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UPS Applying Big Data Analytics to Logistics:

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영어
Managing big data has become increasingly important to businesses as big data analytics can transform big data into insightful information. But, not many companies utilize it efficiently and effectively. While many companies in the transportation industry are facing many challenges with big data, United Parcel Service (UPS) is successfully applying big data analytics to logistics. UPS’s proprietary routing software, called ORION (On-Road Integrated Optimization and Navigation), uses package-level detail and customized online map data to provide drivers with optimized routing information. In 2013, ORION resulted in reductions of more than 1.5 million gallons of fuel and 14,000 metric tons of CO2 emissions. This paper discusses UPS’s innovative path to optimization from data gathering to visualization.

목차

Abstract
 Introduction
 United Parcel Service: A Logistics Company Loves Analytics
 UPS Big Data Analytics Case
  Descriptive Analytics: What happened?
  Prescriptive Analytics: What is the best action?
 Conclusions
 References

저자

  • Sung-Hee “Sunny” Park [ School of Business, Dalton State College 650 College Drive, Dalton, GA 30720 U.S.A. ]
  • Do-Hong Kim [ School of Education, University of North Carolina at Charlotte 9201 University City Blvd, Charlotte, NC 28223 U.S.A. ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658