --> 00:01:22,679 Speaker 1: Chain Management Professionals, otherwise known as CSCMP. He is also 19 00:01:22,800 --> 00:01:26,840 Speaker 1: a resident educational advisor to several companies in the pharmaceutical 20 00:01:26,840 --> 00:01:29,880 Speaker 1: and personal care industry. So I wanted to welcome Terry 21 00:01:29,880 --> 00:01:30,600 Speaker 1: to the podcast. 22 00:01:30,640 --> 00:01:32,720 Speaker 2: Thanks for being here, Thank you, Thank you Lee. So 23 00:01:32,760 --> 00:01:33,880 Speaker 2: good to be here today. Thank you. 24 00:01:34,480 --> 00:01:37,360 Speaker 1: And it's okay if I call you Terry doctor Asper. 25 00:01:37,880 --> 00:01:41,000 Speaker 2: Oh, absolutely, Terry is perfectly fine. Okay. 26 00:01:41,440 --> 00:01:44,119 Speaker 1: And you not only are a professor, but you are 27 00:01:44,160 --> 00:01:45,360 Speaker 1: a world traveler. 28 00:01:45,520 --> 00:01:47,240 Speaker 2: I understand you're in Panama right now. 29 00:01:48,040 --> 00:01:51,800 Speaker 3: Yes, yes, we're in Panama preparing for a board meeting 30 00:01:51,840 --> 00:01:56,240 Speaker 3: for CSNP and also preparing for the Panama Logistics Summit, 31 00:01:56,320 --> 00:02:00,920 Speaker 3: which is one of the premier logistics professional events in 32 00:02:01,480 --> 00:02:02,720 Speaker 3: Latin America and the Caribbean. 33 00:02:02,800 --> 00:02:05,640 Speaker 2: So really excited to be here and preparing for that. Yeah. 34 00:02:05,640 --> 00:02:08,720 Speaker 1: And for those people that aren't familiar with this CSCMP, 35 00:02:08,919 --> 00:02:11,160 Speaker 1: you know, it's a great trade organization if you're interested 36 00:02:11,160 --> 00:02:16,200 Speaker 1: in supply chain. I'm a member, and I know there 37 00:02:16,240 --> 00:02:18,920 Speaker 1: are you probably have like tens of thousands of members. 38 00:02:19,160 --> 00:02:20,280 Speaker 1: Am I exaggerating there? 39 00:02:21,080 --> 00:02:22,120 Speaker 2: No? No, No, that's right. 40 00:02:22,160 --> 00:02:24,640 Speaker 3: We're right out of about ten thousand members around the world, 41 00:02:25,160 --> 00:02:27,800 Speaker 3: and it is really one of the largest and oldest 42 00:02:27,840 --> 00:02:31,400 Speaker 3: professional organizations for supply chain and logistics people. 43 00:02:31,680 --> 00:02:34,080 Speaker 1: All right, well, before we talk about logistics, I just 44 00:02:34,080 --> 00:02:37,520 Speaker 1: have to start the conversation about football. You know, the 45 00:02:37,560 --> 00:02:40,320 Speaker 1: Ohio State. I just saw you guys are ranked ten 46 00:02:40,720 --> 00:02:43,400 Speaker 1: so far. Aren't you guys using ranked in top five? 47 00:02:43,440 --> 00:02:44,320 Speaker 1: What's going on there? 48 00:02:44,840 --> 00:02:45,080 Speaker 2: Yeah? 49 00:02:45,120 --> 00:02:48,280 Speaker 3: I have no idea, you know. You know, I don't 50 00:02:48,280 --> 00:02:50,880 Speaker 3: know that ranking right off. I would say that ranking 51 00:02:50,919 --> 00:02:55,480 Speaker 3: is wrong, right, but that's why you'll stay Buckeye. But 52 00:02:55,760 --> 00:02:58,799 Speaker 3: I do know that of course, as you can imagine. 53 00:02:59,080 --> 00:03:01,960 Speaker 3: And I'm born and raised in Detroit, so the Michigan 54 00:03:02,000 --> 00:03:05,520 Speaker 3: Ohio State thing is serious for me. But you know, 55 00:03:05,600 --> 00:03:07,839 Speaker 3: because Ohio State has not been able to get over 56 00:03:07,880 --> 00:03:11,960 Speaker 3: that Michigan hurdle the last few years, you know, there's 57 00:03:12,040 --> 00:03:14,920 Speaker 3: a lot of skepticism about how good Ryan Day and 58 00:03:14,960 --> 00:03:17,560 Speaker 3: how good Ohio State really is. And I think, you know, again, 59 00:03:17,800 --> 00:03:21,320 Speaker 3: I'm a Buck guy. So this year we'll put all 60 00:03:21,320 --> 00:03:25,200 Speaker 3: that to bed. But yeah, we'll see what. We'll let 61 00:03:25,200 --> 00:03:27,840 Speaker 3: the rankings say whatever. We'll just show it all when 62 00:03:27,880 --> 00:03:28,880 Speaker 3: we get on the field. 63 00:03:28,680 --> 00:03:31,040 Speaker 1: Right, All right, Well, we'll make for good football, that's 64 00:03:31,080 --> 00:03:34,600 Speaker 1: for sure. So can you talk about the Ohio State 65 00:03:34,720 --> 00:03:36,920 Speaker 1: University logistics program a little bit. 66 00:03:37,800 --> 00:03:38,080 Speaker 2: Sure. 67 00:03:38,240 --> 00:03:41,000 Speaker 3: Yeah, I'm really excited to be a part of that 68 00:03:41,240 --> 00:03:44,800 Speaker 3: great group. And it's you know, Ohio State's program is 69 00:03:44,840 --> 00:03:47,119 Speaker 3: really one of the legacy programs, Lee, I mean, we've 70 00:03:47,120 --> 00:03:49,800 Speaker 3: been in the business of logistics and supply chain education 71 00:03:50,360 --> 00:03:55,160 Speaker 3: for years before it became you know, this growing discipline. 72 00:03:55,320 --> 00:03:59,400 Speaker 3: Ohio State was one of the leading schools that really 73 00:03:59,480 --> 00:04:02,640 Speaker 3: led the charge of bringing logistics into the business school. 74 00:04:03,720 --> 00:04:08,160 Speaker 3: We are a major that's growing as most other logistics 75 00:04:08,200 --> 00:04:12,440 Speaker 3: and supply chain programs around the country. And interestingly enough, 76 00:04:12,440 --> 00:04:15,680 Speaker 3: at Ohio State we still have a degree in logistics. 77 00:04:16,000 --> 00:04:18,480 Speaker 2: A lot of schools have migrated to supply. 78 00:04:18,240 --> 00:04:21,040 Speaker 3: Chain management degrees, and I've been on the faculty at 79 00:04:21,040 --> 00:04:24,200 Speaker 3: some of those schools and so it's definitely I get it. 80 00:04:24,720 --> 00:04:28,080 Speaker 3: But at Ohio State, we've decided to really stay focused 81 00:04:28,120 --> 00:04:31,960 Speaker 3: on our logistics emphasis and really ensuring that young people 82 00:04:32,360 --> 00:04:36,400 Speaker 3: have an opportunity to get really deep logistics education, to 83 00:04:36,480 --> 00:04:39,719 Speaker 3: be not only supply chain professionals, but a supply chain 84 00:04:39,760 --> 00:04:43,360 Speaker 3: professional that is steeped in the fundamentals of logistics. 85 00:04:44,040 --> 00:04:48,320 Speaker 1: And you know, you mentioned supply chain logistics has gotten 86 00:04:48,360 --> 00:04:50,960 Speaker 1: a little sexier since the pandemic. That's one of the 87 00:04:51,360 --> 00:04:53,520 Speaker 1: I guess the few positives coming out of the pandemic. 88 00:04:55,120 --> 00:04:59,279 Speaker 1: Have you noticed a huge increase in the number of 89 00:04:59,320 --> 00:05:02,640 Speaker 1: students that been involved in the program. 90 00:05:02,920 --> 00:05:05,120 Speaker 2: Yeah, we are seeing those numbers go up. I'll tell 91 00:05:05,120 --> 00:05:05,400 Speaker 2: you Lee. 92 00:05:05,480 --> 00:05:07,560 Speaker 3: One of the things that we have been observing and 93 00:05:07,960 --> 00:05:12,839 Speaker 3: observing and one of the issues we often have in 94 00:05:13,000 --> 00:05:17,320 Speaker 3: logistics and supply chain is a lot of young people, 95 00:05:17,600 --> 00:05:20,760 Speaker 3: you know, traditionally didn't really know what logistics and supply 96 00:05:20,839 --> 00:05:24,000 Speaker 3: chain were about. So they would enter the business school, 97 00:05:24,279 --> 00:05:26,760 Speaker 3: you know, wanting to major in the more well known 98 00:05:26,839 --> 00:05:31,680 Speaker 3: business disciplines a marketing major, finance major, right, and then 99 00:05:31,680 --> 00:05:35,000 Speaker 3: they would take a supply chain class and then get 100 00:05:35,040 --> 00:05:38,600 Speaker 3: interested and then switch their major to logistics and supply 101 00:05:38,680 --> 00:05:43,039 Speaker 3: chain right. Today, we're seeing more young people that come 102 00:05:43,080 --> 00:05:47,760 Speaker 3: to Ohio State because of the Fisher Logistics program. They're 103 00:05:47,880 --> 00:05:51,960 Speaker 3: entering the door declaring logistics as their majors because they 104 00:05:51,960 --> 00:05:56,240 Speaker 3: are more aware of how important supply chain management is, 105 00:05:56,600 --> 00:05:59,920 Speaker 3: and also their parents are more aware of how important 106 00:06:00,040 --> 00:06:03,320 