Scheduling multistage flowshops with parallel units—An alternative approach to optimization under uncertainty

Balasubramanian, J.; Grossmann, Ignacio E.

doi:10.1016/s1570-7946(03)80536-9

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2012

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“…In various papers, fuzzy states of flow shop problem has been studied and researched by various parameters and objectives, and many methods have been presented to solve this; see [30][31][32][33][34][35][36][37][38]. Also fuzzy problems were solved with ACO method by Li and Rong [39] and Cheng et al [40].…”

Section: Introductionmentioning

confidence: 99%

An ant colony system for solving fuzzy flow shop scheduling problem

Pour

Ashkezari²,

Andargoli³

2012

IJET

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During the past years, the flow shop has been regarded by many researchers and some extensive investigations have been done on this respect. Flow Shop includes n works performed on m machines in a same sequence. It is very difficult in the real world to determine the exact process time of an operation on a machine. Therefore, we consider in this article the process time as trapezoidal fuzzy numbers. Our purpose is that we obtain a sequence of works using such fuzzy numbers in order to minimize maximum fuzzy time of completion entire jobs or fuzzy makespan. We offered an optimization algorithm of Ant Colony System (ACS) to solve this problem. Finally, we present computational results for explanation and comparison with other articles in future.

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