IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v291y2020i1d10.1007_s10479-018-3000-2.html
   My bibliography  Save this article

Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study

Author

Listed:
  • Ke Ma

    (ENSAIT
    University of Borås
    Soochow University)

  • Sébastien Thomassey

    (ENSAIT)

  • Xianyi Zeng

    (ENSAIT)

Abstract

Nowadays, the demand of small-series production and quick response become more and more important in textile supply chains. To meet the increasing trend of customization in garment production, forecast based supply chain model is not suitable any more. Demand-driven garment supply chain is developed and employed more and more. However, there are still many defects in current model for demand-driven supply chains, e.g. long lead time, low efficiency etc. Therefore, in this study we proposed a new collaborative model with central order processing system (COPS) to optimize current demand-driven garment supply chain and improve multiple supply chain performances. Common and important supply chain collaboration strategies, including resource sharing, information sharing, joint-decision making and profit sharing, were merged into this system. Discrete-event simulation technology was utilized to experiment and evaluate the new collaborative model under different conditions based on a real case in France. Multiple key performance indicators (KPIs) were examined for the whole supply chain and also for individual companies. Based on the simulation experiment results, we found that new proposed collaborative model gain improvements in all examined KPIs. New model with COPS performed better under high workload condition than under low workload condition. It can not only increase overall profit level of the whole supply chain but also individual profit level of each company.

