Sean Willems

Sean Willems
  • Lecturer

Contact Information

Research Interests: capacity planning, multiechelon inventory optimization, international sourcing, supply chain analytics

Links: CV

Overview

Sean Willems solves real-world capacity and inventory problems. His work with companies such as Hewlett Packard, Proctor & Gamble, and Intel has led to finalist selections for the 2003, 2010, and 2017 Franz Edelman Award for Achievement in Operations Research and the Management Sciences.

His work on inventory placement under non-stationary demand won the Daniel H. Wagner Prize for Excellence in Operations Research Practice. His work has been published in Operations Research, Production and Operations Management, Management Science, and Manufacturing & Service Operations Management, among others.

He received his bachelor’s degree in decision sciences from the University of Pennsylvania’s Wharton School and his master’s in operations research and doctorate in operations management from the MIT Sloan School of Management.

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Research

  • Sean Willems, Graves, S. C. B. T. Tomlin (2026), Supply Chain Challenges In The Post- Covid Era, .

    Abstract: In this paper, we reflect on the supply chain issues and operational challenges that we experienced through the various stages of the Covid‐19 pandemic. We identify some phenomena that were attributable in some way to the pandemic, and apply core principles of operations management, and a simple numerical model, to explain and understand their occurrence. We highlight some key lessons and discuss implications for supply chain design and planning, to prepare for the next global disruption.

  • Sean Willems, Brennan, M. Dyer, S. Salvia, J. Segal, L. Serino, E. Steil, J. (2026), The City of Boston Sites Policy Interventions to Address Disparate Car-Crash Risk, .

    Abstract: Unsegmented emergency medical services (EMS) data obscure whether certain patients need care more than others, historically limiting cities from pursuing some preventative health interventions. The operations community has long pioneered prescriptive analytics for EMS response using data on incident location and time though novel descriptive analytics that segment demand by patient demographics and exposure type can inform preventative policy efforts, such as making capital investments and conducting outreach to lessen the risk of people being struck by motorists. Segmentation is the analytics response to demand heterogeneity in operations. By linking ambulance records to patient age and neighborhood socioeconomic characteristics, Boston EMS and partner agencies developed a data-driven approach to segment demand and guide siting preventative interventions. The approach parses demand by the demographics of patients struck by motorists (age and neighborhood socioeconomic status) along with the exposure type (walking or cycling during school commute hours) and the location where they were struck. The process overcomes long-standing data handling, computational, and conceptual barriers. Traffic crashes disproportionately affect children walking and cycling to school who reside in Boston’s poorest areas. The city used these findings to locate six initial capital projects and identify seven schools in the most affected areas in which to conduct outreach. The city also expanded data sharing between agencies to enable regular preventative work. Compared with the current resource allocation process, this socioeconomically sensitive segmentation that captures the profile of patients struck by motorists elevates disadvantaged neighborhoods in the urban planning process.

  • Sean Willems, Klosterhalfen, S.T. D. Dittmar (2023), Strategic Safety Stock Placement in Supply Chains With Expediting, .

    Abstract: Numerous documented implementations demonstrate the guaranteed-service (GS) model of safety stock optimization has applicability to practice. The standard GS (S-GS) model employs safety stock as the only countermeasure to satisfy a specified demand bound, assuming any demand in excess of the bound will be addressed by countermeasures which are not modeled. We extend the S-GS model to explicitly include expediting as a second countermeasure. Thus, our two-countermeasure GS (2C-GS) formulation addresses more demand variability explicitly than the S-GS model. We characterize a stage’s optimal base-stock level as the maximum of two base-stock calculations, and show how the resulting optimization problem can be efficiently solved using existing GS solution techniques. For normally distributed demand, we analytically characterize when the S- and 2C-GS approaches deploy different configurations of safety stock. For a series of numerical experiments, we find that the 2C-GS model places safety stocks at more stages than the S-GS model. When compared to the 2C-GS solution, the suggested safety stock positioning of the S-GS approach results in an average cost increase of 7%, and a maximum of 42%, in real-world supply chain settings. Furthermore, the benefits from expediting increase when downstream stages have greater expediting capability.

  • Sean Willems, Lo, A. W. B. Stevens (2022), World of Edcraft: Challenges And Opportunities Of Online Teaching, .