Speaker 3: supply chain management is, and so it has really become 107 00:06:04,400 --> 00:06:08,720 Speaker 3: much more of an initial major declaration for students than 108 00:06:08,760 --> 00:06:10,440 Speaker 3: we have seen in the past, and I think that's 109 00:06:10,480 --> 00:06:15,760 Speaker 3: a national world phenomenon. Really, most programs are reporting that 110 00:06:15,880 --> 00:06:19,200 Speaker 3: more young people are coming to their business schools wanting 111 00:06:19,240 --> 00:06:22,279 Speaker 3: to major in supply chain from the very beginning, as 112 00:06:22,279 --> 00:06:25,400 Speaker 3: opposed to having to be evangelized into supply chain, which 113 00:06:25,480 --> 00:06:26,640 Speaker 3: was the old model that we. 114 00:06:26,680 --> 00:06:30,120 Speaker 1: Used to work through, right, And most of these students 115 00:06:30,160 --> 00:06:34,960 Speaker 1: when they graduate, are they going into when they go 116 00:06:35,000 --> 00:06:38,200 Speaker 1: into corporate America, are they working for a transportation company 117 00:06:38,320 --> 00:06:40,799 Speaker 1: or are they working for, you know, a consumer products 118 00:06:40,880 --> 00:06:43,760 Speaker 1: company and their supply chain departments? Like, is there a 119 00:06:43,800 --> 00:06:45,480 Speaker 1: split that you can tell us about. 120 00:06:46,480 --> 00:06:49,040 Speaker 3: Yeah, We're definitely kind of all across the board. When 121 00:06:49,080 --> 00:06:51,080 Speaker 3: it comes to that, I would say, you know, if 122 00:06:51,279 --> 00:06:54,640 Speaker 3: I don't know the numbers for certain, I would say that, 123 00:06:54,760 --> 00:06:57,560 Speaker 3: you know, we're probably at about sixty forty or sixty 124 00:06:57,560 --> 00:07:00,520 Speaker 3: five thirty five, with around sixty to sixty five percent 125 00:07:00,520 --> 00:07:04,200 Speaker 3: of our students wanting to either go with the brands, 126 00:07:04,360 --> 00:07:09,880 Speaker 3: you know, the Procter and Gamble, the Macy's, the Kroger Kroger, 127 00:07:10,000 --> 00:07:12,240 Speaker 3: you know, really thinking of those brands that are Ohio based. 128 00:07:12,280 --> 00:07:14,360 Speaker 3: But also we have a lot of retailers in and 129 00:07:14,400 --> 00:07:17,400 Speaker 3: around Columbus, so a lot of our students are going 130 00:07:17,440 --> 00:07:20,920 Speaker 3: to you know, the likes of Abricombie and Fitch. But 131 00:07:20,960 --> 00:07:23,000 Speaker 3: then we also have students that are going to work 132 00:07:23,040 --> 00:07:27,360 Speaker 3: for the likes of JB. Hunt, the likes of major 133 00:07:27,440 --> 00:07:30,920 Speaker 3: logistics companies, where students are wanting to work in more 134 00:07:31,000 --> 00:07:34,280 Speaker 3: of the operations and oversight of logistics but not necessarily 135 00:07:34,320 --> 00:07:37,200 Speaker 3: be connected to a particular brand. So we do see 136 00:07:37,240 --> 00:07:39,520 Speaker 3: a lot of young people wanting to go that route 137 00:07:39,520 --> 00:07:44,280 Speaker 3: as well, and interestingly enough, a growing path, whay has 138 00:07:44,400 --> 00:07:48,480 Speaker 3: been students that have gone more of the humanitarian route, 139 00:07:48,520 --> 00:07:52,360 Speaker 3: so going into the nonprofit sector and really tak taking 140 00:07:52,360 --> 00:07:56,440 Speaker 3: those logistics skills and working for agencies and organizations that 141 00:07:56,560 --> 00:08:00,560 Speaker 3: assist people and are more humanity focused as opposed to 142 00:08:00,720 --> 00:08:02,040 Speaker 3: more commercially focused. 143 00:08:02,720 --> 00:08:05,640 Speaker 1: That's interesting and different. In addition to the large retailers. 144 00:08:05,680 --> 00:08:07,200 Speaker 1: You know, I know, you know, you and I met 145 00:08:07,280 --> 00:08:10,040 Speaker 1: years ago at hp C l C, which is a 146 00:08:10,080 --> 00:08:14,960 Speaker 1: trade organization for people in logistics in the healthcare space. 147 00:08:16,640 --> 00:08:19,320 Speaker 1: You know a lot of kids going into that that 148 00:08:19,320 --> 00:08:20,440 Speaker 1: that vertical as well. 149 00:08:21,400 --> 00:08:22,280 Speaker 2: Yeah. Absolutely. 150 00:08:22,640 --> 00:08:26,520 Speaker 3: In fact, you know, uh, we're seeing growth in number one, 151 00:08:26,520 --> 00:08:28,440 Speaker 3: We're seeing growth in the number of young people that 152 00:08:28,480 --> 00:08:31,040 Speaker 3: are interested in that sector. You know, that that sector 153 00:08:31,120 --> 00:08:35,079 Speaker 3: is really popular at some other schools that have that 154 00:08:35,120 --> 00:08:37,839 Speaker 3: are a little more steeped in those companies, like a 155 00:08:37,960 --> 00:08:41,640 Speaker 3: Rutgers for example, Right, I mean, they have been maybe 156 00:08:41,679 --> 00:08:44,160 Speaker 3: a little bit more pronounced as a pipeline for supply 157 00:08:44,240 --> 00:08:46,760 Speaker 3: chain talent. But I mean we do see students being 158 00:08:46,800 --> 00:08:49,960 Speaker 3: hired by Pfizer and you know, Eli Lilly is right 159 00:08:49,960 --> 00:08:53,240 Speaker 3: across in Indiana, so that's a feeder for us. So yeah, 160 00:08:53,280 --> 00:08:55,800 Speaker 3: we do see a growth in students interested in that sector. 161 00:08:55,920 --> 00:08:58,520 Speaker 3: And again I think, you know, you talk about some 162 00:08:58,559 --> 00:09:01,520 Speaker 3: of the narrative or some of the carryover from COVID, 163 00:09:02,280 --> 00:09:04,000 Speaker 3: you know, again just thinking, you know, there was a 164 00:09:04,000 --> 00:09:09,000 Speaker 3: lot of dialogue about the supply chain of the Pfizer 165 00:09:09,120 --> 00:09:13,240 Speaker 3: vaccine for example, and all the other supply chain issues 166 00:09:13,280 --> 00:09:16,559 Speaker 3: that were associated with COVID, and I think because of that, 167 00:09:16,760 --> 00:09:21,160 Speaker 3: it really put that healthcare and pharma supply chain on 168 00:09:21,200 --> 00:09:22,680 Speaker 3: the radar for a lot of young people. 169 00:09:22,679 --> 00:09:24,880 Speaker 2: And we do see more growing interests in that space. 170 00:09:25,720 --> 00:09:27,400 Speaker 1: Yeah, and not only are you seeing interest in that 171 00:09:27,480 --> 00:09:30,319 Speaker 1: space from a student perspective, but a lot of companies 172 00:09:30,400 --> 00:09:33,720 Speaker 1: in transportation are looking towards the healthcare vertical for growth, 173 00:09:34,000 --> 00:09:37,000 Speaker 1: you know, ups is constantly talking about how they're trying 174 00:09:37,000 --> 00:09:40,560 Speaker 1: to increase their presence in that space given the high 175 00:09:40,600 --> 00:09:44,840 Speaker 1: margin aspect of the higher touch transportation services that you 176 00:09:44,880 --> 00:09:50,040 Speaker 1: need to do delivering vaccines or other medical or health 177 00:09:50,040 --> 00:09:52,480 Speaker 1: care related products around the globe. 178 00:09:52,880 --> 00:09:54,960 Speaker 2: Yeah. Yeah, and you know that sector. 179 00:09:55,559 --> 00:09:57,480 Speaker 3: I was just going to mention, you know, that sector 180 00:09:57,640 --> 00:10:00,520 Speaker 3: is so innovative and some of the things that are 181 00:10:00,520 --> 00:10:03,640 Speaker 3: happening in that space are maybe a few steps ahead 182 00:10:03,760 --> 00:10:08,480 Speaker 3: of the more traditional CpG type of supply chains. And 183 00:10:08,520 --> 00:10:10,880 Speaker 3: so you're right, I think that, you know, there's just 184 00:10:10,960 --> 00:10:15,199 Speaker 3: growing emphasis on what's happening in pharma because it does 185 00:10:15,240 --> 00:10:17,920 Speaker 3: in some way kind of give us some breadcrumbs as 186 00:10:17,960 --> 00:10:20,200 Speaker 3: to maybe where some of the other supply chains that 187 00:10:20,280 --> 00:10:23,000 Speaker 3: are not as high touch and that are not as 188 00:10:24,360 --> 00:10:29,000 Speaker 3: sensitive as the pharma supply chain. So around visibility, around tracking, tracing, 189 00:10:30,520 --> 00:10:32,680 Speaker 3: everything that's happening with cold chain, there are just a 190 00:10:32,720 --> 00:10:36,600 Speaker 3: lot of factors in that pharma supply chain that make 191 00:10:36,679 --> 00:10:39,400 Speaker 3: it a very interesting case study for a lot of companies, 192 00:10:39,440 --> 00:10:40,680 Speaker 3: even if they're not in pharma. 