We present a shifting bottleneck heuristic for minimizing the total weighted tardiness in a job shop. The method decomposes the job shop into a number of single-machine subproblems that are solved one after another. Each machine is scheduled according to the solution of its corresponding subproblem.
A heuristic procedure for makespan minimization in job shops with multiple identical processors
β Scribed by Dileep R. Sule; Karthick Vijayasundaram
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 364 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0360-8352
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β¦ Synopsis
Scheduling has been and continues to be a major issue in production planning. Job shop scheduling is one area where a considerable amount of research has been and continues to be pursued. Usual emphasis is on one machine per work center job shop scheduling. There appears to be very limited literature available on scheduling a job shop problem which requires scheduling of n jobs in m machine centers where each machine center may have k number of identical processors (though the number of identical processors may vary from one machine center to next). We discuss here, the problem of minimize of the makespan for such a job shop arrangement The problem can be represented by the symbol m x n x k.
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Increases in the demand for integrated circuits have highlighted the importance of meeting customer quality and on-time delivery expectations in the semiconductor industry. A modiΓΏed shifting bottleneck heuristic is developed for minimizing the total weighted tardiness in a semiconductor wafer fabri