Dr. Chris Caplice wants to make supply chain education freely available to anyone, anywhere. More than 150,000 people from 190 countries have taken him up on that offer so far.
Before Chris Caplice, executive director of the Center for Transportation and Logistics at the Massachusetts Institute of Technology (MIT), got involved in supply chain management, he was a civil engineer. He's still passionate about identifying problems and solving them with an engineer's quantitative approach. Today, though, he's applying his considerable analytical skills to a new area: not just what is taught in supply chain management (SCM), but how it is taught.
As a leading proponent of online education in SCM, Caplice has worked with colleagues to design, implement, and teach a variety of online courses at both the undergraduate and graduate levels. The aim: to use technology to make high-quality supply chain education available to anyone, anywhere in the world. Through the new MicroMasters in Supply Chain Management program he leads, this vision is expanding beyond MIT to include a variety of programs at more than a dozen other universities.
For his leadership in making educational opportunities in supply chain management more widely available, Caplice received the 2016 Distinguished Service Award (DSA) from the Council of Supply Chain Management Professionals. The organization's highest honor is given to an individual for significant achievements in the logistics and supply chain management professions.
Caplice recently spoke about innovations in education with Supply Chain Quarterly Editor Toby Gooley.
Name: Chris Caplice, Ph.D. Title: Executive director, Center for Transportation and Logistics (CTL); founder, MIT FreightLab; chief scientist, Chainalytics Organization: Massachusetts Institute of Technology Education: Doctorate in transportation and logistics systems, MIT; Master of Science in civil engineering, University of Texas at Austin; Bachelor of Science in civil engineering, Virginia Military Institute Recognitions: 2016 CSCMP Distinguished Service Award and 1996 Doctoral Dissertation Award; 2016 MIT Silver Family Research Fellow Previous Experience: Taught at Virginia Military Institute; senior management positions, Logistics.com, SABRE, and PTCG; U.S. Army Corps of Engineers CSCMP Member: Since 1994
What are your responsibilities at the Center for Transportation and Logistics? How does CTL fit with other programs at MIT?
CTL is an interdepartmental center that focuses on all issues related to supply chain management, logistics, and freight transportation. We do three things: education, business partnerships/corporate outreach, and research. ... We have a great team of researchers and faculty, so my main responsibility is just ensuring that all the programs work together!
You may have noticed that there is no Department of Supply Chain Management here. One of the benefits of CTL being independent and interdepartmental is that we're able to bring different disciplines to bear on the field. That frequently includes the Media Lab, the School of Engineering, the Sloan School of Management, urban planning, and others. The fun thing is that we can tie so many different disciplines together.
Are you working on any major research projects?
In the past couple of years I've mostly focused on developing online education, but there are three other projects that I've been involved with. We just finished a project called "Voice of the Machine" with Drs. Francisco Jauffred and Daniel Steeneck. With the advent of the Internet of Things, we can now get signals such as diagnostic tests from equipment in the field. We worked with a company called OnProcess Technology to gather signals from machines' self-diagnostic tests and see if we can do anything proactively with them. We found that while the ability to predict one machine failing is weak, over a long period, and in the aggregate, the machines give us good signals we can use to allocate service-parts inventory and potentially reduce safety stock by up to 10 percent.
A second project was with a large restaurant chain. Every restaurant has restrictions on how much it can store in the backroom. If you devote more square feet there, then you don't have that square footage out in front. We wanted to know how that could affect service levels. As demand increases, do we have to increase the size of the storeroom, or can we make it more efficient? How do pack size and delivery frequency affect service levels? We're trying to determine the optimal order-stocking frequency. This is becoming more relevant for retailers, because with omnichannel the backroom is now serving multiple purposes.
A third project concerns better synchronization of transportation flow with inventory flow. Suppose I have different transportation options, and each has different costs, transit time, lead time, and capacity. How do I select the best mode—ahead of time, in my contracting—to best handle varying demand? Tied to that is inventory: some stock-keeping units (SKUs) are predictable, while others are not. Is there a way to synchronize both of these flows, and can I allocate the right SKUs to the right mode in advance?
CSCMP described you as leading the charge in "democratizing supply chain knowledge." What does that mean to you, and why is it important?
Higher education is facing a major decision. The way we teach in graduate school hasn't changed in 100 years: we lecture to a room of students; assign them a problem set, which they turn in two weeks later; and then we grade it and give it back to them two weeks after that. So after a month they get feedback. Does that still work today?
We're pushing ourselves to find out if we can deliver high-quality, graduate-level education that can be accessed by anyone across the world. For example, through edX [an online learning system founded by Harvard University and MIT] we want to educate the world for free. People should be able to get the knowledge they need—that's rule number one. Sometimes people want certification that they have mastered certain knowledge and skills. So, our second rule is to credentialize at cost. This cannot be done for free since it involves a lot more effort and work. Our third guiding rule is to be able to work with companies to customize the courses to fit their specific needs. We're finding that companies don't always want courses exactly as we created them; they choose modules and blend them to meet their own needs.
How does the new MITx MicroMasters credential in Supply Chain Management program work?
Over the past two years, more than 150,000 unique people from 190 countries have registered for at least one online course in supply chain management. In addition to demand for these courses there was tremendous demand for a formal MIT degree. So, in October of last year MIT President Rafael Reif announced the launch of the MicroMasters Credential, with our supply chain program being the very first. To earn the credential, students have to successfully complete a series of five courses and pass a final, proctored exam. If they are accepted to MIT, we will award them approximately one semester of credit. This is the first time MIT has awarded credits for online courses. It's online, but it still has the rigor and depth of graduate-level work. Also, through edX we are now offering about 20 different MicroMasters courses in a variety of subjects across about a dozen universities.
One thing we've learned is that there's no one best way to teach everything. There is a whole continuum, a portfolio of teaching methods, and you have to match that to the content and to the audience. For instance, we found that an analytical method like how to set inventory levels is best taught not necessarily in a lecture hall but via video. Students can move at their own pace; they can stop, start, and review as often as they need to. However, other things are best taught face-to-face, like case studies using the Socratic method, where students debate among themselves. Educators are realizing that for online teaching as well as in-residence graduate and executive education, it's more effective to do the prep work first, and then have face-to-face learning and discussion.
Launching the MicroMasters Credential required you to champion massive online open courses (MOOCs). How successful have they been?
The number of of registrations for an online course can be huge, and the number of people who are seriously doing something with it much smaller. After all, there is no charge, so the "cost" of registering is just a click. The number of registrants who are paid, verified students who want to be credentialed is averaging 12 percent for our courses. Those who are paid and verified tend to score higher on average, and by orders of magnitude are more likely to complete the course. We've awarded over 11,000 course certificates to almost 7,000 individual students over the past two years. To put this number in scale, I would have to teach for almost 100 years to reach this many students using traditional methods!
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."