193 00:10:41,679 --> 00:10:41,880 Speaker 2: Yeah. 194 00:10:41,920 --> 00:10:45,480 Speaker 1: I remember attending the the HPCLC a couple of years back. 195 00:10:45,520 --> 00:10:47,800 Speaker 1: It was probably it was the first one after the pandemic, 196 00:10:47,880 --> 00:10:51,559 Speaker 1: and a lot of the manufacturers of the vaccines, those 197 00:10:51,640 --> 00:10:54,480 Speaker 1: in their supply chain departments were talking about what they 198 00:10:54,520 --> 00:10:56,840 Speaker 1: actually did, and you know, we read about it in 199 00:10:56,880 --> 00:10:59,960 Speaker 1: the New York Times, the Wall Street Journal, but hearing 200 00:11:00,080 --> 00:11:04,280 Speaker 1: at firsthand and a little deeper, uh it was a 201 00:11:04,400 --> 00:11:08,840 Speaker 1: herculean ask that they were able to do. Uh. So 202 00:11:08,960 --> 00:11:12,440 Speaker 1: it was it was pretty impressive how they were able 203 00:11:12,520 --> 00:11:15,240 Speaker 1: to deliver that, you know, across the United States and 204 00:11:15,280 --> 00:11:16,000 Speaker 1: around the world. 205 00:11:16,679 --> 00:11:18,040 Speaker 2: Yeah, yeah, amazing. 206 00:11:18,280 --> 00:11:20,920 Speaker 1: So what you know in the classroom, what are you 207 00:11:21,040 --> 00:11:25,320 Speaker 1: focusing on most today that has you know, quote unquote 208 00:11:25,400 --> 00:11:29,400 Speaker 1: real world applications for the students as they enter the workforce. 209 00:11:29,920 --> 00:11:33,840 Speaker 1: What are the themes that you're really focusing on in the classroom. 210 00:11:34,240 --> 00:11:37,320 Speaker 3: Yeah, So, you know, one of the things about being 211 00:11:37,320 --> 00:11:40,160 Speaker 3: a business school professor is like the content and the 212 00:11:40,800 --> 00:11:43,960 Speaker 3: context of the content changes, right, and we have to 213 00:11:43,960 --> 00:11:46,959 Speaker 3: be relevant. So we're teaching all the hot topics, all 214 00:11:47,040 --> 00:11:47,720 Speaker 3: the trends. 215 00:11:47,840 --> 00:11:48,000 Speaker 2: Right. 216 00:11:48,080 --> 00:11:50,680 Speaker 3: We're having a lot of discussion right now at Ohio 217 00:11:50,800 --> 00:11:55,360 Speaker 3: State about the use of chat, GPT and other you know, 218 00:11:55,960 --> 00:11:59,800 Speaker 3: AI machine learning mechanisms and how do we factor that 219 00:11:59,840 --> 00:12:03,800 Speaker 3: in how we educate supply chain students. But to your 220 00:12:03,840 --> 00:12:07,000 Speaker 3: point about making sure that students, once they finish, are 221 00:12:07,040 --> 00:12:09,960 Speaker 3: ready to hit the ground running. A side of all 222 00:12:10,040 --> 00:12:12,640 Speaker 3: the content, you know, what we're also doing is really 223 00:12:12,679 --> 00:12:16,400 Speaker 3: putting a lot more focus on experiential learning, making sure 224 00:12:16,440 --> 00:12:18,920 Speaker 3: that young people when they graduate from Ohio State can 225 00:12:18,960 --> 00:12:21,920 Speaker 3: say that they've not only taken all these fantastic classes, 226 00:12:22,160 --> 00:12:26,719 Speaker 3: but that they have internship experiences and project experiences and 227 00:12:27,679 --> 00:12:32,240 Speaker 3: they have been really subjected to some pressure, some real 228 00:12:32,280 --> 00:12:34,920 Speaker 3: pressure when it comes to how they make decisions, so 229 00:12:34,960 --> 00:12:37,640 Speaker 3: that they're a little tried and tested by the time 230 00:12:37,679 --> 00:12:41,160 Speaker 3: they hit the marketplace for their jobs. So, for example, 231 00:12:41,160 --> 00:12:43,480 Speaker 3: one of the things we've been doing is creating these 232 00:12:44,440 --> 00:12:49,200 Speaker 3: what we're calling logistics labs with major corporations where teams 233 00:12:49,200 --> 00:12:52,200 Speaker 3: of students are assigned to a company and they work 234 00:12:52,240 --> 00:12:56,880 Speaker 3: on several projects within that cluster. And you know, this 235 00:12:56,960 --> 00:12:59,400 Speaker 3: is real, this is real data. You know, Ohio State 236 00:12:59,520 --> 00:13:01,920 Speaker 3: is a large campus, and many companies say, you know, 237 00:13:02,679 --> 00:13:07,400 Speaker 3: with sixty five thousand students and just the infrastructure of 238 00:13:07,440 --> 00:13:11,000 Speaker 3: Ohio State, a brand can come to our campus and 239 00:13:11,440 --> 00:13:13,920 Speaker 3: do a lot of things within Ohio State to test 240 00:13:14,000 --> 00:13:17,240 Speaker 3: and to experiment and use our students to do it. 241 00:13:17,280 --> 00:13:20,240 Speaker 3: So a lot of our companies are coming to us saying, hey, like, 242 00:13:20,360 --> 00:13:22,800 Speaker 3: let's use your campus as a testing site to do 243 00:13:22,840 --> 00:13:27,679 Speaker 3: some innovative logistics stuff and let's let your students come 244 00:13:27,760 --> 00:13:29,120 Speaker 3: up with the ideas and execute it. 245 00:13:29,200 --> 00:13:29,400 Speaker 2: Right. 246 00:13:29,440 --> 00:13:32,120 Speaker 3: So they're getting that, Yeah, they're getting that quote real 247 00:13:32,160 --> 00:13:33,280 Speaker 3: world experience, right. 248 00:13:33,600 --> 00:13:35,880 Speaker 1: You know, So what what topics when you're in the 249 00:13:35,880 --> 00:13:39,520 Speaker 1: classroom kind of resonates with your students that you know, 250 00:13:39,520 --> 00:13:43,959 Speaker 1: when you're teaching, maybe surprises you or something that is 251 00:13:44,160 --> 00:13:47,600 Speaker 1: resonates year over year of a year all the time. 252 00:13:48,760 --> 00:13:51,080 Speaker 3: Yeah, So you know, I would say as of late, 253 00:13:51,160 --> 00:13:53,960 Speaker 3: some of the interesting topics that are resonating more with 254 00:13:54,040 --> 00:13:56,840 Speaker 3: students are just what I was speaking about a moment ago, 255 00:13:57,240 --> 00:14:03,599 Speaker 3: students being more interested in more of the social responsibility 256 00:14:04,760 --> 00:14:07,319 Speaker 3: no meaning and and and this is I think one 257 00:14:07,360 --> 00:14:09,680 Speaker 3: of the reasons why a lot of young people are 258 00:14:09,840 --> 00:14:12,920 Speaker 3: starting to develop that interest in supply chain and logistics 259 00:14:12,960 --> 00:14:15,840 Speaker 3: because they say, like, this is one of the business 260 00:14:15,920 --> 00:14:20,720 Speaker 3: disciplines that has meaning because the work is often in 261 00:14:20,760 --> 00:14:24,040 Speaker 3: the guts of the organization. And so there are a 262 00:14:24,080 --> 00:14:28,320 Speaker 3: lot of interests in you know, sustainability and the role 263 00:14:28,400 --> 00:14:37,400 Speaker 3: of logistics relative to decarbonization and sustainability, conversations about social responsibility, uh, 264 00:14:37,560 --> 00:14:40,320 Speaker 3: fair and equitable trade, and the role of supply chain 265 00:14:40,400 --> 00:14:44,040 Speaker 3: in that. So there's clearly this growing focus on you know, 266 00:14:45,520 --> 00:14:49,360 Speaker 3: sustainability and social responsibility issues, and I find that young 267 00:14:49,440 --> 00:14:52,840 Speaker 3: people today are much more keyed into those topics than 268 00:14:53,520 --> 00:14:58,680 Speaker 3: than ever before. I do think that that interestingly enough, 269 00:14:59,120 --> 00:15:02,920 Speaker 3: there is all so as you can imagine a lot 270 00:15:02,920 --> 00:15:05,920 Speaker 3: of emphasis on technology, right, I mean, you're dealing with 271 00:15:06,240 --> 00:15:09,040 Speaker 3: digital natives, so all of the dialogue that we're having 272 00:15:09,120 --> 00:15:14,080 Speaker 3: about AI, machine learning and those technologies, even things like 273 00:15:14,200 --> 00:15:17,040 Speaker 3: drone delivery technologies, all of these things that are happening 274 00:15:17,080 --> 00:15:20,160 Speaker 3: in the world around us. Young people are much more 275 00:15:20,320 --> 00:15:24,240 Speaker 3: latched to those topics, and so they just resonate so 276 00:15:24,320 --> 00:15:27,640 Speaker 3: much more. In fact, we're almost at a point where 277 00:15:27,680 --> 00:15:31,080 Speaker 3: I think we have to start teaching logistics as a 278 00:15:31,120 --> 00:15:36,800 Speaker 3: technology forward degree more so than like an equipment or 279 00:15:36,880 --> 00:15:39,760 Speaker 3: even a product movement forward degree. 