Design and Control of Production and Manufacturing Systems
Learning Objective:Learn to design and control production/mfg/service systems through a science-based understanding of production system operations and flow.
Description:To achieve cost-effective, sustainable production/mfg/service systems, a thorough understanding of production system operations and flow is essential. This course focuses on the fundamental understanding of the factors affecting operational performance of production systems. We develop this understanding by discussing the basic models and techniques of inventory control, queuing analysis, job scheduling, and supply networks, and their role in the context of analytics and informatics (A&I). Fall 2016 Syllabus
Topics Covered:Inventory control - EOQ model, dynamic lot-sizing, dynamic lot-sizing in supply chains/networks, news vendor model, base stock model, (Q, r) and (s,S) models; Queuing flow analysis - M/M/1, M/M/s, M/M/s/k, M/G/1, G/M/1, Multi-class queues, Queuing networks; Scheduling - single machine, parallel machines, flow shops, job shops; supply decision networks, collaborative production control.
Prerequisites:Basic concepts of production control and Undergraduate-level statistics and optimization.
Applied / Theory:60 / 40
Web Content:Syllabus, grades, lecture notes, handouts, homework assignments, chat room, solutions, and Piazza.
Homework:Approximately six assignments accepted via Blackboard.
Projects:Required and may or may not be job related. The focus topic of this semester is the quantitative analysis of distributed decision support for operational performance prediction and sustainability of production, manufacturing, or service systems. Students will work in teams of three, desirably teaming off- and on-campus students. This project involves a formal technical report and presentation.
Exams:Two take-home exams and a final project.
Textbooks:Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.
No textbook required. Three optional reference books:
1. WW. J. Hopp and M.L. Spearman, "Factory Physics," McGraw-Hill, 2008 or later;
2. M. Pinedo, "Scheduling: Theory, Algorithms and Systems," Springer, 2008;
3. S. Nahmias and T.L. Olsen, Production and Operations Analysis, 7th ed., Waveland Press, 2015.