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Standardizing Components and Rotating Workers Using GT-Based Algorithm—A Case Study

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  • Ming-Liang Li

    (Department of Industrial Management, Oriental Institute of Technology, 58, Sec.2, Sihchuan Rd., Banqiao Dist., New Taipei City 22061, Taiwan)

Abstract

In both manufacturing and remanufacturing systems, exploiting bulk buying and avoiding delivery delays due to material shortages are crucial. One method that aids in these processes is component standardization. Additionally, company managers seek to reduce labor costs and mitigate the risk of sudden worker resignation or absence due to, for example, reasons associated with the COVID-19 pandemic. The aforementioned problems could be solved using the sorting algorithm proposed in this study. The concept of the proposed algorithm is based on group technology. One numerical example and two case studies are presented to demonstrate the utility of the proposed algorithm. The first example suggested that the performance of the algorithm proposed in this study is superior to another one in the literature. The second one demonstrated that the algorithm in this work achieves component standardization by reducing an initial number of 12 components down to 6. The final case study provides an effective means of grouping workers with similar operational abilities and suggests how to assign new tasks to other skilled workers if a worker resigns suddenly or cannot attend work due to pandemic prevention measures.

Suggested Citation

  • Ming-Liang Li, 2021. "Standardizing Components and Rotating Workers Using GT-Based Algorithm—A Case Study," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7880-:d:594246
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    References listed on IDEAS

    as
    1. Guangzhou Yan & Yaodong Ni & Xiangfeng Yang, 2020. "Optimal Pricing in Recycling and Remanufacturing in Uncertain Environments," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    2. Perera, H. S. C. & Nagarur, Nagen & Tabucanon, Mario T., 1999. "Component part standardization: A way to reduce the life-cycle costs of products," International Journal of Production Economics, Elsevier, vol. 60(1), pages 109-116, April.
    3. Tong Shu & Jiajia Xu & Shou Chen & Shouyang Wang & Kin Keung Lai, 2018. "Remanufacturing Decisions with WTP Discrepancy and Uncertain Quality of Product Returns," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    4. Spalevic, Zaklina & Ilic, Milos & Filipic, Goran, 2019. "Правни и економски аспекти интелектуалне својине у цyбер простору," Ekonomika, Journal for Economic Theory and Practice and Social Issues, Society of Economists Ekonomika, Nis, Serbia, vol. 65(2), February.
    5. Li, Ming-Liang, 2003. "The algorithm for integrating all incidence matrices in multi-dimensional group technology," International Journal of Production Economics, Elsevier, vol. 86(2), pages 121-131, November.
    6. Feng, Yanling & Li, Guo & Sethi, Suresh P., 2018. "A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 269-283.
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