A new environment-aware scheduling method for remanufacturing system with non-dedicated reprocessing lines using improved flower pollination algorithm

Shi, Jiaxuan; Zhang, Wenyu; Wei-rui, Wang; Lin, Jian; Feng, Ruijun

doi:10.1016/j.jmsy.2020.08.006

Cited by 29 publications

(4 citation statements)

References 38 publications

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“…It was used to obtain the optimal value recovery options for used components and to recover valuable components from EOL products. Shi et al [117] proposed a new environment-aware scheduling model for the remanufacturing system. An improved flower pollination algorithm with a new two-dimensional representation scheme was employed, and the results obtained were compared against six baseline algorithms (different variants of genetic algorithm, simulated annealing, and particle swarm optimization) for scheduling problems.…”

Section: Optimization Techniques-based Methodsmentioning

confidence: 99%

A Qualitative and Quantitative Analysis of Remanufacturing Research

et al. 2021

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The advancements in human lifestyle result in growth in daily demands of products, and accordingly, an increased rate of manufacturing. However, the resources on the planet Earth are limited, thus depleting day-by-day. More goods also contribute to more end-of-life (EOL) dumping or even before EOL in some cases. Therefore, an interest in remanufacturing has appeared, and it offers a solution that can solve or perhaps mitigate the risks of consuming more resources and increasing waste. Remanufacturing is a procedure of bringing used products to “like-new” functional status with a matching warranty. However, due to its relative novelty in terms of research field and industry, remanufacturing is poorly understood. People often mix it with other terms such as recycling, reconditioning, or repair. Therefore, in this research, the focus is on the remanufacturing systems’ definition, relevance, main phases, case studies, and solution methods proposed by various researchers. The word ‘remanufacturing’ is clearly described in this paper by differentiating it from alternative green manufacturing initiatives. Both qualitative and quantitative analysis of literature are performed. The quantitative analysis is conducted using a bibliometric method. For quantitative analysis, a systematic approach is utilized for research papers’ selection. The qualitative analysis has been carried out by discussing different aspects of remanufacturing and how the researchers are working on its different domains and phases. The review showed that researchers focused on some phases more as compared with others. Moreover, it is also revealed from the literature that the common solutions methods applied in this domain are optimization techniques. Future research directions are also identified and presented.

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Section: Optimization Techniques-based Methodsmentioning

confidence: 99%

A Qualitative and Quantitative Analysis of Remanufacturing Research

et al. 2021

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“…Yu and Lee (2018) studied the distribution and sequencing of three remanufacturing subsystems with component matching requirements. In our previous work, Shi et al (2020) proposed an environment-aware scheduling model for solving the problem of remanufacturing scheduling, which coordinates the three subsystems to optimize the total completion time in consideration of environmental factors. However, the above works did not consider the different types and degrees of damage caused by the various operation conditions of EOL products, which complicate the reprocessing routes of defective components.…”

Section: Related Workmentioning

confidence: 99%

“…The number of operations in each reprocessing route was randomly generated from 2 to 4. Furthermore, inspired by Shi et al (2020), several other related parameters, were randomly generated as shown in Table 1. Inspired by Alcan and Bas ¸lıgil (2012), the number of parallel workstations in the disassembly (reassembly) subsystem was set to 3.…”

Section: Experimental Designmentioning

confidence: 99%

A new remanufacturing system scheduling model with diversified reprocessing routes using a hybrid meta-heuristic algorithm

Wang

Liu

Zhang

et al. 2022

Concurrent Engineering

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With the increasingly serious problem of environmental pollution and resource scarcity, remanufacturing has become one of the popular research fields to solve these issues. However, the practical information of end-of-life products is different (e.g. type and degree of damage) because of their various operation conditions, which complicates the reprocessing routes. Therefore, a new remanufacturing system scheduling model is proposed in this study that considers not only the coordination of remanufacturing subsystems but also job-shop-type reprocessing shops related to the diversified reprocessing routes. A hybrid meta-heuristic algorithm combining differential evolution algorithm and biogeography-based optimization algorithm through a new representation scheme is presented to address the model efficiently. Furthermore, the basic algorithms are improved by integrating the self-adaptive parameters, efficient migration and mutation operators, local search strategy, and restart strategy. Simulation experiments are performed to demonstrate the effectiveness and practicality of the proposed method compared with four baseline algorithms.

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“…Yu and Lee (2018b) considered a due-date-based objective to minimize the total family tardiness in the job shop scheduling problem with job families. Shi et al (2020) proposed an energy-aware remanufacturing scheduling method for the entire remanufacturing system with non-dedicated reprocessing lines. Fu et al (2021) focused on a stochastic multi-objective remanufacturing scheduling problem that integrates disassembly, reprocessing, and reassembly sub-systems.…”

Section: A Job Shop Scheduling Problemmentioning

confidence: 99%

A New Job Shop Scheduling Method for Remanufacturing Systems Using Extended Artificial Bee Colony Algorithm

et al. 2021

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With the emergence of the remanufacturing industry, scheduling problems related to remanufacturing systems have drawn considerable interest from scholars. There are usually two execution modes of remanufacturing for reprocessing components, i.e., replacement mode and repair mode. However, few studies have focused on the job shop scheduling problem that considers the trade-off between the two execution modes. Thus, a new job shop scheduling method with job families (JSS-JF) is proposed. It decomposes the scheduling problem into three sub-problems: (1) execution mode selection; (2) replacement job assignment and sequencing; and (3) repair machine assignment and operation sequencing. To solve the proposed JSS-JF model, an extended artificial bee colony algorithm with a new three-dimensional encoding scheme is presented to find a near-optimal solution of the proposed JSS-JF model. The crossover and mutation operators, local search, and elite replacement strategy are also integrated in the proposed algorithm. The experiments are conducted for verifying the practicality and effectiveness of the presented algorithm by comparing with six baseline algorithms.INDEX TERMS Job shop scheduling, job families, remanufacturing, execution mode, extended artificial bee colony algorithm.

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A new environment-aware scheduling method for remanufacturing system with non-dedicated reprocessing lines using improved flower pollination algorithm

Cited by 29 publications

References 38 publications

A Qualitative and Quantitative Analysis of Remanufacturing Research

A Qualitative and Quantitative Analysis of Remanufacturing Research

A new remanufacturing system scheduling model with diversified reprocessing routes using a hybrid meta-heuristic algorithm

A New Job Shop Scheduling Method for Remanufacturing Systems Using Extended Artificial Bee Colony Algorithm

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