Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport
被引:7
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作者:
Sung, Shin Woong
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Korea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South KoreaKorea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South Korea
Sung, Shin Woong
[1
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Jang, Young Jae
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Korea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South KoreaKorea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South Korea
Jang, Young Jae
[1
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Kim, Jung Hoon
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机构:
Kolon Ind Inc, Seoul 06168, South KoreaKorea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South Korea
Kim, Jung Hoon
[2
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Lee, Juyeong
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SK Telecom, Seoul 04539, South KoreaKorea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South Korea
Lee, Juyeong
[3
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机构:
[1] Korea Adv Inst Sci & Technol, Dept Ind & Syst Engn, Daejeon 34141, South Korea
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.