280 00:15:39,800 --> 00:15:41,160 Speaker 2: Like that's the you know, the. 281 00:15:41,600 --> 00:15:45,280 Speaker 3: Technology is what's attracting a lot of students in today's 282 00:15:45,280 --> 00:15:47,200 Speaker 3: supply chain education and space. 283 00:15:48,280 --> 00:15:50,840 Speaker 1: When you talk about sustainability, you know, I guess you 284 00:15:50,840 --> 00:15:55,440 Speaker 1: could talk about decarbonization, you know, is that when you're 285 00:15:55,600 --> 00:15:59,000 Speaker 1: teaching it in the classroom. Is it more about a 286 00:15:59,080 --> 00:16:03,400 Speaker 1: switch to different fuels or is it really about that? 287 00:16:04,040 --> 00:16:07,800 Speaker 1: But really it's about reorganizing your supply chains to make 288 00:16:07,800 --> 00:16:11,200 Speaker 1: them more efficient because you know, as you know, electric 289 00:16:11,200 --> 00:16:18,600 Speaker 1: trucks aren't you know, applicable for all kind of lengths 290 00:16:18,600 --> 00:16:20,680 Speaker 1: of hauls. If you're an over the road trucker, it's 291 00:16:20,720 --> 00:16:23,240 Speaker 1: going to be very hard to do that. You know, 292 00:16:23,360 --> 00:16:25,960 Speaker 1: it might work for smaller, smaller trucks and pick up 293 00:16:25,960 --> 00:16:27,920 Speaker 1: and delivery and that sort of thing. So you know, 294 00:16:28,520 --> 00:16:31,360 Speaker 1: where's where's the balance that that you're teaching in the 295 00:16:31,400 --> 00:16:34,560 Speaker 1: classroom about sustainability and decarbonization. 296 00:16:35,720 --> 00:16:37,960 Speaker 3: Yeah, so that's a great example, and I think you 297 00:16:38,080 --> 00:16:39,960 Speaker 3: just hit the nail on the head lead. Really it's 298 00:16:40,000 --> 00:16:42,240 Speaker 3: it's you know, we teach, of course, you know, kind 299 00:16:42,240 --> 00:16:44,960 Speaker 3: of the more immediate thoughts that come to mind when 300 00:16:44,960 --> 00:16:50,200 Speaker 3: we talk about fuel and you know, you know, greenhouse gas. 301 00:16:50,360 --> 00:16:52,640 Speaker 3: You know, we teach those things, but I mean we 302 00:16:52,960 --> 00:16:55,400 Speaker 3: take more of a strategic view on this, right as 303 00:16:55,440 --> 00:17:01,320 Speaker 3: you say, really thinking about how the design and the UH, 304 00:17:01,960 --> 00:17:06,800 Speaker 3: the the the network design of supply chains and how 305 00:17:06,840 --> 00:17:09,360 Speaker 3: you factor in sustainability. 306 00:17:08,560 --> 00:17:09,320 Speaker 2: Goals and. 307 00:17:11,400 --> 00:17:15,680 Speaker 3: UH constraints really your your overall network constraints into how 308 00:17:15,680 --> 00:17:17,000 Speaker 3: you design that supply chain. 309 00:17:17,359 --> 00:17:19,520 Speaker 2: So, you know, while we do teach. 310 00:17:19,320 --> 00:17:23,960 Speaker 3: The fundamentals of sustainability and this decarbonization conversation as a 311 00:17:24,000 --> 00:17:27,239 Speaker 3: part of it, I think the broader topic is, you know, 312 00:17:27,320 --> 00:17:29,199 Speaker 3: how do we deal with the reality of this is 313 00:17:29,200 --> 00:17:30,480 Speaker 3: where we want to go, but this is where we 314 00:17:30,520 --> 00:17:33,560 Speaker 3: are today. And furthermore, you know, we've got customers to 315 00:17:33,600 --> 00:17:37,080 Speaker 3: serve and you know we're dealing with you know, competitive 316 00:17:38,359 --> 00:17:41,639 Speaker 3: competition to get access to resources, be that you know, uh, 317 00:17:41,840 --> 00:17:43,119 Speaker 3: trucking services and the like. 318 00:17:43,280 --> 00:17:45,520 Speaker 2: So it's really a function of all those things. 319 00:17:45,840 --> 00:17:50,280 Speaker 3: Thinking strategically about how we execute and how sustainability plays 320 00:17:50,280 --> 00:17:50,800 Speaker 3: are part. 321 00:17:50,600 --> 00:17:52,440 Speaker 2: Of that, right. 322 00:17:52,960 --> 00:17:57,159 Speaker 1: And on the automation side, you know, where are you 323 00:17:57,280 --> 00:18:00,360 Speaker 1: seeing AI or automation you know, I guess have put 324 00:18:00,359 --> 00:18:03,040 Speaker 1: in the same bucket. You know, where are you seeing 325 00:18:03,400 --> 00:18:08,960 Speaker 1: the most opportunities for for for these technologies to enhance 326 00:18:09,080 --> 00:18:11,440 Speaker 1: supply chains and make them more efficient. 327 00:18:12,760 --> 00:18:15,200 Speaker 3: Yeah, that's a great question, and I think ultimately I 328 00:18:15,240 --> 00:18:17,600 Speaker 3: would say, you know, across all those supply chain we're 329 00:18:17,600 --> 00:18:21,720 Speaker 3: still figuring out where where where those where those buckets 330 00:18:21,720 --> 00:18:24,040 Speaker 3: of opportunity are. You know, one of the things that, 331 00:18:24,119 --> 00:18:26,440 Speaker 3: as I mentioned, you know, we still have a very 332 00:18:26,440 --> 00:18:28,919 Speaker 3: strong logistics focused at Ohio State, so a lot of 333 00:18:28,960 --> 00:18:34,480 Speaker 3: our students will find themselves working you know, in in 334 00:18:34,480 --> 00:18:38,320 Speaker 3: in facilities and and and such where automation really is 335 00:18:39,040 --> 00:18:41,760 Speaker 3: a difference maker. And so you know, those are the 336 00:18:41,760 --> 00:18:45,320 Speaker 3: discussions that we're having. We're even developing some programming where 337 00:18:45,320 --> 00:18:52,080 Speaker 3: we are experimenting with bringing freshmen and sophomores and giving 338 00:18:52,119 --> 00:18:55,920 Speaker 3: them access to warehouses and distribution centers to be able 339 00:18:55,960 --> 00:19:00,400 Speaker 3: to really see the front line of logistics and how 340 00:19:00,440 --> 00:19:06,240 Speaker 3: to roll automation into that conversation, right, and so, yeah, 341 00:19:06,920 --> 00:19:09,240 Speaker 3: it's all sexy right now to use the word you 342 00:19:09,320 --> 00:19:12,200 Speaker 3: used earlier, But one of the things we've been trying 343 00:19:12,200 --> 00:19:14,840 Speaker 3: to focus on is just really where the rubber meets 344 00:19:14,880 --> 00:19:18,160 Speaker 3: the road when it comes to these technologies, and where 345 00:19:18,160 --> 00:19:20,480 Speaker 3: do we see most companies focusing when it comes to 346 00:19:20,520 --> 00:19:23,400 Speaker 3: these technologies. And right now there's a lot of focus 347 00:19:23,480 --> 00:19:26,880 Speaker 3: on facilities on the frontline labor and how do we 348 00:19:26,880 --> 00:19:31,119 Speaker 3: weave automation in to keep that twenty four to seven 349 00:19:31,200 --> 00:19:34,560 Speaker 3: supply chain working, particularly down in the gut sub organization. 350 00:19:35,520 --> 00:19:38,960 Speaker 1: Yeah, we recently published a note on the Bloomberg terminal 351 00:19:39,000 --> 00:19:42,560 Speaker 1: about AI and it's impact on transportation companies. And you know, 352 00:19:42,920 --> 00:19:44,840 Speaker 1: a couple of weeks ago, I was at an event 353 00:19:44,880 --> 00:19:47,520 Speaker 1: and I spoke to someone I worked for a large 354 00:19:47,840 --> 00:19:51,240 Speaker 1: freight broker, and they were like, you know, technology, whether 355 00:19:51,280 --> 00:19:53,840 Speaker 1: it's machine learning or AI, whatever you want to call it, 356 00:19:54,520 --> 00:19:57,280 Speaker 1: because you know that industry has been using machine learning 357 00:19:57,280 --> 00:20:00,520 Speaker 1: for quite some time over the last ten years. Brokers 358 00:20:00,560 --> 00:20:05,720 Speaker 1: now can handle ten times more loads they than they 359 00:20:05,720 --> 00:20:08,160 Speaker 1: were able to over the last ten years due to technology. 