Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

As a promising method for organizing remanufacturing production activities, remanufacturing scheduling has attracted increasing attention in recent years. However, extant studies have primarily focused on solving remanufacturing scheduling problems in a deterministic environment, while neglecting th...

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Veröffentlicht in:IEEE transactions on systems, man, and cybernetics. Systems Jg. 53; H. 6; S. 1 - 14
Hauptverfasser: Zhang, Wenyu, Shi, Jiaxuan, Zhang, Shuai, Chen, Mengjiao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.06.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Biogeography
Biogeography-based optimization (BBO) algorithm
Biological system modeling
discrete scenario set
End of life
Heuristic algorithms
Job shop scheduling
Optimal scheduling
Optimization algorithms
Optimization methods
Optimization models
Production scheduling
Remanufacturing
remanufacturing scheduling
robust scheduling
Robustness
Scheduling
Stochastic processes
Uncertainty
variable start-up batch size
ISSN:2168-2216, 2168-2232
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Zusammenfassung:As a promising method for organizing remanufacturing production activities, remanufacturing scheduling has attracted increasing attention in recent years. However, extant studies have primarily focused on solving remanufacturing scheduling problems in a deterministic environment, while neglecting the impact of uncertainties on remanufacturing. Therefore, a new scenario-based robust remanufacturing scheduling problem was investigated in this study, and a robust optimization model for this problem was established. In the proposed model, a discrete scenario set is used to describe the uncertain arrival time and uncertain processing time of end-of-life products, and the variable start-up batch size constraint is considered to improve the practicality and flexibility of the model. To solve this model, an improved biogeography-based optimization algorithm with a new three-dimensional unequal-length representation scheme is proposed, in which, new migration and mutation operators, a local search strategy, and a new batch promotion mechanism are designed to improve the algorithmic performance. The results of the experiments demonstrate the feasibility of the proposed model and the superiority of the presented algorithm in solving the proposed model.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2022.3225443