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RETRACTED ARTICLE: Supply chain optimization based on chain management and mass customization

Author

Listed:
  • Maozhu Jin

    (Sichuan University)

  • Hua Wang

    (Sichuan University)

  • Qian Zhang

    (Chengdu Agricultural College)

  • Yucheng Zeng

    (Sichuan University)

Abstract

In this paper, the synchronous supply chain management information system for mass customization in e-commerce is studied. The principle of chain management and the mechanism of mass customization in e-commerce are discussed. It is pointed out that chain management aims at chain value. Secondly, the paper explains the mechanism of chain management, and points out that chain management improves the value of chain by establishing modular operation units, identifying and managing bottlenecks, identifying and eliminating waste under the action of collaborative planning and control. This paper discusses chain management from the strategic point of view, and draws a conclusion that the mass customization operation management system based on chain management has the characteristics of sustainable competitive advantage. Finally, the process description system of implementing chain management is given, and the dynamic collaborative scheduling optimization of MC e-commerce in supply chain environment is also given. The practical case analysis shows that the method designed in this paper has a good practical effect.

Suggested Citation

  • Maozhu Jin & Hua Wang & Qian Zhang & Yucheng Zeng, 2020. "RETRACTED ARTICLE: Supply chain optimization based on chain management and mass customization," Information Systems and e-Business Management, Springer, vol. 18(4), pages 647-664, December.
  • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-0389-8
    DOI: 10.1007/s10257-018-0389-8
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    References listed on IDEAS

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    1. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
    2. Niksa Alfirevic & Darko Rendulic & Anita Talaja, 2015. "Application of a Cloud-Based Supply Chain Management System to Achieve Mass Customization: Best Practices from the Automotive Industry," Palgrave Macmillan Books, in: Fawzy Soliman (ed.), Cloud Systems in Supply Chains, chapter 2, pages 36-48, Palgrave Macmillan.
    3. Iman Kazemian & Samin Aref, 2016. "Multi-echelon Supply Chain Flexibility Enhancement Through Detecting Bottlenecks," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(4), pages 357-372, December.
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    Cited by:

    1. Mohammed Alkahtani, 2022. "Supply Chain Management Optimization and Prediction Model Based on Projected Stochastic Gradient," Sustainability, MDPI, vol. 14(6), pages 1-14, March.

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