360 00:20:08,200 --> 00:20:10,720 Speaker 1: And you know, it seems like we're in early innings 361 00:20:11,000 --> 00:20:14,960 Speaker 1: with the productivity that not only freight brokers can enjoy 362 00:20:15,000 --> 00:20:18,320 Speaker 1: from AI or technology, but you know how you can 363 00:20:18,400 --> 00:20:22,520 Speaker 1: use AI to better price your product, whether it's your 364 00:20:22,600 --> 00:20:26,280 Speaker 1: trucking company or a railroad or an immodal provider. So 365 00:20:26,440 --> 00:20:29,240 Speaker 1: you know, it's really to me, this is the first 366 00:20:29,280 --> 00:20:33,679 Speaker 1: technology that people talk about that actually seems to have 367 00:20:33,720 --> 00:20:37,119 Speaker 1: a real application, you know, not so much like blockchain, 368 00:20:37,160 --> 00:20:40,360 Speaker 1: which was, you know, a big deal, or in my opinion, 369 00:20:40,520 --> 00:20:45,000 Speaker 1: autonomous trucking, where it's not going to be widespread probably 370 00:20:45,000 --> 00:20:48,359 Speaker 1: in my lifetime, and I hope to live you know, 371 00:20:48,400 --> 00:20:52,280 Speaker 1: a couple more years, maybe maybe maybe thirty five years 372 00:20:52,480 --> 00:20:57,800 Speaker 1: thirty five years would be good enough. So it's pretty very, 373 00:20:57,920 --> 00:21:02,960 Speaker 1: very very interesting stuff when it comes to technology. So 374 00:21:04,119 --> 00:21:09,680 Speaker 1: the kids or students, do they like the network optimization stuff? 375 00:21:10,359 --> 00:21:13,280 Speaker 2: Is that like that that you know? 376 00:21:13,280 --> 00:21:16,920 Speaker 1: Would imagine you really get into the weeds, And I 377 00:21:17,000 --> 00:21:20,280 Speaker 1: guess it would take a special mind to do well 378 00:21:20,280 --> 00:21:22,200 Speaker 1: in that. I know, I don't have probably that kind 379 00:21:22,200 --> 00:21:22,960 Speaker 1: of brain power. 380 00:21:23,760 --> 00:21:26,120 Speaker 2: Sure you do, Oh that's your true kind. 381 00:21:27,240 --> 00:21:30,080 Speaker 1: So is that is that an area that is still 382 00:21:30,640 --> 00:21:33,159 Speaker 1: a focus outside of you know, as you're mentioning the 383 00:21:33,200 --> 00:21:34,280 Speaker 1: technology aspect. 384 00:21:35,160 --> 00:21:35,760 Speaker 2: Oh? 385 00:21:35,800 --> 00:21:38,239 Speaker 3: Absolutely, Now, of course, how we do those things are 386 00:21:38,280 --> 00:21:41,919 Speaker 3: much more advanced now and we have access to different 387 00:21:41,920 --> 00:21:45,800 Speaker 3: technologies that students can tinker with in order to do 388 00:21:45,960 --> 00:21:48,959 Speaker 3: network optimization. But but yeah, I mean to be honest, 389 00:21:49,440 --> 00:21:53,960 Speaker 3: you know, any program worth there I find would need 390 00:21:54,000 --> 00:21:57,399 Speaker 3: to really make sure that Yet that that new and 391 00:21:57,480 --> 00:22:02,760 Speaker 3: emerging talent has that that brought comprehensive understanding of how 392 00:22:02,880 --> 00:22:07,000 Speaker 3: supply chains are really interconnected processes and if you tweak one, 393 00:22:07,560 --> 00:22:09,560 Speaker 3: it's going to have an effect on everything else, right, 394 00:22:09,600 --> 00:22:12,679 Speaker 3: And so how do we optimize this network considering the 395 00:22:12,760 --> 00:22:16,720 Speaker 3: constraints of the day, and more importantly, you know, how 396 00:22:16,720 --> 00:22:22,760 Speaker 3: do we continue to enhance and you know, work towards 397 00:22:22,880 --> 00:22:27,359 Speaker 3: just getting better, and so I think that network optimization 398 00:22:27,440 --> 00:22:30,639 Speaker 3: will forever be you know, what I would consider in 399 00:22:30,680 --> 00:22:34,120 Speaker 3: many ways to be the lynch pan of supply chain 400 00:22:34,280 --> 00:22:36,639 Speaker 3: education that our young people don't you know, they're not 401 00:22:36,680 --> 00:22:39,680 Speaker 3: just learning all the different elements, but that there are 402 00:22:40,480 --> 00:22:44,399 Speaker 3: ways that young people understand how it all works together, 403 00:22:44,720 --> 00:22:49,200 Speaker 3: and be that through doing network optimization or doing simulations 404 00:22:49,200 --> 00:22:53,159 Speaker 3: of networks in order to show the outcomes, and more importantly, 405 00:22:54,119 --> 00:22:58,159 Speaker 3: as I mentioned earlier, getting access to actual company data 406 00:22:58,320 --> 00:23:01,560 Speaker 3: and being able to see the real effects of some 407 00:23:01,640 --> 00:23:05,560 Speaker 3: of their decisions. And that's where the experiential learning is 408 00:23:05,600 --> 00:23:09,800 Speaker 3: really making that whole network conversation come to life. 409 00:23:11,359 --> 00:23:14,399 Speaker 1: And I'm just curious, you know, as your time, you know, 410 00:23:14,480 --> 00:23:17,760 Speaker 1: teaching logistics and the students that you've seen gone through 411 00:23:17,800 --> 00:23:23,119 Speaker 1: the program, the students that have gone to industry and 412 00:23:23,160 --> 00:23:26,560 Speaker 1: when I say industry, transportation logistics companies, has there been 413 00:23:26,560 --> 00:23:30,440 Speaker 1: a change in interest in modes like whether it's trucking, railroads, 414 00:23:30,480 --> 00:23:33,840 Speaker 1: parcel three pls. Have you seen any sort of change 415 00:23:33,880 --> 00:23:37,000 Speaker 1: over the years in terms of what mode is more 416 00:23:37,040 --> 00:23:39,840 Speaker 1: interesting for students and is there a reason behind it? 417 00:23:41,040 --> 00:23:41,320 Speaker 2: Yeah? 418 00:23:41,520 --> 00:23:44,200 Speaker 3: You know, I think, you know, that's a great question. 419 00:23:45,000 --> 00:23:47,520 Speaker 3: We just don't see as many young people being jazzed 420 00:23:47,600 --> 00:23:50,920 Speaker 3: up like periodically you'll see some students that get real 421 00:23:51,000 --> 00:23:54,960 Speaker 3: jazz up about the reil industry for example, or about 422 00:23:55,040 --> 00:23:58,720 Speaker 3: you know, ocean. But by and large, the trucking sector 423 00:23:58,800 --> 00:24:00,639 Speaker 3: is still where there is just a lot of focus, 424 00:24:00,720 --> 00:24:04,800 Speaker 3: where there's a lot of emphasis, and in the small. 425 00:24:04,560 --> 00:24:05,680 Speaker 2: Parcels sector of course. 426 00:24:05,760 --> 00:24:08,360 Speaker 3: Right if we think about this, this new e commerce 427 00:24:08,480 --> 00:24:10,800 Speaker 3: driven world in which we live, we see a lot 428 00:24:10,840 --> 00:24:14,879 Speaker 3: more of an emphasis on companies like FedEx, ups and 429 00:24:14,960 --> 00:24:18,399 Speaker 3: even some of these more interesting models that are coming along, 430 00:24:19,280 --> 00:24:22,840 Speaker 3: even the little small delivery robot companies, like I think 431 00:24:22,880 --> 00:24:27,280 Speaker 3: it's as starship maybe, But but by and large, as 432 00:24:27,280 --> 00:24:30,120 Speaker 3: you can imagine, you know, things that are more connected 433 00:24:30,160 --> 00:24:32,639 Speaker 3: to the everyday life of the consumer are just starting 434 00:24:32,640 --> 00:24:35,280 Speaker 3: to be much more appealing. So that last mile space 435 00:24:35,640 --> 00:24:38,679 Speaker 3: is growing significantly. But but by and large, the trucking 436 00:24:38,680 --> 00:24:42,639 Speaker 3: sector has has been and remains where the runt of 437 00:24:43,080 --> 00:24:47,320 Speaker 3: interests is when it comes to working and specifically within 438 00:24:47,359 --> 00:24:48,359 Speaker 3: the logistics sector. 439 00:24:49,240 --> 00:24:52,320 Speaker 1: Yeah, I mean, there's so many inefficiencies that can be 440 00:24:52,480 --> 00:24:55,280 Speaker 1: worked out of the truckload space, whether you know, it's 441 00:24:55,320 --> 00:24:59,000 Speaker 1: private fleets or for higher world whether it's you know, 442 00:24:59,119 --> 00:25:04,360 Speaker 1: dredge or you know, long distances, it's a very inefficient 443 00:25:04,440 --> 00:25:07,879 Speaker 1: market just given how fragmented it is, uh, you know, 444 00:25:07,920 --> 00:25:10,520 Speaker 1: and when you're running with with nothing inside your trailer, 445 00:25:10,560 --> 00:25:12,639 Speaker 1: it's it's it's it's a waste of a lot of 446 00:25:12,640 --> 00:25:14,280 Speaker 1: resources and assets. 