An Integrated Logistics Routing and Scheduling Network Model with RFID-GPS Data for Supply Chain Management

  • C. Y. LAMEmail author
  • W. H. IP


In this paper, an integrated supply chain management model that draws upon information from radio frequency identification (RFID) and global positioning systems (GPS) is presented. The model automates and optimizes the logistics tasks of grouping, routing, and scheduling. Optimization algorithms are proposed that minimize resource consumption and the traveling time for routes and schedules. Data from RFID readers and GPS units provide instant and dynamic information about the current processing and location status of the logistics jobs. The optimized routes and schedules are then dynamically updated and visualized so that centralized logistics planners can adjust as necessary. The proposed approach thereby combines both discrete and continuous information to assist logistics routings and scheduling to enhance supply chain management. The model can thus tackle the practical problem of variance in processing time, and to identify the segments of a route or schedule for which the processing time varies.


Supply chain management Logistics routing Scheduling RFID-GPS 



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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Graduate School of EngineeringHiroshima UniversityHiroshimaJapan
  2. 2.College of EngineeringUniversity of SaskatchewanSaskatoonCanada
  3. 3.Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung Hom, KowloonHong Kong

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