Research Interests: service supply chain strategy & solutions, machine-learning applications to supply chain planning, servicization and product-service systems, global operations strategy, bench-marking of manufacturing/logistics systems, performance based incentives and contracting, service quality measurement, supply chain coordination, manufacturing/marketing interfaces
Morris A. Cohen is the Panasonic Professor of Manufacturing and Logistics in the Operations, Information and Decisions Department, the Wharton School at the University of Pennsylvania. He is also Co-Director of Wharton’s Fishman-Davidson Center for Service and Operations Management. He is currently the department editor for services in the Journal of Manufacturing and Service Operations Management and is a Fellow of the Institute for Operations Research and Management Science, and a Senior Fellow of the Manufacturing and Service Operations Management Society.
Until recently, Dr. Cohen was founder and chair of the board of MCA Solutions, a software company specializing in after-sales logistics planning systems, which recently merged with PTC, a leading provider of product design and service life cycle management decision support systems. He recently founded a startup (D3 Analytics), that is applying concepts of machine learning and big data to a new paradigm for supply chain planning and control. He has also been a policy analyst for the planning branch of the Treasury Board Secretariat of the Government of Canada.
Dr. Cohen holds a B.A.Sc. in Engineering Sciences from the University of Toronto, as well as an M.S. in Industrial Engineering and a Ph.D. in Operations Research from Northwestern University.
Dr. Cohen’s research interests include analysis of the current drivers of global supply chain sourcing strategy and product-service system modeling with a focus on performance based incentives and buyer-supplier coordination to support a Servicization strategy. His recent application and consulting work includes development of a machine-learning based methodology to support operations planning decision making. He has also developed and implemented advanced optimization tools for strategic and tactical planning systems for service supply chains in industries such as Aerospace & Defense, Consumer Electronics, Health Care Technology, Oil and Gas, Automobile, Semiconductor Equipment, Computers, and Telecommunications. Professor Cohen holds a B.A.Sc. in Engineering Sciences from the University of Toronto, and an M.S. and Ph.D. in Operations Research from Northwestern University.
Morris A. Cohen and Hau L. Lee (Forthcoming), Designing the Right Global Supply Chain Network.
Morris A. Cohen, S. Rahimi-Ghahroodi, A. Al Hanbali, I.M.H. Vliegen (Forthcoming), Joint Optimization of Spare Parts Inventory and Service Engineers Staffing with Full Backlogging.
Morris A. Cohen and Jose A. Guajardo, “Service Differentiation and Operation Segments: Research Opportunities and Implementation Challenges”. In Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science, edited by, (2019), pp. 43-52
Morris A. Cohen, Shimon Bitton, Izack Cohen (2019), Joint Repair Sourcing and Stocking Policies for Repairables Using Erlang-A and Erlang-B Queueing Models, IISE Transactions.
Morris A. Cohen and Jose A. Guajardo (2018), Service Differentiation and Operation Segments: A Framework and an Application to After-Sales Services, Manufacturing and Service Operations Management, 20 (3), pp. 440-454.
Morris A. Cohen, Shiliang Cui, Fei Gao (Working), The Effect of Government Support on Green Product Design and Environmental Impact.
Morris A. Cohen, Shiliang Cui, Ricardo Ernst, Arnd Huchzermeier, Panos Kouvelis, Hau L. Lee, Hirofumi Matsuo, Marc Steuber, Andy A. Tsay (2018), OM Forum: -Benchmarking Global Production Sourcing Decisions: Where and Why Firms Offshore and Reshore, Manufacturing and Service Operations Management, 20 (3), pp. 389-402.
Morris A. Cohen, Izack Cohen, Elad Landau (2017), On Sourcing and Stocking Policies in a Two-echelon, Multiple Location, Repairable Parts Supply Chain, Journal of the Operational Research Society.
Morris A. Cohen, Shiliang Cui, Fei Gao (Under Review), Performance, Reliability or Time-to-Market? Innovative Product Development and the Impact of Government Regulation.
Morris A. Cohen, Nichalin S. Summerfield, Moshe Dror (2015), City Streets Parking Enforcement Inspection Decisions: The Chinese Postman’s Perspective, European Journal of Operational Research, 24, pp. 149-160.
Quantum engineering - the design, fabrication, and control of quantum coherent devices - has emerged as a multidisciplinary field spanning physics, electrical engineering, materials science, chemistry, and biology, with the potential for transformational advances in computation, secure communication, and nanoscale sensing. This course surveys the state of the art in quantum hardware, beginning with an overview of the physical implementation requirements for a quantum computer and proceeding to a synopsis of the leading contenders for quantum building blocks, including spins in semiconductors, superconducting circuits, photons, and atoms. The course combines background material on the fundamental physics and engineering principles required to build and control these devices with readings drawn from the current literature, including promising architectures for scaling physical qubits into larger devices and secure communication networks, and for nanoscale sensing applications impacting biology, chemistry, and materials science.