447 00:25:14,680 --> 00:25:18,480 Speaker 3: And again that's that that's where those optimization skills you 448 00:25:18,520 --> 00:25:21,480 Speaker 3: know are are just exciting to apply. But I would 449 00:25:21,520 --> 00:25:23,199 Speaker 3: also say one of the things that I think we 450 00:25:23,280 --> 00:25:26,159 Speaker 3: have done quite quite well, and some companies of course 451 00:25:26,800 --> 00:25:30,879 Speaker 3: really really well. It's really talked about how the technology 452 00:25:31,000 --> 00:25:35,320 Speaker 3: is really shifting that industry. And so it's it's the 453 00:25:35,440 --> 00:25:40,960 Speaker 3: it's the draw of the technology, and that that that 454 00:25:41,240 --> 00:25:44,920 Speaker 3: is what has maybe even maybe made the trans the 455 00:25:45,119 --> 00:25:48,320 Speaker 3: trucking sector in particular, much more appealing. And of course, 456 00:25:48,359 --> 00:25:51,439 Speaker 3: as you can imagine that the big trucking companies have 457 00:25:51,680 --> 00:25:55,199 Speaker 3: really been able to draw young people because of the 458 00:25:55,280 --> 00:25:59,480 Speaker 3: ability to tinker around with this amazing technology, right and 459 00:25:59,760 --> 00:26:01,879 Speaker 3: lead One other thing I'll throw out here is that 460 00:26:01,960 --> 00:26:05,600 Speaker 3: I know we're talking about our logistics students, but I 461 00:26:05,640 --> 00:26:09,800 Speaker 3: would also offer that there's also a very interesting growth 462 00:26:09,920 --> 00:26:14,520 Speaker 3: of logistics as an industry for young people that may 463 00:26:14,520 --> 00:26:18,800 Speaker 3: be major in marketing or major in finance where we're 464 00:26:18,840 --> 00:26:22,440 Speaker 3: you know, I met a young person that is working 465 00:26:22,440 --> 00:26:25,560 Speaker 3: for one of the major carriers and when he told 466 00:26:25,560 --> 00:26:28,040 Speaker 3: me he was a graduate of our of Ohio State, 467 00:26:28,080 --> 00:26:29,480 Speaker 3: I thought he was from our program. 468 00:26:29,600 --> 00:26:31,200 Speaker 2: He's like, no, I was a finance student. 469 00:26:32,520 --> 00:26:36,520 Speaker 3: But I'm like, well, like light bulb moment, like yeah, 470 00:26:36,560 --> 00:26:39,840 Speaker 3: like these companies need like young people who know finance, 471 00:26:39,920 --> 00:26:42,760 Speaker 3: not just logistics, right, And so we are also seeing 472 00:26:42,800 --> 00:26:46,399 Speaker 3: that growth in the industry as an outlet for not 473 00:26:46,440 --> 00:26:49,720 Speaker 3: only our logistics students, but also finance, marketing, accounting, and 474 00:26:49,760 --> 00:26:51,600 Speaker 3: everything else, which is interesting. 475 00:26:51,960 --> 00:26:53,200 Speaker 1: So, you know, I get to talk to a lot 476 00:26:53,200 --> 00:26:55,560 Speaker 1: of interesting people on this podcast. 477 00:26:55,760 --> 00:26:57,400 Speaker 2: You know a lot of people they kind of. 478 00:26:58,000 --> 00:27:01,000 Speaker 1: When they get into transports either born into it, or 479 00:27:01,040 --> 00:27:03,400 Speaker 1: they step into it, or they had some other journey. 480 00:27:04,320 --> 00:27:08,600 Speaker 1: How did you gravitate towards transportation logistics and supply chains 481 00:27:09,359 --> 00:27:11,399 Speaker 1: as part of your academic career. 482 00:27:12,600 --> 00:27:14,560 Speaker 3: Yeah, that's a that's a great question. Thank you for 483 00:27:14,560 --> 00:27:16,720 Speaker 3: that one, Lee and there it's such a long story, 484 00:27:16,760 --> 00:27:19,240 Speaker 3: of course, I'll give you the reader's digest version, or 485 00:27:19,240 --> 00:27:20,400 Speaker 3: maybe even shorter than that. 486 00:27:21,080 --> 00:27:24,840 Speaker 2: Honestly, I had no clue. 487 00:27:25,240 --> 00:27:28,720 Speaker 3: I was in college and I had no clue that 488 00:27:30,000 --> 00:27:33,000 Speaker 3: someone that became my mentor would eventually be the US 489 00:27:33,080 --> 00:27:37,520 Speaker 3: Secretary of Transportation, and that was that was Secretary Slater. 490 00:27:37,600 --> 00:27:40,600 Speaker 3: So Secretary of Rodney Slater was a mentor of mine 491 00:27:40,640 --> 00:27:44,840 Speaker 3: in college, and through that mentorship relationship, I was able 492 00:27:44,880 --> 00:27:51,199 Speaker 3: to see transportation was really fundamental to the world. I 493 00:27:51,280 --> 00:27:54,080 Speaker 3: admit that, you know, I didn't study logistics as a 494 00:27:54,200 --> 00:27:58,400 Speaker 3: college student, you know, so I didn't have that undergraduate major. 495 00:27:58,520 --> 00:28:04,000 Speaker 3: I was drawn to transportation through my work with the 496 00:28:04,080 --> 00:28:08,040 Speaker 3: Arkansas Transportation Department of Transportation, but that came about through 497 00:28:08,080 --> 00:28:12,720 Speaker 3: my mentorship with who became Secretary Slater. And it was 498 00:28:12,840 --> 00:28:16,320 Speaker 3: during doing some of that work on the government side, 499 00:28:16,600 --> 00:28:20,639 Speaker 3: more infrastructure, that I learned about logistics. Funny enoughly, I 500 00:28:20,680 --> 00:28:25,480 Speaker 3: was doing a lot of work on trucking, truck patterns, 501 00:28:24,960 --> 00:28:30,639 Speaker 3: truck movement on US interstate highways. It had never occurred 502 00:28:30,680 --> 00:28:32,720 Speaker 3: to me to think about what was in the truck. 503 00:28:33,200 --> 00:28:37,760 Speaker 3: And a truck driver gave me my first logistics education 504 00:28:37,920 --> 00:28:40,040 Speaker 3: because he told me that if I didn't speed up 505 00:28:40,080 --> 00:28:43,320 Speaker 3: my work, he was going to deliver late, and if 506 00:28:43,320 --> 00:28:46,960 Speaker 3: he delivered late, there would be a penalty. But more importantly, 507 00:28:47,040 --> 00:28:49,400 Speaker 3: people who needed what was in that truck wouldn't get 508 00:28:49,440 --> 00:28:51,800 Speaker 3: what they needed. And he said it's called he said, 509 00:28:51,800 --> 00:28:55,160 Speaker 3: it's called logistics. And I wrote that down. I was like, logistics, 510 00:28:55,520 --> 00:28:57,080 Speaker 3: I know the word, but I never thought of it 511 00:28:57,080 --> 00:29:00,080 Speaker 3: as a business discipline. And because I wasn't a business 512 00:29:00,080 --> 00:29:03,080 Speaker 3: a student. And so there was the light bulb moment 513 00:29:03,120 --> 00:29:05,080 Speaker 3: for me and so for the rest, as they say, 514 00:29:05,520 --> 00:29:08,040 Speaker 3: it's history, but that's where I got my first logistics 515 00:29:08,160 --> 00:29:13,840 Speaker 3: education on in a little small truck stop in forod Dice, Arkansas. 516 00:29:14,360 --> 00:29:15,600 Speaker 2: It sounds like a lovely place. 517 00:29:16,240 --> 00:29:18,640 Speaker 3: Yeah, it's a it's an amazing place. It's the birth 518 00:29:18,640 --> 00:29:21,320 Speaker 3: of my career. So it's special in my heart. But 519 00:29:21,400 --> 00:29:23,440 Speaker 3: it's one of those places where if you sneeze af 520 00:29:23,440 --> 00:29:27,200 Speaker 3: you're driving along US Highway down in Arkansas, you might 521 00:29:27,240 --> 00:29:27,600 Speaker 3: miss it. 522 00:29:27,880 --> 00:29:29,680 Speaker 2: But it's a special place to me for sure. 523 00:29:30,240 --> 00:29:31,960 Speaker 1: Well we should put up a plaque there. This is 524 00:29:32,000 --> 00:29:34,760 Speaker 1: the birthplace of Terryes for doctor Terry Ask for its 525 00:29:35,360 --> 00:29:36,320 Speaker 1: logistics career. 526 00:29:36,800 --> 00:29:40,280 Speaker 2: So that's what let should do that. Yeah. 527 00:29:40,440 --> 00:29:44,400 Speaker 1: So you know, as as a professor and teaching in 528 00:29:44,400 --> 00:29:47,800 Speaker 1: the class, you know you make kids and students read 529 00:29:47,840 --> 00:29:52,440 Speaker 1: a lot. Is there a required reading that you would 530 00:29:52,520 --> 00:29:56,920 Speaker 1: suggest to people that maybe aren't in a logistics or 531 00:29:57,000 --> 00:30:00,320 Speaker 1: supply chain program, then it might be interesting. I know 532 00:30:00,440 --> 00:30:03,760 Speaker 1: one of my favorite business books was a book a professor. 533 00:30:03,440 --> 00:30:06,360 Speaker 4: Made us read when I was getting my MBA. It 534 00:30:06,400 --> 00:30:10,880 Speaker 4: was The Goal by Eli Goldrat. It was like entertaining, 535 00:30:11,000 --> 00:30:13,240 Speaker 4: It was like I learned so much. Is there a 536 00:30:13,240 --> 00:30:16,040 Speaker 4: book like that that you know you could recommend folks 537 00:30:16,080 --> 00:30:17,200 Speaker 4: to maybe open up? 538 00:30:18,480 --> 00:30:19,680 Speaker 2: Yeah, that's a great question. 