Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Improving the Utilization and Efficiency of B2B Online Store using DEA

DEA를 이용한 B2B 온라인 쇼핑몰 상품관리 효율성 증대 방안

  • Gu, Seung-Hwan (Department of Industrial & Information Systems Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Park, Hyun-Ki (Department of Industrial & Information Systems Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Jang, Seong Yong (Department of Industrial & Information Systems Engineering, Seoul National University of Science and Technology)
  • 구승환 (서울과학기술대학교 IT정책전문대학원) ;
  • 박현기 (서울과학기술대학교 IT정책전문대학원) ;
  • 장성용 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2014.03.06
  • Accepted : 2014.07.10
  • Published : 2014.07.31
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Abstract

In this study, products in a B2B online shopping mall were classified efficiently using DEA, and an operational process is presented. The results using the data of M company were used to calculate the workload according to the category. The work load of managing the product using the DEA has been distributed evenly. In addition, the classification of A is composed of the highest net income, and it was intended to be managed centrally by the company. Business classifications C and B, which were made of a low severity workload, were reduced. Therefore, efficient operation is possible when applied to an actual business.

본 연구는 DEA 모형을 이용하여 B2B 온라인 쇼핑몰의 상품을 효율적으로 분류하고 운영하는 방법을 제시하였다. 이를 위해 실제 M사의 자료를 활용하여 분석을 수행하였으며, 카테고리를 분류하여 업무부하량을 산정하였다. 연구결과, DEA를 활용하여 상품을 분리해 관리할 경우 기존에 비해 업무 부하량이 평준화되는 것을 알 수 있었다. 또한 A분류에는 순이익이 가장 높은 카테고리들로 구성되어 있어 회사에서 주력으로 관리해야할 분류임을 알 수 있었다. B와 C분류의 업무는 상대적으로 중요도가 낮은 것으로 구성되어 있으며, 기존보다 업무 부하량도 줄어든 것을 알 수 있었다. 따라서 본 연구결과를 실제 업무에 반영한다면 효율적인 운영이 가능 할 것으로 사료된다.

Keywords

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