- IEMS
382 - Production Planning and Scheduling
This course is a basic introduction to production and inventory control. The purpose of the course is to introduce students to the major tradeoffs involved in designing an effective production and inventory control system. A wide variety of issues ranging from forecasting of demand, aggregate planning, deterministic and stochastic inventory models and scheduling to Material Requirement Planning (MRP), Just In Time (JIT) and variability analysis are discussed. The emphasis is on model formulation and analysis through the use of simple models as well as more practical situtaions through the use of case studies.
- IEMS
464 - Advanced Queueing Theory
This course covers a broad range of queueing systems. It starts with a review of Poisson process and Markov chains and introduces the Birth-Death queueing systems. Then queues with Erlang distributions, bulk arrival and bulk service are analyzed. M/G/1, G/M/1 and G/G/C queues, retrial queues, priority queues, queues with vacations, netwrok of queues and polling systems are another topics which are discussed in this course.
- IEMS 480-2 - Production and Logistics II
- IEMS 483 - Reliability and Maintenance in Production Systems
This is the second course in a two-course sequence on modeling and analysis of production and logistics systems. Emphasis will be on developing a framework for organizing tools and research results in this field and on modeling techniques necessary to conduct production system research. Specific topics to be covered include: Control and design of single-stage production systems such as produce-to-order and produce-to-stock systems, control and design of multiple-stage production systems includding flow lines, transfer lines and push and pull systems such as MRP, JIT and CONWIP, analysis of multiple-stage production systems based on the queueing network and other stochastic modeling techniques, introduction to deterministic and stochastic scheduling for single and multiple stage problems such as flow shop and job shop scheduling.
This course covers topics in reliability engineering, optimal maintenance and replacement policies and production control of manufacturing systems with limited repair resources. Specifically, it includes: Introduction to reliability engineering, Catastrophic failure models and reliability functions, Applications of probability distribution functions in reliability evaluation, Combinatorial aspects of system reliability, Reliability evaluation of engineering systems using Markov models, Reliability testing, Transfer lines, Optimal preventive maintenance policies, Optimal replacement policies, Optimal integrated production/maintenance policies in production systems subject to failures.