Title :
Evaluating PID Control for Supply Chain Management: A Freshman Design Project
Author :
Rivera, Daniel E. ; Pew, Michael D.
Author_Institution :
Control Systems Engineering Laboratory, Department of Chemical and Materials Engineering, Ira A. Fulton School of Engineering, Arizona State University, Tempe, Arizona 85287-6006 Email: daniel.rivera@asu.edu, phone:
Abstract :
Supply chain management is concerned with the efficient movement of goods through a network of suppliers and retailers. As delayed dynamical systems, supply chains represent an excellent opportunity for illustrating the benefits of engineering control principles to what may normally be perceived as a "business" process. This paper describes an Excel modeling project developed by the authors for a first-year engineering course at Arizona State University that 1) introduces students to a meaningful application of control engineering principles, and 2) enables them to develop their computer-based problem-solving skills. The project contrasts standard inventory management policies based on traditional Economic Order Quantity (EOQ) approaches with a judiciously-designed Proportional-Integral-Derivative (PID) controller in the case of a single inventory in a supply chain. A well-tuned PID-based policy is able to generate effective decisions on orders that ultimately reduce the need for safety stock, eliminate backorders, and mitigate the "bullwhip effect"; such behavior in an actively managed supply chain represents desirable outcomes for the enterprise.
Keywords :
Application software; Control engineering; Control systems; Delay systems; Inventory management; Pi control; Problem-solving; Supply chain management; Supply chains; Three-term control;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582690