The Data Envelopment Analysis of Global Logistics provider

글로벌물류기업의 효율성 분석

  • Received : 2010.04.28
  • Accepted : 2010.06.01
  • Published : 2010.06.30

Abstract

The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

글로벌 물류기업은 효율성 분석을 통하여 경쟁력을 비교 할 수 있다. 글로벌 물류기업은 물류시설과 물류서비스를 체계적으로 활용하여 경영의 효율성을 높여야한다. 본 연구에서는 글로벌물류기업 상위 40개를 연구대상으로 효율성을 분석하였다. 글로벌물류기업에 대한 효율성 분석을 위한 산출요소로 연간 매출액을 사용하였다. 투입요소는 고용원수, 정보시스템 운용수, 창고운용수를 사용하였다. 효율적인 글로벌물류기업으로 CCR과 BCC 모형에서는 Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics이다. 초효율성 분석은 Panalpina, (2.352), Hub Group (1.654), Maersk Logistics/Damco(1.526), Transplace(1.401), C.H. Robinson Worldwide (1.358), UPS Supply Chain Solutions(0.947), J.B.HUNT(0.839), PHONEX INTERNATIONAL(0.783), Kuehne + Nagel(0.782), DB Schenker Logistics(0.769)순으로 보여주고 있다. 마지막으로 글로벌물류기업의 고용원수, 정보시스템 운영수, 창고보유수의 벤치마킹에 대한 프로젝트를 제시하고 있다.

Keywords

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