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Curriculum |
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OPNS 430 Operations Management (1): Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. Prerequisites: DECS-433 or DECS-436.
OPNS 440 Analytical Methods for Operations (1): In this course, students learn to model, analyze and solve operations decision problems. The course emphasizes logical thinking and systematic analysis of business decisions using Excel spreadsheets. Topics covered include optimal resource allocation, risk analysis by simulation, sequential decision analysis, and data analysis including regression and forecasting. Prerequisites: Background in basic probability and statistics, and enrollment in the MMM Program
OPNS 451 Quality Planning and Control (1): Total quality control and the role of management; product and process design for reliability; process capability and statistical process control; equipment maintenance and replacement; inspection sampling procedures. Prerequisites: OPNS 430 or permission of instructor.
OPNS 452 Operations Scheduling (1): Decision models for sequencing customized operations, assigning standardized processes, and scheduling nonrepetitive activities.
OPNS 453 Inventory Management (1): Planning and control of procurement and production quantities and processing capacities. Forecasting; inventory systems; just-in-time production; material requirements planning; capacity management. Prerequisites: OPNS 430 or permission of instructor.
OPNS 454 Operations Strategy (1): In this course, students learn how operations strategy can add value by tailoring a set of core principles to a specific business setting. The course provides a framework to formulate an operations strategy and analyze, value, and optimize the key decisions involved in operations strategy. The key evaluation metric is how operations strategy impacts the net present value of the firm. The key decisions studied are choosing competitive operational competencies and benchmarking; capacity expansion, timing, flexibility and location; sourcing and contracting; risk management and operational hedging; revenue management; improvement and learning. This course builds on the core operations class. Prerequisites: ( OPNS-430-0 OR OPNS-438-B OR IEMS-471-1 OR OPNS-440-0 ) AND ( MECN-430-0 OR MECN-436-0 )
OPNS 455 Logistics and Supply Chain Management (1): What are the key capabilities a supply chain must develop to support the business strategy of a firm? What is the relationship between the desired capabilities and the structure of a supply chain? This course provides a framework to answer these questions. We define supply chain structure in terms of the following drivers of performance: facilities, information, inventory and transportation. The relationship between structure and performance is analyzed using various case studies that require students to develop analytical spreadsheet models to support their decision making. Prerequisites: OPNS 430 or OPNS 438 or IEMS 471 or MECN 430.
OPNS 463 Stochastic Calculus and Control with Applications (1): Ito Calculus, HJB equations, SDEs and their applications to performance evaluation, dynamic control of manufacturing and service operations, and telecommunications systems, heavy traffic approximations.
OPNS 470 Operations Economics (1): Applications of economics in operations management. Topics include supply chain contracting, capacity investment and hedging, management of queues via prices, and agency in operations.
OPNS 475 Issues in Operations Management (1): Current issues; topics vary. May be repeated for credit with change of topic.
OPNS 481 Revenue Optimization (1): In this course, we study demand-management decisions and the methodology and systems required for making them. This course covers the mathematical models that underlie contemporary Revenue Management (RM) practices and the current research areas.
OPNS 483 Stochastic Foundations (1): This course provides doctoral students the foundations of applied probability and stochastic modeling. The first part of the course covers basic concepts in probability, such as the Borel Cantelli Lemma and the strong law of large numbers; the second part covers renewal and regenerative processes including Markov chains; and the last part covers Martingales and Brownian motion. Throughout, we will be applying some of the theoretic results to the analysis of queues. Students are expected to have some background in probability (such as IEMS 202) and stochastic processes; no measure theory background is required.
OPNS 499 Independent Study (1-3) : Permission of instructor and department required. May be repeated for credit.
OPNS 520 Doctoral Seminar in Operations (1): Evaluation of the literature of the field and development of comprehensive concepts relating to management of operating functions.
OPNS 520-6 Contemporary Topics in Operations Management (1): This course is designed to introduce students to contemporary research topics in the field of Operations Management. Some familiarity with statistical/empirical methods, dynamic programming, mathematical programming, stochastic processes is required.
OPNS 590 Research (1-3) : Independent investigation of selected problems pertaining to thesis or dissertation. May be repeated for credit.
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