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calendar_month Publicación: 06/05/2001

Decomposition methods for large job shops

Autor: Marcos Singer

Profesor Relacionado: Marcos Singer

A rolling horizon heuristic is presented for large job shops, in which the total weighted tardiness must be minimized. The method divides a given instance into a number of subproblems, each having to correspond to a time window of the overall schedule, which are solved using a shifting bottleneck heuristic. A number of rules for defining each time window are derived. The method is tested by using instances up to 10 machines and 100 operations per machine, outperforming a shifting bottleneck heuristic that has been shown to generate close to optimal results.

Fuente: Computers and Operations Research 28


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