Article ID: | iaor1996152 |
Country: | United Kingdom |
Volume: | 33 |
Issue: | 9 |
Start Page Number: | 2535 |
End Page Number: | 2554 |
Publication Date: | Sep 1995 |
Journal: | International Journal of Production Research |
Authors: | Rajendran C., Raghu T.S. |
Keywords: | optimization: simulated annealing |
In this article the authors present a real-life study of a job shop manufacturing ball screws. The aim of the study is to suggest an efficient scheduling and due-date setting policy for the shop. Three different methodologies for setting parameter coefficients for due-date setting in a job shop are proposed. These methodologies are based on a search algorithm, simulated annealing algorithm, and a combination of simulated annealing algorithm and regression analysis. It is found that the combination of a simulated annealing algorithm with regression analysis provides better due-date estimates in minimizing the root mean square of lateness.