2022
DOI: 10.3390/a15070246
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A Two-Stage Multi-Objective Genetic Algorithm for a Flexible Job Shop Scheduling Problem with Lot Streaming

Abstract: The work in this paper is motivated by a recently published article in which the authors developed an efficient two-stage genetic algorithm for a comprehensive model of a flexible job-shop scheduling problem (FJSP). In this paper, we extend the application of the algorithm to solve a lot streaming problem in FJSP while at the same time expanding the model to incorporate multiple objectives. The objective function terms included in our current work are the minimization of the (1) makespan, (2) maximum sublot fl… Show more

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Cited by 6 publications
(1 citation statement)
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“…They formulate two mixed-integer nonlinear programming models to tackle this problem [1]. Danial and Fantahun proposed a two-stage GA for the HFSP with LS [2]. Beren and Ömer employed a GA to solve the HFSP with constraints on machine capabilities and limited waiting times [3].…”
Section: Introductionmentioning
confidence: 99%
“…They formulate two mixed-integer nonlinear programming models to tackle this problem [1]. Danial and Fantahun proposed a two-stage GA for the HFSP with LS [2]. Beren and Ömer employed a GA to solve the HFSP with constraints on machine capabilities and limited waiting times [3].…”
Section: Introductionmentioning
confidence: 99%