Article ID: | iaor1997542 |
Country: | United Kingdom |
Volume: | 47 |
Issue: | 3 |
Start Page Number: | 424 |
End Page Number: | 434 |
Publication Date: | Mar 1996 |
Journal: | Journal of the Operational Research Society |
Authors: | Ventura Jose A., Weng Michael X. |
In this paper the authors consider the single machine scheduling problem of minimizing the mean absolute deviation of job completion times from a restricted common delivery window. This problem is NP-hard. A Lagrangian relaxation procedure is proposed to solve the problem. Two efficient heuristics are also proposed. An experimental study on randomly generated problems is carried out to test the performance of the proposed methods. The computational results show that the obtained lower bounds are very good and the proposed heuristics generate near-optimal solutions.