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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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 53; číslo 6; s. 1 - 14
Hlavní autori:	Zhang, Wenyu, Shi, Jiaxuan, Zhang, Shuai, Chen, Mengjiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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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Abstract	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.
AbstractList	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.
Author	Chen, Mengjiao Zhang, Shuai Zhang, Wenyu Shi, Jiaxuan
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SubjectTerms	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
Title	Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm
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