Article ID: | iaor1994616 |
Country: | United Kingdom |
Volume: | 23 |
Start Page Number: | 3 |
End Page Number: | 14 |
Publication Date: | Oct 1993 |
Journal: | International Journal of Physical Distribution & Logistics Management |
Authors: | Weber Charles A., Ellram Lisa M. |
Keywords: | programming: multiple criteria, artificial intelligence: decision support |
This paper explores the use of a multi-objective programming approach as a method for supplier selection in a just-in-time (JIT) setting. Based on a case study, it develops a model of JIT supplier selection which allows for simultaneous trade-offs of price, delivery and quality criteria. The analysis occurs in a decision support system environment. A multi-objective programming decision support system is seen as advantageous because such an environment allows for judgement in decision making while simultaneously trading off key supplier selection criteria. An additional flexibility of this model is that it allows a varying number of suppliers into the solution, and provides suggested volume allocation by supplier.