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Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport

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  • Shin Woong Sung

    (Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea)

  • Young Jae Jang

    (Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea)

  • Jung Hoon Kim

    (Kolon Industries Inc, Seoul 06168, South Korea)

  • Juyeong Lee

    (SK Telecom, Seoul 04539, South Korea)

Abstract

Kolon Sport (K/S), a leading outdoor fashion brand in South Korea, must deal with a large variety of items during each selling season. In doing so, the company has encountered a challenging operational problem—the assort-packing and distribution problem. The problem involves making decisions on the optimal method to use in packing a set of different items in a box and allocating the boxes to stores to meet the stores’ demands. In this paper, we introduce an analytics project initiated to improve the assort-packing and distribution process, and we describe the formulation and solution approach we developed to solve this industrial problem in a timely manner. We validated the proposed approach by computational and onsite pilot testing, which demonstrated that the decisions made using this approach are superior to those made with the manual method K/S used previously. Inventory is distributed to all stores in a more balanced way by considering the demands of the stores. K/S, which implemented the proposed approach into its internal system in July 2015, estimates that the new system improves sales by approximately eight percent.

Suggested Citation

  • Shin Woong Sung & Young Jae Jang & Jung Hoon Kim & Juyeong Lee, 2017. "Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport," Interfaces, INFORMS, vol. 47(6), pages 555-573, December.
    • Handle: RePEc:inm:orinte:v:47:y:2017:i:6:p:555-573
    DOI: 10.1287/inte.2017.0904
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    References listed on IDEAS

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    1. Wascher, Gerhard & Hau[ss]ner, Heike & Schumann, Holger, 2007. "An improved typology of cutting and packing problems," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1109-1130, December.
    2. Marshall Fisher & Ramnath Vaidyanathan, 2014. "A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations," Management Science, INFORMS, vol. 60(10), pages 2401-2415, October.
    3. Michael J. Lawrence, 1977. "Practice of Management Science---An Integrated Inventory Control System," Interfaces, INFORMS, vol. 7(2), pages 55-62, February.
    4. Baita, Flavio & Ukovich, Walter & Pesenti, Raffaele & Favaretto, Daniela, 1998. "Dynamic routing-and-inventory problems: a review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(8), pages 585-598, November.
    5. Dyckhoff, Harald, 1990. "A typology of cutting and packing problems," European Journal of Operational Research, Elsevier, vol. 44(2), pages 145-159, January.
    6. Felipe Caro & Jérémie Gallien & Miguel Díaz & Javier García & José Manuel Corredoira & Marcos Montes & José Antonio Ramos & Juan Correa, 2010. "Zara Uses Operations Research to Reengineer Its Global Distribution Process," Interfaces, INFORMS, vol. 40(1), pages 71-84, February.
    7. Lodi, Andrea & Martello, Silvano & Monaci, Michele, 2002. "Two-dimensional packing problems: A survey," European Journal of Operational Research, Elsevier, vol. 141(2), pages 241-252, September.
    8. Felipe Caro & Jérémie Gallien, 2010. "Inventory Management of a Fast-Fashion Retail Network," Operations Research, INFORMS, vol. 58(2), pages 257-273, April.
    9. Marielle Christiansen, 1999. "Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem," Transportation Science, INFORMS, vol. 33(1), pages 3-16, February.
    10. Chandra, Pankaj & Fisher, Marshall L., 1994. "Coordination of production and distribution planning," European Journal of Operational Research, Elsevier, vol. 72(3), pages 503-517, February.
    11. Awi Federgruen & Paul Zipkin, 1984. "A Combined Vehicle Routing and Inventory Allocation Problem," Operations Research, INFORMS, vol. 32(5), pages 1019-1037, October.
    12. Edward A. Silver, 1981. "Operations Research in Inventory Management: A Review and Critique," Operations Research, INFORMS, vol. 29(4), pages 628-645, August.
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    3. Jiayun Wang & Shanshan Wu & Qingwei Jin & Yijun Wang & Can Chen, 2024. "Identifying Popular Products at an Early Stage of Sales Season for Apparel Industry," Interfaces, INFORMS, vol. 54(3), pages 282-296, May.

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