Article ID: | iaor1995952 |
Country: | United States |
Volume: | 41 |
Issue: | 7 |
Start Page Number: | 913 |
End Page Number: | 933 |
Publication Date: | Dec 1994 |
Journal: | Naval Research Logistics |
Authors: | Kim Yeong-Dae, Yano Candace Arai |
The authors consider a single-machine scheduling problem with the objective of minimizing the mean (or equivalently, total) tardiness and earliness when due dates may differ among jobs. Some properties of the optimal solution are discussed, and these properties are used to develop both optima and heuristic algorithms. Results of computational tests indicate that optimal solutions can be found for problems with up to 20 jobs, and that two of the heuristic procedures provide optimal or very near optimal solutions in many instances.