printer friendly pageOIT 563: Advanced Topics in Supply Chain Management and Technologies
In this course we will have a series of guest speakers who will discuss real businesses applying various technologies. Students come to class prepared by reading the assigned material and discuss the topic with the speakers in class. The course will provide opportunities to learn how different technologies are integrated to create values to end users. Students are expected to have some basic understanding of technologies and review them with readings on their own, so we will not discuss the technology per se in class.
Terms: Win
| Units: 2
Instructors:
Whang, S. (PI)
OIT 587: Global Biodesign
This course examines the development and commercialization of innovative medical technologies in different global settings. Faculty and guest speakers from the medtech field will discuss the status of the industry, as well as opportunities in and challenges to medical technology innovation unique to seven primary geographic regions: Africa, China, Europe, India, Japan, United States and Latin America. Students will be exposed to the biodesign innovation process, which provides a proven approach for identifying important unmet medical needs and inventing meaningful solutions to address them. They will also explore key differences between the covered geographies, which range from emerging markets with vast bottom-of-the-pyramid and growing middle class populations, to well-established markets with sophisticated demands and shifting demographics.
Terms: Spr
| Units: 1
Instructors:
Doshi, R. (PI)
;
Mairal, A. (PI)
;
Pietzsch, J. (PI)
...
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OIT 601: Fundamentals of OIT
The goal of this course is to provide first-year Ph.D. students in OIT with sufficient fundamentals to subsequently take advanced research seminars. The course covers the very basics of six topics: queueing theory, inventory theory, multi-echelon inventory theory, game theory, stochastic dynamic programming and econometrics. Lectures will be given by advanced Ph.D. students in OIT.
Last offered: Autumn 2013
OIT 624: Models and Applications of Inventory Management
The first part of the course reviews fundamental models in inventory management. Topics include deterministic models (EOQ, power-of-two policies, ELS, serial and assembly networks), Newsvendor, multi-period stochastic models under backlogging and lost-sales, multi-echelon and supply chain models, and infinite-horizon formulations. In the process, the course also reviews several fundamental mathematical concepts in inventory theory, including convexity, duality, finite / infinite state Markov decision processes, and comparative statics.nThe second part discusses advanced modeling concepts, and several new application areas. Topics include distribution-free and robust models, supply uncertainty and disruptions, flexibility and supply chain design, joint pricing and inventory, and problems at the interface of supply chains and finance.
Terms: Win
| Units: 3
Instructors:
Iancu, D. (PI)
OIT 655: Foundations of Supply Chain Management
This course provides an overview of research in supply chain management (SCM). It has three parts. The first part reviews basic tools of SCM research through selected readings in economics, IT and operations research. The second part reviews the literature in SCM, covering topics such as inventory models, information sharing, information distortion, contract design, value of integration, performance measurement, risk management, and the use of markets for procurement. The last part is devoted to recent advances in SCM research.
Terms: Spr
| Units: 3
Instructors:
Whang, S. (PI)
OIT 663: Methods of Operations/Information Systems
This course covers basic analytical tools and methods that can be used in research in operations and information systems. The emphasis is on foundations of stochastic inventory theory. Basic topics include convexity, duality, induced preference theory, and structured probability distributions. Much of the course is devoted to Markov decision processes, covering finite and infinite horizon models, proving the optimality of simple policies, bounds and computations, and myopic policies.
Last offered: Winter 2010
| Repeatable
2 times
(up to 8 units total)
OIT 664: Stochastic Networks
Processing network models may be used to represent service delivery systems, multi-stage manufacturing processes, or data processing networks. The first half of this two-unit course consists of lectures on performance analysis (e.g., estimating congestion and delay) for classical product-form networks and for Brownian networks. The second half consists of student presentations of recent papers on managing processing networks, typically with game-theoretic aspects. Prerequisites: Statistics 217 and 218, or consent of instructor; some prior exposure to stochastic models in general, and queueing theory in particular, is useful but not essential.
Last offered: Spring 2014
OIT 665: Seminar on Information-Based Supply Chain Management
This seminar will highlight the research evolution and advances on the ssmart use of information in supply chain management. Such usage has helped companies sharing information to coordinate their supply chain and to realign their incentives. It has also helped reduce the so-called bullwhip effect. Latest information technology like RFID (radio-frequency identification) has also enabled visibility and structural changes that result in significant supply chain performance enhancements. This seminar will focus on the modeling approaches used by researchers that tried to capture the values and potentials of such applications.
Last offered: Winter 2011
OIT 673: Data-driven Decision Making and Applications in Healthcare
This course aims to introduce students to research topics in data-driven decision making with specific attention to healthcare applications. However, most concepts are applicable in areas beyond healthcare as well. Examples of topics are: prediction and risk adjustment, computational and statistical challenges associated with large-scale data, and dynamic decision making under uncertainty.
Terms: Spr
| Units: 4
Instructors:
Bayati, M. (PI)
OIT 691: PhD Directed Reading (ACCT 691, FINANCE 691, GSBGEN 691, HRMGT 691, MGTECON 691, MKTG 691, OB 691, POLECON 691, STRAMGT 691)
This course is offered for students requiring specialized training in an area not covered by existing courses. To register, a student must obtain permission from the faculty member who is willing to supervise the reading.
Terms: Aut, Win, Spr, Sum
| Units: 1-15
| Repeatable
for credit
Instructors:
Bayati, M. (PI)
;
Bimpikis, K. (PI)
;
Gur, Y. (PI)
;
Iancu, D. (PI)
;
Lee, H. (PI)
;
Mendelson, H. (PI)
;
Patell, J. (PI)
;
Plambeck, E. (PI)
;
Wein, L. (PI)
;
Whang, S. (PI)
;
Zenios, S. (PI)
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