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How Customer Adaptability Factors Affect Information Systems for Transportation: Vehicle Scheduling Models with Time Flexibility

  • Soonhui Lee (College of Business at Hankuk University of Foreign Studies)
  • Received : 2017.01.03
  • Accepted : 2017.02.27
  • Published : 2017.03.31

Abstract

The need for effective information systems that can help in efficient transportation management has become essential. This study presents the potential benefits of developing a decision support system used by a trucking company for routing and scheduling. Our study investigates how customer exibility factors affect the utilization of transportation resources and establishes a vehicle scheduling model for better allocation of transportation resources with a time window. The results show vehicle savings from 25% up to 70% per day given different levels of exibility in delivery times. Increased capacity utilization can be achieved by considering only customer exibility in the model. Our study implies that incorporating customer exibility into the information system can help transportation organizations have the capability to gain control over management to cut costs and improve service.

Keywords

Acknowledgement

This work was supported by Hankuk University of Foreign Studies Research Fund of 2016.

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