Article ID: | iaor2001695 |
Country: | United States |
Volume: | 47 |
Issue: | 4 |
Start Page Number: | 559 |
End Page Number: | 569 |
Publication Date: | Jul 1999 |
Journal: | Operations Research |
Authors: | Chand Suresh, Blocher James D., Sengupta Kaushik |
Keywords: | scheduling, production: JIT |
In a multiproduct, discrete-item manufacturing environment, it is often more economical to have one ‘flexible’ machine to produce several products rather than to have a dedicated machine for the production of each product. We consider the problem of scheduling multiple products on a single-finite-capacity resource when faced with product-dependent, but sequence-independent, changeover costs and times. The problem horizon is assumed finite and the demand time-varying and known over this horizon. The objective is to find a feasible schedule that meets all demand on time and minimizes the total changeover cost. With the ‘delivery-on-time-or-else’ mentality and the trend toward shorter order-to-delivery lead times, scheduling and managing changeovers has become just that much more important. We first present analytical results to reduce the feasible solution space and then develop a branch-and-bound algorithm to solve this NP-complete problem. Computational results are presented that show that the algorithm can solve realistic size problems in a reasonable amount of time.