Abstract
Bottleneck shifting prediction has been widely applied to the remanufacturing system for throughput improvement, and it would directly influence the general presentation of the remanufacturing system. However, predicting dynamic bottlenecks of remanufacturing systems is complicated due to the disturbed environment (e.g. various processing time and uncertain processing routes). This paper built a metamorphosis CNT conjunct with coupled map lattice (CML) algorithm to predict the bottleneck shifting phenomenon in remanufacturing for the first time. The CNT was applied to the articulation of remanufacturing process, while the CML algorithm was devoted to calculating the dynamic indicator of the bottleneck. We took the value-added connecting rod as the research object to illustrate the availability of the proposed method. As validated by Arena simulation, the approach presented in this paper put forward is feasible to make an accurate prediction for shifting bottlenecks in a remanufacturing system.
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Data availability
The datasets used or analysed during the current study are available from the corresponding author on reasonable request.
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Financial support and sponsorship from the Natural Science Foundation of China under Grant number 51775086 and Natural Science Foundation of China under Grant number 51605169.
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Zheng Xue: Conceptualization, methodology, software, data curation, writing (original draft), visualization, formal analysis, investigation, writing—reviewing and editing
Tao Li: Supervision, project administration, formal analysis, investigation
Shitong Peng: Conceptualization, methodology, software, validation, investigation
Chaoyong Zhang: Visualization, conceptualization, methodology, software
Hongchao Zhang: Methodology, software
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Xue, Z., Li, T. & Peng, S. A model to predict bottlenecks over time in a remanufacturing system under uncertainty. Environ Sci Pollut Res (2021). https://doi.org/10.1007/s11356-021-15233-2
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DOI: https://doi.org/10.1007/s11356-021-15233-2