539 00:30:19,800 --> 00:30:22,800 Speaker 3: So first of all, I will say you have just 540 00:30:23,120 --> 00:30:25,440 Speaker 3: like I just got a chill when you talked about 541 00:30:25,840 --> 00:30:29,200 Speaker 3: The Goal and Eli Goldratt that book. Honestly, I don't 542 00:30:29,240 --> 00:30:32,520 Speaker 3: know that there's anything that could touch it. So there's 543 00:30:32,560 --> 00:30:36,000 Speaker 3: this is no this is no no shade if you 544 00:30:36,040 --> 00:30:37,880 Speaker 3: will to any other author. But that was just it 545 00:30:38,680 --> 00:30:41,680 Speaker 3: is and remains a classic. In fact, we still use 546 00:30:41,720 --> 00:30:45,080 Speaker 3: it in business schools. It is the gold standard. And 547 00:30:45,120 --> 00:30:47,880 Speaker 3: funny enough, I had a chance to see Professor Goldrats 548 00:30:47,960 --> 00:30:50,760 Speaker 3: one of his final lectures before he passed away, and 549 00:30:51,000 --> 00:30:51,320 Speaker 3: it was. 550 00:30:51,280 --> 00:30:52,280 Speaker 2: Just an amazing moment. 551 00:30:53,000 --> 00:30:55,720 Speaker 3: I do though, So actually, I've got a couple of 552 00:30:55,800 --> 00:30:57,920 Speaker 3: things that I kind of have us go to. So, 553 00:30:58,320 --> 00:31:00,400 Speaker 3: first of all funny enough, it's not a book, it's 554 00:31:00,440 --> 00:31:03,560 Speaker 3: a Ted talk, a Ted talk by a guy named 555 00:31:03,600 --> 00:31:07,960 Speaker 3: AJ Jacobs, And funny enough, AJ Jacobs is a is 556 00:31:08,000 --> 00:31:10,520 Speaker 3: a gratitude guy. And I don't know if you've ever 557 00:31:10,520 --> 00:31:13,960 Speaker 3: heard of this Ted talk, but he decides one day 558 00:31:14,040 --> 00:31:17,120 Speaker 3: to thank everyone responsible for his daily. 559 00:31:16,880 --> 00:31:17,720 Speaker 2: Cup of coffee. 560 00:31:18,240 --> 00:31:20,240 Speaker 3: You know, He's like, I go to this coffee shop 561 00:31:20,280 --> 00:31:23,280 Speaker 3: and I just want to thank everybody responsible for this coffee. 562 00:31:23,520 --> 00:31:26,400 Speaker 3: And it starts with thinking the barista. But before it's over, 563 00:31:26,680 --> 00:31:30,240 Speaker 3: you know, he literally thanked like over a thousand people. 564 00:31:30,280 --> 00:31:34,520 Speaker 3: I believe that we're all involved in this big network 565 00:31:34,720 --> 00:31:38,160 Speaker 3: of the supply chain for his daily cup of coffee. 566 00:31:38,200 --> 00:31:41,840 Speaker 3: He ended up traveling to Costa Rica believed it was 567 00:31:41,880 --> 00:31:45,120 Speaker 3: just an amazing story. It's a great Ted talk. So 568 00:31:45,320 --> 00:31:48,920 Speaker 3: I always, you know, say that's a must watch for me, 569 00:31:49,080 --> 00:31:53,719 Speaker 3: because it's really about the awakening that there is a 570 00:31:53,760 --> 00:31:59,400 Speaker 3: web of people who do work, often thankless, behind something 571 00:31:59,440 --> 00:32:00,800 Speaker 3: as mundy as a couple of. 572 00:32:00,800 --> 00:32:04,920 Speaker 1: Com Absolutely, you know, you people out there that are 573 00:32:04,960 --> 00:32:08,280 Speaker 1: listening that, you know, curse truck drivers on the highway. 574 00:32:08,560 --> 00:32:11,880 Speaker 1: You should not be doing that. You should be thanking them. 575 00:32:11,920 --> 00:32:13,200 Speaker 2: You know, they have a very. 576 00:32:13,080 --> 00:32:15,240 Speaker 1: Not only do they have a very hard job and 577 00:32:15,320 --> 00:32:19,040 Speaker 1: a difficult job, but they have a job that if 578 00:32:19,080 --> 00:32:22,320 Speaker 1: they were not doing it, we would not have the 579 00:32:22,320 --> 00:32:25,080 Speaker 1: things in our homes that we eat, that we use. 580 00:32:26,280 --> 00:32:28,160 Speaker 2: You know, they're extremely. 581 00:32:27,760 --> 00:32:30,520 Speaker 1: Important not only to the economy, but you know, everyone's 582 00:32:30,600 --> 00:32:32,600 Speaker 1: day to day life here in the United States. 583 00:32:33,360 --> 00:32:36,720 Speaker 3: You know you're right. And I will say back to 584 00:32:36,840 --> 00:32:39,320 Speaker 3: the whole COVID impact of things. You know, you might 585 00:32:39,400 --> 00:32:42,280 Speaker 3: remember that was that was a narrative during COVID, and 586 00:32:42,320 --> 00:32:44,520 Speaker 3: I'm glad to see that some of that has carried 587 00:32:44,560 --> 00:32:48,320 Speaker 3: over when when truck drivers were deemed the essential worker, right, 588 00:32:48,640 --> 00:32:51,640 Speaker 3: and you may recall those signs of people thanking truck 589 00:32:51,720 --> 00:32:55,200 Speaker 3: drivers because it was the logistics workers and the drivers 590 00:32:55,560 --> 00:32:58,280 Speaker 3: that really kept the economy moving. And this is when 591 00:32:58,640 --> 00:33:04,960 Speaker 3: people really uh realized, uh, this awakening of the fact 592 00:33:04,960 --> 00:33:08,120 Speaker 3: that all these people are doing these thankless jobs. And 593 00:33:08,160 --> 00:33:11,360 Speaker 3: it might seem like it's so disconnected from our daily life, 594 00:33:11,360 --> 00:33:16,200 Speaker 3: but in fact, our daily life depends on that thankless work. 595 00:33:16,200 --> 00:33:18,640 Speaker 3: And that was what that that Ted talk really captured. 596 00:33:19,160 --> 00:33:22,040 Speaker 3: One other I'll add in I had a chance to 597 00:33:22,080 --> 00:33:27,200 Speaker 3: sit down with the author of a book entitled Frictionless. 598 00:33:26,640 --> 00:33:27,800 Speaker 2: I don't know if you've heard I don't know if 599 00:33:27,800 --> 00:33:29,400 Speaker 2: you've heard of this from Christianne Lemieux. 600 00:33:30,120 --> 00:33:33,239 Speaker 3: Frictionless is a great book that just talks about, you know, 601 00:33:33,320 --> 00:33:38,280 Speaker 3: trying to remove friction from business processes, removing friction from 602 00:33:38,320 --> 00:33:41,880 Speaker 3: the marketplace. And although it's not a supply chain book, 603 00:33:42,280 --> 00:33:44,440 Speaker 3: you know, one of the things she talks about as 604 00:33:44,480 --> 00:33:49,160 Speaker 3: a furniture manufacturer and entrepreneur was that you know, she 605 00:33:49,360 --> 00:33:52,920 Speaker 3: had she realized that it was if it were not 606 00:33:52,960 --> 00:33:56,800 Speaker 3: for the supply chain of her company, you know, she 607 00:33:56,840 --> 00:34:00,080 Speaker 3: wouldn't be able to offer this frictionless experience. And so 608 00:34:00,640 --> 00:34:04,360 Speaker 3: it's just another great book that's not about supply chain, 609 00:34:04,480 --> 00:34:09,359 Speaker 3: but it definitely illustrates that this notion of a frictionless 610 00:34:09,400 --> 00:34:15,000 Speaker 3: economy or frictionless customer experience can only happen if the 611 00:34:15,040 --> 00:34:17,080 Speaker 3: supply chain is working the way it's supposed to. 612 00:34:18,560 --> 00:34:21,440 Speaker 1: Right well, before I let you go, you know, I 613 00:34:21,480 --> 00:34:25,480 Speaker 1: know you're a very busy person with your work at 614 00:34:25,480 --> 00:34:28,719 Speaker 1: the Ohio State and then also you know the work 615 00:34:28,719 --> 00:34:30,560 Speaker 1: that you do with the cs c MP. 616 00:34:31,400 --> 00:34:32,200 Speaker 2: What do you do when. 617 00:34:32,080 --> 00:34:36,040 Speaker 1: You're not obsessing over transportation logistics in the supply chain? 