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The Strategy of Strengthening Efficiency and Environmental Performance of Product Changeover in the Multiproduct Production System

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  • Xiaoyan Li
  • Xuedong Liang
  • Zhi Li

Abstract

Product changeovers are especially critical for multiproduct environments where key production system requirements are flexibility, time, and quality. Massive waste of production time and environmental pollution increase with changeovers significantly. It is noted that the green supply chain is gradually emerging, and the environmental policies in countries are also increasing pressure on manufacturers globally. However, how to improve the changeovers’ environmental performance in manufacturing enterprise are not entirely focused. The present study aims to raise the changeovers’ time efficiency and reduce environmental pollution in the multiproduct production system. This paper first analyzes the characteristics of multiproduct production systems and the causes of inefficient work and pollution and then extracts the problems that need to be optimized. They are the frequent changeover work, complex operation programs, and load imbalance. Multiproduct Production Fast Changeover (MPFC) is developed based on these problems, which integrates the Analytic Hierarchy Process, Entropy Weight method, Divisive Analysis, and Firefly algorithm. In addition, Divisive Analysis’s distance calculation is improved for flexible clustering targets. Firefly algorithm’s exploration, exploitation, and population coordination mechanisms have also been enhanced. The effectiveness of MPFC is proved in a real multiple flow-lines production case: time efficiency was increased, while the multiple industrial pollutions and key resource consumption were also reduced.

Suggested Citation

  • Xiaoyan Li & Xuedong Liang & Zhi Li, 2023. "The Strategy of Strengthening Efficiency and Environmental Performance of Product Changeover in the Multiproduct Production System," SAGE Open, , vol. 13(3), pages 21582440231, September.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231193390
    DOI: 10.1177/21582440231193390
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    1. Abdul Waheed & Qingyu Zhang & Yasir Rashid & Muhammad Sohail Tahir & Muhammad Wasif Zafar, 2020. "Impact of green manufacturing on consumer ecological behavior: Stakeholder engagement through green production and innovation," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1395-1403, September.
    2. Kübra Yazıcı & Seda Hatice Gökler & Semra Boran, 2021. "An integrated SMED-fuzzy FMEA model for reducing setup time," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1547-1561, August.
    3. Sicheng Zhang & T.N. Wong, 2016. "Studying the impact of sequence-dependent set-up times in integrated process planning and scheduling with E-ACO heuristic," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4815-4838, August.
    4. Rossi, Andrea, 2014. "Flexible job shop scheduling with sequence-dependent setup and transportation times by ant colony with reinforced pheromone relationships," International Journal of Production Economics, Elsevier, vol. 153(C), pages 253-267.
    5. Wieslaw Kubiak & Yanling Feng & Guo Li & Suresh P. Sethi & Chelliah Sriskandarajah, 2020. "Efficient algorithms for flexible job shop scheduling with parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(4), pages 272-288, June.
    6. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    7. Zhou, Xiaoyang & Wei, Xiaoya & Lin, Jun & Tian, Xin & Lev, Benjamin & Wang, Shouyang, 2021. "Supply chain management under carbon taxes: A review and bibliometric analysis," Omega, Elsevier, vol. 98(C).
    8. Xinxin Hu & James D Blocher & Hans Sebastian Heese & Feng Zhou, 2016. "Scheduling products with subassemblies and changeover time," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(8), pages 1025-1033, August.
    9. Lu Liu & Jian-Jun Wang & Xiao-Yuan Wang, 2016. "Single machine due-window assignment scheduling with resource-dependent processing times to minimise total resource consumption cost," International Journal of Production Research, Taylor & Francis Journals, vol. 54(4), pages 1186-1195, February.
    10. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    11. Zhaojing Wang & Hao Hu, 2018. "Dynamic response to demand variability for precast production rescheduling with multiple lines," International Journal of Production Research, Taylor & Francis Journals, vol. 56(16), pages 5386-5401, August.
    12. Amalendu Singha Mahapatra & Hardik N Soni & Maheswar Singha Mahapatra & Biswajit Sarkar & Sanat Majumder, 2021. "A Continuous Review Production-Inventory System with a Variable Preparation Time in a Fuzzy Random Environment," Mathematics, MDPI, vol. 9(7), pages 1-27, March.
    13. Zanoni, S. & Bettoni, L. & Glock, C. H., 2014. "Energy Implications in a Two-Stage Production System with Controllable Production Rates," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 62117, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Matthias Thürer & Mark Stevenson, 2022. "Order release, dispatching and resource assignment in multiple resource-constrained job shops: an assessment by simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 60(12), pages 3669-3681, June.
    15. Mota, Bruna & Gomes, Maria Isabel & Carvalho, Ana & Barbosa-Povoa, Ana Paula, 2018. "Sustainable supply chains: An integrated modeling approach under uncertainty," Omega, Elsevier, vol. 77(C), pages 32-57.
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