Article ID: | iaor2000161 |
Country: | United Kingdom |
Volume: | 5 |
Issue: | 2 |
Start Page Number: | 147 |
End Page Number: | 153 |
Publication Date: | Mar 1998 |
Journal: | International Transactions in Operational Research |
Authors: | Pappis Costas P., Adamopoulos George I. |
Keywords: | fuzzy sets, markov processes |
In this paper, the single machine scheduling problem with fuzzy due-dates and controllable processing times is dealt with. The objective is to maximize the ‘grade of satisfaction’ incurred, subject to a total processing cost constraint. The former is a function of the deviations of the jobs' completion times from their most desirable due dates. The latter is considered to be a linear function of the jobs' compression. The problem is solved via a heuristic approach, which encapsulates concepts from Tabu Search, Genetic Algorithms and Simulated Annealing. Both Complete Enumeration and Branch and Bound techniques are used to evaluate the efficiency of the proposed method.