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A Model of Disruption Management for Solving Delivery Delay

  • Qiulei Ding
  • Xiangpei Hu
  • Yunzeng Wang
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 4)

Abstract

When the delivery vehicle encounters disruptions in a distribution network, it is usually difficult to generate new plans dynamically to minimize the negative impact. A method measuring the system deviation caused by the disruptions is presented in this paper. First of all, the criterion to identify whether a deviation occurs is clarified. Secondly, based on the experience and knowledge of the decision-maker, the revising plans to cope with disruptions are summarized. Furthermore, by taking human behavior into consideration and adopting hierarchical cluster analysis to segment customers, the delivery delay is divided into multiple stages. Then a model of disruption management characteristic of multi-stage, multi-objective, and combining both qualitative and quantitative analysis is formed by constructing the submodel at each stage. Finally, the effectiveness of this method is validated by providing a real-world case study.

Keywords

Service Time Fast Food Delivery Vehicle Delivery Delay Disruption Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  • Qiulei Ding
    • 1
  • Xiangpei Hu
    • 1
  • Yunzeng Wang
    • 2
  1. 1.Institute of Systems EngineeringDalian University of TechnologyDalianChina
  2. 2.A. Gary Anderson Graduate School of ManagementUniversity of CaliforniaRiversideUSA

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