Título:
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Combining simulation with metaheuristics in distributed scheduling problems with stochastic processing times
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Autor/a:
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Calvet Liñan, Laura; Fernández-Viagas Escudero, Víctor; Framiñán Torre, José Manuel; Juan Pérez, Ángel Alejandro
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Abstract:
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In this paper, we focus on a scenario in which a company or a set of companies conforming a supply network must deliver a complex product (service) composed of several components (tasks) to be processed on a set of parallel flow-shops with a common deadline. Each flow-shop represents the manufacturing of an independent component of the product, or the set of activities of the service. We assume that the processing times are random variables following a given probability distribution. In this scenario, the product (service) is required to be finished by the deadline with a user-specified probability, and the decision-maker must decide about the starting times of each component/task while minimizing one of the following alternative goals: (a) the maximum completion time; or (b) the accumulated deviations with respect to the deadline. A simheuristic-based methodology is proposed for solving this problem, and a series of computational experiments are performed. |
Materia(s):
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-job shop scheduling -random variables -probability distribution -computational modeling -companies -production facilities -problema Job Shop -variables aleatorias -distribución de probabilidad -modelo computacional -centros de producción -empresa -problema Job Shop -variables aleatòries -distribució de probabilitat -model computacional -centres de producció -empresa -Algorithms -Algorismes -Algoritmos |
Derechos:
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(c) Author/s & (c) Journal
info:eu-repo/semantics/restrictedAccess |
Tipo de documento:
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Objeto de conferencia |
Editor:
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Winter Simulation Conference (WSC). Proceedings
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