For students who are studying a specific advanced subject area in electrical engineering. Students must submit a proposal outlining and detailing the study area, along with the faculty supervisor's consent, to the graduate group chair for approval. A maximum of 1 c.u. of ESE 899 may be applied toward the MSE degree requirements. A maximum of 2 c.u.'s of ESE 899 may be applied toward the Ph.D. degree requirements.
For students working on an advanced research program leading to the completion of master's thesis or Ph.D. dissertation requirements.
RETAIL ECOSYSTEM ACTION LEARNING PROJECTS: This course offers graduate students from Wharton and other Penn schools an opportunity to work on real-world projects for companies in the retail industry and in the wider retail ecosystem. It requires the exploration and analysis of actual business issues or opportunities identified by sponsoring/client companies, as well as the formulation of recommendations. It combines 1) academic principles, 2) application of prior business knowledge to the project at hand, and 3) a solutions-oriented mentality. In addition to supervised project work and regular updates to the corporate client/project sponsor, the course involves classroom meetings and discussions on topics pertaining to the projects. While this course focuses on "marketing" topics, projects might also incorporate topics from related disciplines such as operations, management of innovation & technology, data analytics, international management, design, and real estate. Indeed, the goal will be to constitute interdisciplinary teams from Wharton and other relevant Penn graduate schools. ADVANCED STUDY PROJECT (GENERAL): The principal objectives of this course are to provide opportunities for undertaking an in-depth study of a marketing problem and to develop the students' skills in evaluating research and designing marketing strategies for a variety of management situations. Selected projects can touch on any aspect of marketing as long as this entails the elements of problem structuring, data collection, data analysis, and report preparation. The course entails a considerable amount of independent work. (Strict library-type research is not appropriate) Class sessions are used to monitor progress on the project and provide suggestions for the research design and data analysis. The last portion of the course often includes an oral presentation by each group to the rest of the class and project sponsors. Along with marketing, the projects integrate other elements of management such as finance, production, research and development, and human resources.
This course introduces basic concepts of operations management and application of the same in business practice today. We will examine the theoretical foundations of operations management and how these principles or models can be employed in both tactical and strategic decision making. Topics covered in detail are forecasting techniques, planning under deterministic and uncertain demand, operations planning and scheduling, queuing theory, service operations management, newsvendor models, risk pooling strategies in firms, capacity and revenue management, and supply chain coordination. We will conclude by discussing how supply chains evolve under technological change.
This course considers tools and concepts that can generate operational excellence for the production and delivery of services in industries such as banking, transportation, health care, and communications. Since services typically are intangible, not storable or transportable, and often highly variable, the management of their operations is complex and involves distributed operations with a significant amount of customer contact. Therefore, the understanding and effective management of service operations requires specialized analytical tools and customer-centric focus. This course covers a mix of topics with the emphasis on quantitative methods, application of analytics and strategic frameworks. The class will introduce simple models and basic concepts that support analysis of tradeoffs in a variety of common service processes. Students also will have the opportunity to apply the ideas and analytical models developed in the course to a particular service industry. They will do so by conducting a guided, application group project which includes opportunities for in-depth analysis of a particular service process and field work.
This course focuses on the management of operations at manufacturing and service facilities located in Israel that are used either by domestic corporations or by multinational companies. The emphasis is 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 and managing technology. We will focus on formulation and execution of such strategies for established Israeli multinationals with world class operations and innovative strategies as well as start-ups and smaller companies that are scaling their global supply chain infrastructure to support growth. The course will consist of a set of site visits in Israel during Winter Break that will provide the opportunity to observe company processes directly and in-class sessions which include lectures, case discussions and management speakers who will describe their companies' current strategy. NOTE: THIS COURSE REQUIRES YOU TO SUBMIT AN APPLICATION FOR ADMISSION. Enrollment will be limited. Please contact Ramon Jones at email@example.com for more information. Application available at https://global.upenn.edu/pennabroad/pgs OIDD 101 is recommended but not required.
This course number is currently used for several course types including independent studies, experimental courses and Management & Technology Freshman Seminar. Instructor permission required to enroll in any independent study. Wharton Undergraduate students must also receive approval from the Undergraduate Division to register for independent studies. Section 002 is the Management and Technology Freshman Seminar; instruction permission is not required for this section and is only open to M&T students. For Fall 2020, Section 004 is a new course titled AI, Business, and Society. The course provides a overview of AI and its role in business transformation. The purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts. In terms of AI overview, we will go over a brief technical overview for students who are not actively immersed in AI (topic covered include Big Data, data warehousing, data-mining, different forms of machine learning, etc). In terms of business applications, we will consider applications of AI in media, Finance, retail, and other industries. Finally, we will consider how AI can be used as a source of competitive advantage. We will conclude with a discussion of ethical challenges and a governance framework for AI. No prior technical background is assumed but some interest in (and exposure to) technology is helpful. Every effort is made to build most of the lectures from the basics.
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.
From diversified sourcing to inventory buffers, Wharton experts weigh various risk-mitigation strategies businesses could employ to prevent disruptions like those we have seen during the coronavirus pandemic.Knowledge @ Wharton - 3/17/2020
The effects of the earthquake of March 2011 have rippled along every link in supply chain management.Wharton Magazine - 01/26/2012