Research on green single machine scheduling based on improved ant colony algorithm

Qiao, Dongping; Wang, Yajing; Pei, Jie; Bai, Wentong; Wen, Xiaoyu

doi:10.1177/00202940211064243

Cited by 8 publications

(1 citation statement)

References 35 publications

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“…Based on the constant mutation of individuals, the method preserves the combination of variables that result in better outcomes. Since metaheuristics approaches can handle very complex, even non-linear problems, they are also suitable for use in weighted tardiness problems (Besten, et al, 2000), even in the case of multi-objective problems (Qiao, et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

State-Dependent Weighting in Fuzzy Signatures Optimizing Material Handling Management Problems

Ferenczi

Kóczy

Lilik

2022

JCCE

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The scheduling of jobs in functional production systems (Job shop scheduling) is a frequently researched area of the literature. However, the management of material handling in functional production systems receives little attention. Publications in connection with that can scarcely be found, even though in the case of small and medium-sized companies the problem is definitely topical. For them, solving this problem can mean an opportunity for improvement. This paper presents an expert knowledge-based method that contains novelties and uses fuzzy signatures to solve this problem. The performance of the proposed method is compared with the performance of other methods which are common in the industry or in the literature (Mixed Integer Linear Programming, priority dispatch rules, human decisions). We present the construction of the fuzzy signature-based method, the aggregations used and as something novel, the method to select the proper weights for the state-dependent dynamic weighting.

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Section: Literature Reviewmentioning

confidence: 99%