618 00:34:37,040 --> 00:34:39,120 Speaker 2: When am I not? When am I when am I not? 619 00:34:40,719 --> 00:34:47,120 Speaker 3: No, So funny enough, I have definitely gotten very enamored 620 00:34:47,160 --> 00:34:50,880 Speaker 3: with the bourbon supply chain. Okay, so how's that for 621 00:34:50,960 --> 00:34:52,960 Speaker 3: putting it in the in the context of the work. 622 00:34:53,040 --> 00:34:55,480 Speaker 3: But no, I really do enjoy a really good bourbon, 623 00:34:55,840 --> 00:34:58,719 Speaker 3: and I because I'm in Ohio, I can get down 624 00:34:58,760 --> 00:35:02,839 Speaker 3: to Louisville quite in Kentucky quite easily, so I do 625 00:35:02,880 --> 00:35:04,840 Speaker 3: a lot of trips down or do a lot of 626 00:35:04,840 --> 00:35:10,120 Speaker 3: bourbon trail trips. And I visited oh Man dozens of 627 00:35:10,160 --> 00:35:14,520 Speaker 3: distilleries where I've just not only enhanced my palette in 628 00:35:14,600 --> 00:35:18,960 Speaker 3: terms of bourbon consumption, but also it is a very interesting, 629 00:35:19,160 --> 00:35:22,040 Speaker 3: uh supply chain when you think about the process of 630 00:35:22,560 --> 00:35:26,040 Speaker 3: distilling bourbon. So that that's that's something that I considered 631 00:35:26,080 --> 00:35:28,920 Speaker 3: to be maybe a hobby because I have done some 632 00:35:28,960 --> 00:35:32,480 Speaker 3: formal education around a bourbon So it's not just that 633 00:35:32,560 --> 00:35:35,640 Speaker 3: I like consumption, but I also have taken some time 634 00:35:35,680 --> 00:35:40,240 Speaker 3: to really learn the process. Other than that, I definitely 635 00:35:40,239 --> 00:35:42,759 Speaker 3: do a lot of travel, and I always weave in 636 00:35:42,840 --> 00:35:46,520 Speaker 3: some personal travel in my business travel, which is great 637 00:35:46,520 --> 00:35:50,680 Speaker 3: because I and I've actually grown grown grown quite interested 638 00:35:51,200 --> 00:35:54,799 Speaker 3: in architecture as I've seen more of the world I've 639 00:35:54,840 --> 00:35:57,520 Speaker 3: taken for granted. I grew up in Detroit, Michigan, and 640 00:35:57,560 --> 00:36:00,279 Speaker 3: there are some beautiful architecture in Detroit, and I grew 641 00:36:00,360 --> 00:36:03,719 Speaker 3: up walking past it and never noticed it until I 642 00:36:03,800 --> 00:36:06,480 Speaker 3: was like in my forties. Right, So I have started 643 00:36:06,520 --> 00:36:09,319 Speaker 3: to just really circle back to not just an architecture, 644 00:36:09,640 --> 00:36:13,480 Speaker 3: but Detroit architecture, and really leaning into the city that 645 00:36:13,520 --> 00:36:16,760 Speaker 3: I was born and raised in and this beautiful city 646 00:36:16,760 --> 00:36:20,080 Speaker 3: that I really didn't see during all my years of 647 00:36:20,600 --> 00:36:21,360 Speaker 3: growth and development. 648 00:36:21,840 --> 00:36:22,080 Speaker 2: Right. 649 00:36:22,280 --> 00:36:23,919 Speaker 1: And then are you going to be able to see 650 00:36:24,280 --> 00:36:25,960 Speaker 1: the Panama Canal while you're down there? 651 00:36:26,960 --> 00:36:28,080 Speaker 2: Yeah? Yeah, absolutely. 652 00:36:28,600 --> 00:36:31,800 Speaker 3: In fact, i'll be there tomorrow morning and we'll spend 653 00:36:31,800 --> 00:36:36,440 Speaker 3: some time there engaging with some of the executive group 654 00:36:36,840 --> 00:36:40,359 Speaker 3: out of the Panama Canal Authority. Yeah, and I've done 655 00:36:40,400 --> 00:36:42,120 Speaker 3: that quite a bit, Lee. I used to actually lead 656 00:36:42,160 --> 00:36:45,759 Speaker 3: study abroad programs to Panama, So I've brought dozens of 657 00:36:45,800 --> 00:36:49,200 Speaker 3: students to Panama down through the years and expose them 658 00:36:49,560 --> 00:36:52,920 Speaker 3: to the logistics infrastructure here in Panama. So it's definitely 659 00:36:52,960 --> 00:36:54,160 Speaker 3: a labor of love for me here. 660 00:36:54,440 --> 00:36:54,640 Speaker 2: Yeah. 661 00:36:54,640 --> 00:36:57,680 Speaker 1: I was down there like thirteen years ago for a 662 00:36:57,800 --> 00:37:00,759 Speaker 1: shipping conference. I need to get back down there. Again 663 00:37:00,840 --> 00:37:04,440 Speaker 1: the seeing the locks are just absolutely incredible up close. 664 00:37:05,440 --> 00:37:06,919 Speaker 2: Yeah, and the new ones are slick. 665 00:37:06,960 --> 00:37:09,799 Speaker 3: I mean they really you can definitely tell that, you know, 666 00:37:09,920 --> 00:37:13,000 Speaker 3: there's there's a that that that there's. 667 00:37:12,840 --> 00:37:14,280 Speaker 2: Been some fantastic enhancements. 668 00:37:14,280 --> 00:37:16,680 Speaker 3: And so yeah, we'll be spending some time engaging with 669 00:37:16,760 --> 00:37:18,080 Speaker 3: the with the canal tomorrow. 670 00:37:18,600 --> 00:37:20,440 Speaker 1: All right, So I got one last question. You know 671 00:37:20,480 --> 00:37:22,840 Speaker 1: you mentioned bourbon. What's your favorite? 672 00:37:23,400 --> 00:37:27,360 Speaker 3: Ah, that's tough, so well, not so tough, Okay, So 673 00:37:27,440 --> 00:37:30,400 Speaker 3: here's here are my go tos, like every Day. My 674 00:37:30,400 --> 00:37:34,520 Speaker 3: my favorite everyday bourbon is Weller, the green label Weller. 675 00:37:34,640 --> 00:37:39,239 Speaker 3: It is just such a phenomenal poor I do like 676 00:37:39,520 --> 00:37:44,280 Speaker 3: Eagle Rare, which is one of the the the bourbons 677 00:37:44,280 --> 00:37:50,600 Speaker 3: that come from the the the Blanton's uh uh mash 678 00:37:50,640 --> 00:37:55,759 Speaker 3: Bill love Eagle Rare. I am a Blanton's guy, like 679 00:37:55,800 --> 00:37:59,319 Speaker 3: you know Blanton's of course is you know, it's it's 680 00:37:59,360 --> 00:38:03,160 Speaker 3: tough to get days, but I do love Landon. And lastly, 681 00:38:04,200 --> 00:38:07,240 Speaker 3: although I've never owned a bottle, I have a friend 682 00:38:07,320 --> 00:38:10,480 Speaker 3: that has a bottle. In fact, he did. He's in Italy, 683 00:38:10,560 --> 00:38:14,360 Speaker 3: so he had no idea what it was of Pappy 684 00:38:14,440 --> 00:38:14,960 Speaker 3: van Winkle. 685 00:38:15,120 --> 00:38:18,440 Speaker 2: And so when I go to Italy. 686 00:38:19,400 --> 00:38:21,719 Speaker 3: He and I take a small sip of Pappy van 687 00:38:21,760 --> 00:38:23,640 Speaker 3: Winkle when I go there. He's like, no one else 688 00:38:23,760 --> 00:38:26,440 Speaker 3: wants to even drink this, and he doesn't drink it. 689 00:38:26,480 --> 00:38:27,640 Speaker 3: He only drinks it when I'm. 690 00:38:27,480 --> 00:38:28,080 Speaker 2: There in Italy. 691 00:38:28,160 --> 00:38:30,680 Speaker 3: So I will say I kind of have access to 692 00:38:30,920 --> 00:38:35,160 Speaker 3: kind of my own bottle of Pappy, and it's it's. 693 00:38:35,040 --> 00:38:37,359 Speaker 2: Worth all the It's worth all the hype. I mean, 694 00:38:37,400 --> 00:38:38,759 Speaker 2: that is such a great experience. 695 00:38:38,840 --> 00:38:42,160 Speaker 5: So I've had that a couple of times. Good not 696 00:38:42,239 --> 00:38:47,359 Speaker 5: what I'm buying, but I've had other people right well, Terry, 697 00:38:47,400 --> 00:38:48,840 Speaker 5: I really want to thank you for your time and 698 00:38:49,080 --> 00:38:51,440 Speaker 5: safe travels and good luck with everything that you do, 699 00:38:51,480 --> 00:38:53,920 Speaker 5: and I hope we run into each other again this 700 00:38:54,080 --> 00:38:55,120 Speaker 5: year in person. 701 00:38:56,080 --> 00:38:58,080 Speaker 3: Thank you, Lee, Thank you so much for the opportunity 702 00:38:58,160 --> 00:38:59,840 Speaker 3: to chat. And I want to thank you for just 703 00:38:59,840 --> 00:39:04,800 Speaker 3: the work that you do in educating the world about what's. 704 00:39:04,640 --> 00:39:07,759 Speaker 2: Going on in transportation and then the logistics, and. 705 00:39:07,719 --> 00:39:09,239 Speaker 3: I thank you for the opportunity to spend a bit 706 00:39:09,239 --> 00:39:10,600 Speaker 3: of time with you today. 707 00:39:10,880 --> 00:39:12,880 Speaker 1: It was great and I want to thank everyone for 708 00:39:12,920 --> 00:39:15,080 Speaker 1: tuning in. If you liked the episode, please subscribe and 709 00:39:15,160 --> 00:39:17,560 Speaker 1: leave a review. We've lined up a number of great 710 00:39:17,600 --> 00:39:21,120 Speaker 1: guests for the podcast, so check back to hear conversations 711 00:39:21,160 --> 00:39:25,759 Speaker 1: with C suite executives, shippers, regulators, and decision makers within 712 00:39:25,800 --> 00:39:28,080 Speaker 1: the freight markets. Also, if you have an idea for 713 00:39:28,080 --> 00:39:30,520 Speaker 1: a future episode, please hit me up on the terminal 714 00:39:30,719 --> 00:39:31,160 Speaker 1: or on. 715 00:39:31,040 --> 00:39:32,560 Speaker 2: Twitter at logistics Late. 716 00:39:32,800 --> 00:39:34,239 Speaker 1: Thanks everyone, to be safe out there.