Article ID: | iaor20031401 |
Country: | United Kingdom |
Volume: | 29 |
Issue: | 14 |
Start Page Number: | 2073 |
End Page Number: | 2085 |
Publication Date: | Dec 2002 |
Journal: | Computers and Operations Research |
Authors: | Mondal Sakib A. |
Keywords: | programming: dynamic, heuristics |
We discuss a non-preemptive single-machine job sequencing problem where the objective is to minimize the sum of squared deviation of completion times of jobs from a common due date. There are three versions of the problem – tightly restricted, restricted and unrestricted. Separate dynamic programming formulations have already been suggested for each of these versions, but no unified approach is available. We have proposed a pseudo-polynomial DP solution and a polynomial heuristic for general instance. Computational results show that tightly restricted instances of up to 600 jobs can be solved in less than 6 s. General instances of up to 80 jobs take less than 2 s.