Goal programming methods for implementation of just-in-time production

Abstract

Lot size and setup time reduction for the just-in-time (JIT) system have been studied extensively using different EOQ model approaches. However, the decision making process for lot size and setup time reduction under JIT usually involves mixed model production and multiple conflicting objectives. Thus, goal programming (GP) is an ideal tool for this decision problem. This paper deals with the problem of fabricating different models of the same general product on one production line. It also discusses the superior aspects of GP over conventional EOQ approaches when solving lot size and setup time problems for JIT. A GP model is presented and the implementation results of an illustrative problem are discussed.

Notes

SANG M. LEE is a University Eminent Scholar, Regents Distinguished Professor, and Chairman of the Management Department at the University of Nebraska-Lincoln. He is the author or co-author of 24 books and over 140 articles in various leading journals of Management, Operations Management and Management Science. Dr Lee served as President of the Decision Sciences Institute (DSI) and is currently President of the Pan-Pacific Business Association. He is a Fellow of DSI and the Academy of Management. He has organized 14 international conferences and has been a frequent invited speaker in Europe, Japan, China and, of course, the US. He is a member of editorial boards of 24 journals and is listed in the Who's Who in America and 40 other such biographical lists.

SOONG H. CHUNG, Ph.D. is Assistant Professor of Production and Operations Management in the School of Business at the University of Wisconsin-Eau Claire. He received his Ph.D. in Management from the University of Nebraska-Lincoln.

ANDRÉ M. EVERETT is a Graduate Research Assistant in the Department of Management at the University of Nebraska-Lincoln, nearing completion of his PhD programme in Management Information Systems.