IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i1p538-d717684.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/538/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/1/538/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fang, Da & Guo, Yan, 2022. "Flow of goods to the shock of COVID-19 and toll-free highway policy: Evidence from logistics data in China," Research in Transportation Economics, Elsevier, vol. 93(C).
    2. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    3. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    4. Beata Milewska & Dariusz Milewski, 2022. "Implications of Increasing Fuel Costs for Supply Chain Strategy," Energies, MDPI, vol. 15(19), pages 1-14, September.
    5. Larissa Batrancea, 2021. "The Nexus between Financial Performance and Equilibrium: Empirical Evidence on Publicly Traded Companies from the Global Financial Crisis Up to the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    6. Li Chen & Yao Cui & Hau L. Lee, 2021. "Retailing with 3D Printing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1986-2007, July.
    7. Guo, Shu & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Self-design fun: Should 3D printing be employed in mass customization operations?," European Journal of Operational Research, Elsevier, vol. 299(3), pages 883-897.
    8. El-Awady Attia & Ali Alarjani & Md. Sharif Uddin & Ahmed Farouk Kineber, 2023. "Determining the Stationary Enablers of Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    9. Shanshan Guo & H. Sebastian Heese, 2017. "Product variety and distribution channel structure," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3392-3410, June.
    10. Chih-Hung Hsu & An-Yuan Chang & Ting-Yi Zhang & Wei-Da Lin & Wan-Ling Liu, 2021. "Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains," Sustainability, MDPI, vol. 13(5), pages 1-24, March.
    11. Dhiordan Cunha Tadaiesky & Joaquim Lima das Neves Neto & André Cristiano Silva Melo & Rosley Anholon & Eliane de Castro Coutinho & Vitor William Batista Martins, 2022. "Challenges to Promoting Resilience in Supply Chains Observed during the COVID-19 Pandemic: An Exploratory Study of the Amazon Region Using the TOPSIS Technique," Logistics, MDPI, vol. 6(4), pages 1-13, November.
    12. Dorothée Honhon & Vishal Gaur & Sridhar Seshadri, 2010. "Assortment Planning and Inventory Decisions Under Stockout-Based Substitution," Operations Research, INFORMS, vol. 58(5), pages 1364-1379, October.
    13. Stylianos Kavadias & Karl T. Ulrich, 2020. "Innovation and New Product Development: Reflections and Insights from the Research Published in the First 20 Years of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 84-92, January.
    14. Gökçe Esenduran & Paolo Letizia & Anton Ovchinnikov, 2022. "Customization and Returns," Management Science, INFORMS, vol. 68(6), pages 4517-4526, June.
    15. Shao, Xiao-Feng, 2020. "What is the right production strategy for horizontally differentiated product: Standardization or mass customization?," International Journal of Production Economics, Elsevier, vol. 223(C).
    16. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    17. Nagarajan Sethuraman & Ali K. Parlaktürk & Jayashankar M. Swaminathan, 2023. "Personal fabrication as an operational strategy: Value of delegating production to customer using 3D printing," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2362-2375, July.
    18. Hengbin Yin & Muhammad Mohsin & Luyao Zhang & Chong Qian & Yan Cai, 2022. "Accessing the Impact of FDI Goals on Risk Management Strategy and Management Performance in the Digital Era: A Case Study of SMEs in China," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    19. Tingliang Huang & Chao Liang & Jingqi Wang, 2018. "The Value of “Bespoke”: Demand Learning, Preference Learning, and Customer Behavior," Management Science, INFORMS, vol. 64(7), pages 3129-3145, July.
    20. Fox, Stephen, 2017. "Mass imagineering: Combining human imagination and automated engineering from early education to digital afterlife," Technology in Society, Elsevier, vol. 51(C), pages 163-171.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:1:p:538-:d:717684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.