Study on constraint scheduling algorithm for job shop problems with multiple constraint machines

Publication Type:
Journal Article
International Journal of Production Research, 2008, 46 (17), pp. 4785 - 4801
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This paper focuses on a job-shop scheduling problem with multiple constraint machines (JSPMC). A constraint scheduling method for the JSPMC is proposed. It divides the machines in the shop into constraint and non-constraint machines based on a new identification method, and formulates a reduced problem only for constraint machines while replacing the operations of non-constraint machines with time lags. The constraint machines are scheduled explicitly by solving the reduced problem with an efficient heuristic, while the non-constraint machines are scheduled by the earliest operation due date (EODD) dispatching rule. Extensive computational results indicate that the proposed constraint scheduling algorithm can obtain a better trade-off between solution quality and computation time compared with various versions of the shifting bottleneck (SB) methods for the JSPMC.
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