Priority rules for job shops with weighted tardiness costs
Management Science
The shifting bottleneck procedure for job shop scheduling
Management Science
An algorithm for solving the job-shop problem
Management Science
Job shop scheduling by simulated annealing
Operations Research
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Multi-objective flexible job shop schedule: Design and evaluation by simulation modeling
Applied Soft Computing
Computers and Operations Research
A two-stage genetic algorithm for multi-objective job shop scheduling problems
Journal of Intelligent Manufacturing
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This paper considers the job shop scheduling problem to minimize the total weighted tardiness with job-specific due dates and delay penalties, and a heuristic algorithm based on the tree search procedure is developed for solving the problem. A certain job shop scheduling to minimize the maximum tardiness subject to fixed sub-schedules is solved at each node of the search tree, and the successor nodes are generated, where the sub-schedules of the operations are fixed. Thus, a schedule is obtained at each node, and the sub-optimum solution is determined among the obtained schedules. Computational results on some 10 jobs and 10 machines problems and 15 jobs and 15 machines problems show that the proposed algorithm can find the sub-optimum solutions with a little computation time.