Suggested Citation

  • Ke Ma & Sébastien Thomassey & Xianyi Zeng, 2020. "Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study," Annals of Operations Research, Springer, vol. 291(1), pages 627-656, August.
    • Handle: RePEc:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-018-3000-2
    DOI: 10.1007/s10479-018-3000-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-018-3000-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-018-3000-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andreas Brandt & Manfred Brandt, 1999. "On a Two-Queue Priority System with Impatience and its Application to a Call Center," Methodology and Computing in Applied Probability, Springer, vol. 1(2), pages 191-210, September.
    2. Abdelsalam, Hisham M. & Elassal, Magy M., 2014. "Joint economic lot sizing problem for a three—Layer supply chain with stochastic demand," International Journal of Production Economics, Elsevier, vol. 155(C), pages 272-283.
    3. Xiao, Tiaojun & Xu, Tiantian, 2013. "Coordinating price and service level decisions for a supply chain with deteriorating item under vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 145(2), pages 743-752.
    4. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao, 2016. "Multi-Methodological Research in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 379-389, March.
    5. Hideaki Takagi, 2016. "Waiting time in the M/M/ $$ m $$ m LCFS nonpreemptive priority queue with impatient customers," Annals of Operations Research, Springer, vol. 247(1), pages 257-289, December.
    6. Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
    7. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    8. Borga Deniz & Itir Karaesmen & Alan Scheller-Wolf, 2010. "Managing Perishables with Substitution: Inventory Issuance and Replenishment Heuristics," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 319-329, July.
    9. Vafa Arani, Hamed & Rabbani, Masoud & Rafiei, Hamed, 2016. "A revenue-sharing option contract toward coordination of supply chains," International Journal of Production Economics, Elsevier, vol. 178(C), pages 42-56.
    10. Hsueh, Che-Fu, 2014. "Improving corporate social responsibility in a supply chain through a new revenue sharing contract," International Journal of Production Economics, Elsevier, vol. 151(C), pages 214-222.
    11. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Resource Sharing Mechanism for Sustainable Production in the Garment Industry," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    12. Naesens, Kobe & Gelders, Ludo & Pintelon, Liliane, 2009. "A swift response framework for measuring the strategic fit for a horizontal collaborative initiative," International Journal of Production Economics, Elsevier, vol. 121(2), pages 550-561, October.
    13. Hlioui, Rached & Gharbi, Ali & Hajji, Adnène, 2017. "Joint supplier selection, production and replenishment of an unreliable manufacturing-oriented supply chain," International Journal of Production Economics, Elsevier, vol. 187(C), pages 53-67.
    14. Leng, Mingming & Parlar, Mahmut, 2009. "Lead-time reduction in a two-level supply chain: Non-cooperative equilibria vs. coordination with a profit-sharing contract," International Journal of Production Economics, Elsevier, vol. 118(2), pages 521-544, April.
    15. Tsan-Ming Choi & Kannan Govindan & Xiang Li & Yongjian Li, 2017. "Innovative supply chain optimization models with multiple uncertainty factors," Annals of Operations Research, Springer, vol. 257(1), pages 1-14, October.
    16. Heydari, Jafar, 2014. "Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 44-58.
    17. Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
    18. Xiaowei Zhu, 2017. "Outsourcing management under various demand Information Sharing scenarios," Annals of Operations Research, Springer, vol. 257(1), pages 449-467, October.
    19. Kao, Edward P. C. & Wilson, Sandra D., 1999. "Analysis of nonpreemptive priority queues with multiple servers and two priority classes," European Journal of Operational Research, Elsevier, vol. 118(1), pages 181-193, October.
    20. Mendes, Paulo & Leal, José Eugênio & Thomé, Antônio Márcio Tavares, 2016. "A maturity model for demand-driven supply chains in the consumer product goods industry," International Journal of Production Economics, Elsevier, vol. 179(C), pages 153-165.
    21. Hui-Ming Wee & Wan-Tsu Wang, 2013. "Supply chain coordination for short-life-cycle products with option contract and partial backorders," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 7(1), pages 78-99.
    22. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    23. Chaharsooghi, S. Kamal & Heydari, Jafar, 2010. "Supply chain coordination for the joint determination of order quantity and reorder point using credit option," European Journal of Operational Research, Elsevier, vol. 204(1), pages 86-95, July.
    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. David F. Muñoz & Héctor Gardida & Hugo Velázquez & Jorge D. Ayala, 2022. "Simulation models to support the preliminary electoral results program for the Mexican Electoral Institute," Annals of Operations Research, Springer, vol. 316(2), pages 1141-1156, 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. Nematollahi, Mohammadreza & Hosseini-Motlagh, Seyyed-Mahdi & Heydari, Jafar, 2017. "Coordination of social responsibility and order quantity in a two-echelon supply chain: A collaborative decision-making perspective," International Journal of Production Economics, Elsevier, vol. 184(C), pages 107-121.
    2. Heydari, Jafar, 2014. "Lead time variation control using reliable shipment equipment: An incentive scheme for supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 63(C), pages 44-58.
    3. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2021. "Suboptimal sliding manifold For nonlinear supply chain with time delay," Journal of Combinatorial Optimization, Springer, vol. 42(1), pages 151-173, July.
    4. Zhai, Yue & Hua, Guowei & Cheng, Meng & Cheng, T.C.E., 2023. "Production lead-time hedging and order allocation in an MTO supply chain," European Journal of Operational Research, Elsevier, vol. 311(3), pages 887-905.
    5. Peng Ma & Yeming Gong & Mingzhou Jin, 2019. "Quality efforts in medical supply chains considering patient benefits," Post-Print hal-02312386, HAL.
    6. Songtao Zhang & Yanting Hou & Siqi Zhang & Min Zhang, 2017. "Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times," Complexity, Hindawi, vol. 2017, pages 1-11, September.
    7. Hosseini-Motlagh, Seyyed-Mahdi & Govindan, Kannan & Nematollahi, Mohammadreza & Jokar, Abbas, 2019. "An adjustable bi-level wholesale price contract for coordinating a supply chain under scenario-based stochastic demand," International Journal of Production Economics, Elsevier, vol. 214(C), pages 175-195.
    8. Zhai, Yue & Choi, Tsan-Ming & Shao, Saijun & Xu, Su Xiu & Huang, George Q., 2020. "Spatial-temporal hedging coordination in prefabricated housing production," International Journal of Production Economics, Elsevier, vol. 229(C).
    9. Ma, Peng & Gong, Yeming & Jin, Mingzhou, 2019. "Quality efforts in medical supply chains considering patient benefits," European Journal of Operational Research, Elsevier, vol. 279(3), pages 795-807.
    10. Bandaly, Dia & Satir, Ahmet & Shanker, Latha, 2016. "Impact of lead time variability in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 180(C), pages 88-100.
    11. Zhai, Yue & Cheng, T.C.E., 2022. "Lead-time quotation and hedging coordination in make-to-order supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 449-460.
    12. Jian, Ming & Fang, Xin & Jin, Liu-qian & Rajapov, Azamat, 2015. "The impact of lead time compression on demand forecasting risk and production cost: A newsvendor model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 61-72.
    13. Yue Zhai & Ray Y. Zhong & Zhi Li & George Huang, 2017. "Production lead-time hedging and coordination in prefabricated construction supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 3984-4002, July.
    14. Ma, Xueli & Wang, Jian & Bai, Qingguo & Wang, Shuyun, 2020. "Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0," International Journal of Production Economics, Elsevier, vol. 220(C).
    15. Jairo R. Montoya-Torres & Diego A. Ortiz-Vargas, 2014. "Collaboration and information sharing in dyadic supply chains: A literature review over the period 2000–2012," Estudios Gerenciales, Universidad Icesi, November.
    16. Xiao, Tiaojun & Choi, Tsan-Ming & Cheng, T.C.E., 2016. "Delivery leadtime and channel structure decisions for make-to-order duopoly under different game scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 113-129.
    17. Guihua Wang & Quan Guo & Qiong Jiang & Butong Li, 2022. "A Study on the Relationship between Corporate Social Responsibility and Supply Chain Profit Distribution in the Context of Common Prosperity," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    18. Li Cui & Siwei Guo & Hao Zhang, 2020. "Coordinating a Green Agri-Food Supply Chain with Revenue-Sharing Contracts Considering Retailers’ Green Marketing Efforts," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    19. Yang, Huixiao & Luo, Jianwen & Wang, Haijun, 2017. "The role of revenue sharing and first-mover advantage in emission abatement with carbon tax and consumer environmental awareness," International Journal of Production Economics, Elsevier, vol. 193(C), pages 691-702.
    20. Slotnick, Susan A. & Sobel, Matthew J., 2022. "Collaboration with a supplier to induce fair labor practices," European Journal of Operational Research, Elsevier, vol. 302(1), pages 244-258.

    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:spr:annopr:v:291:y:2020:i:1:d:10.1007_s10479-018-3000-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.