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Production Scheduling of Personalized Fashion Goods in a Mass Customization Environment

Author

Listed:
  • Jens K. Perret

    (International School of Management, Im MediaPark 5c, 50670 Cologne, Germany)

  • Katharina Schuck

    (IQS School of Management, Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain)

  • Carolin Hitzegrad

    (CBS International Business School, Hardefuststraße 1, 50677 Cologne, Germany)

Abstract

The COVID-19 pandemic has put fashion manufacturers’ needs for optimization in the spotlight. This study argues that mass customization is becoming increasingly instrumental for offering consumers individualized solutions and that suppliers of fashion have to look for more sophisticated solutions in order to face the increasing demand for more sustainable products. With the deduction of a mathematical model derived from production sequencing it became evident that sustainability can be associated with a level production schedule and that cost-based production optimization is useful in achieving holistic sustainability in the fashion industry. The flexibility in the conceived mathematical model specifications allows for a generalizable approach, not limited to a single branch of the fashion industry. This paper additionally delivers a cost-based optimization approach which fashion companies, operating in a mass customization production layout, can easily implement without extensive know-how. The proposed two-stage algorithm is based on the concept of level scheduling. In a first stage, the algorithm determines a feasible production sequence in a time-efficient way while, in the second stage, it further advances the efficiency of the solution. Thus, it offers a framework to optimize a production in a mass customization environment and can contribute to a company taking major steps towards a holistic sustainable orientation as available resources are used more (cost) efficiently.

Suggested Citation

  • Jens K. Perret & Katharina Schuck & Carolin Hitzegrad, 2022. "Production Scheduling of Personalized Fashion Goods in a Mass Customization Environment," Sustainability, MDPI, vol. 14(1), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:538-:d:717684
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    References listed on IDEAS

    as
    1. May McMaster & Charlie Nettleton & Christeen Tom & Belanda Xu & Cheng Cao & Ping Qiao, 2020. "Risk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak," JRFM, MDPI, vol. 13(8), pages 1-16, August.
    2. Ayd{i}n Alptekinou{g}lu & Charles J. Corbett, 2008. "Mass Customization vs. Mass Production: Variety and Price Competition," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 204-217, August.
    3. Ho-Ting Yeung & Tsan-Ming Choi & Chun-Hung Chiu, 2010. "Innovative Mass Customization in the Fashion Industry," International Handbooks on Information Systems, in: T. C. Edwin Cheng & Tsan-Ming Choi (ed.), Innovative Quick Response Programs in Logistics and Supply Chain Management, pages 423-454, Springer.
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    Cited by:

    1. Zhujun Wang & Xuyuan Tao & Xianyi Zeng & Yingmei Xing & Zhenzhen Xu & Pascal Bruniaux, 2023. "A Machine Learning-Enhanced 3D Reverse Design Approach to Personalized Garments in Pursuit of Sustainability," Sustainability, MDPI, vol. 15(7), pages 1-21, April.
    2. Amirhosein Gholami & Nasim Nezamoddini & Mohammad T. Khasawneh, 2023. "Customized orders management in connected make-to-order supply chains," Operations Management Research, Springer, vol. 16(3), pages 1428-1443, September.

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