    Abstract: Online teaching at higher educational institutions has become a much higher priority in the face of the COVID-19 pandemic, but most faculty and staff at these institutions are ill-prepared to adapt their teaching methods and content to this new medium. This article guides the reader through three teaching studios developed for online synchronous teaching to very different student populations: a large (90-student) graduate-level healthcare finance course at MIT, an even larger (200-student) undergraduate-level statistics course at the University of Tennessee, Knoxville, and a medium-sized (50-student) graduate-level operations management course at MIT. As we began building these studios, we found few applications in higher-education settings to rely on. Instead, we borrowed ideas and tools from the gaming community. Since different faculty will have different teaching styles and objectives, we have adopted a tour guide approach that describes the intent of each studio design, a complete listing of the software and hardware used in the studio, and a representative example of what the studio can achieve in practice. We conclude by documenting how other faculty have produced minimally sufficient studios for online teaching.

  • Sean Willems, Letizia, P. J. Jia (2022), Supply Chain Coordination with Information Design, .

    Abstract: We consider the coordination of a supplier–retailer supply chain where, in addition to classical contract considerations, a supplier decides the adoption of an information structure (IS) for the supply chain, with a higher-quality IS allowing the supply chain parties to obtain a more accurate demand forecast. Because a wholesale price contract cannot coordinate the supply chain due to misaligned incentives of supply chain parties, we explore what common coordinating contracts in the classical coordination literature can continue coordinating the supply chain with the IS adoption. Interestingly, our analysis appears to reveal the power of simplicity: some simple classical coordinating contracts (e.g., the buy-back and revenue-sharing contracts), though not designed with the IS consideration, still coordinate the supply chain, whereas other more complicated classical contracts (e.g., the quantity flexibility and sales rebate contracts) fail to do so. We derive a general condition for supply chain coordination and show that any contract with a newsvendor-like transfer payment can coordinate the supply chain.

Teaching

All Courses

  • OIDD1010 - Introduction To Oidd

    OIDD 101 explores a variety of common quantitative modeling problems that arise frequently in business settings, and discusses how they can be formally modeled and solved with a combination of business insight and computer-based tools. The key topics covered include capacity management, service operations, inventory control, structured decision making, constrained optimization and simulation. This course teaches how to model complex business situations and how to master tools to improve business performance. The goal is to provide a set of foundational skills useful for future coursework atWharton as well as providing an overview of problems and techniques that characterize disciplines that comprise Operations and Information Management.

  • OIDD3800 - Operations Analytics Capstone

    This capstone provides students with the opportunity to solve real-world operations analytics problems. Students will apply the learnings from their prior coursework in the Operations Management / Management Science track to solve problems shared by companies including Amazon, Formlabs, Google, and Intel. Anonymized problems from a cloud computing company, consumer packaged goods company, and food supplier will also be covered in the course. The capstone is designed to provide theoretical and practical skills for students looking to hone their data processing and analytical problem-solving skills. The kinds of analysis we will conduct in this capstone are consistent with the work conducted by first-year consultants. These consultants could be employed by traditional management-consulting firms or they could be hired into internal analytical roles or leadership development programs at companies.

  • OIDD6590 - Advanced Topics: Supply Chain

    OIDD 6590 enables students to develop modeling skills and a problem-solving toolkit applicable to the design and planning of supply chains. The course is comprised of case studies written by recent MBA students tackling real supply chain analytics problems. Some of the cases covered describe work at Gillette, Google, HP, a franchise fitness studio, and a steel importer. The course covers capacity problems including machine scheduling, strategic sourcing in the presence of tariffs, and network design. The course covers inventory problems including postponement center sizing, multiechelon inventory optimization, and supply chain configuration.

  • OIDD6800 - Ops Strategy Practicum

    This course will focus on the management of operations at manufacturing and service facilities of domestic corporations and foreign multinational companies. Our emphasis will be on the evolving patterns of operations strategies adopted by firms for producing products, sourcing manufacturing, distributing products, delivering services and managing product design as well as on programs for enhancing quality, productivity and flexibility. The course will focus on the formulation and execution of such strategies for a collection of firms in the context of the current dynamics of global competition. The course consists of a set of site visits and in-class sessions which include lectures, case discussions and management speakers who will describe their company's current strategy.

Activity

Latest Research

Sean Willems, Graves, S. C. B. T. Tomlin (2026), Supply Chain Challenges In The Post- Covid Era, .
All Research