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.
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Ding, Q., Hu, X., Wang, Y. (2010). A Model of Disruption Management for Solving Delivery Delay. In: Phillips-Wren, G., Jain, L.C., Nakamatsu, K., Howlett, R.J. (eds) Advances in Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14616-9_22
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DOI: https://doi.org/10.1007/978-3-642-14616-9_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14615-2
Online ISBN: 978-3-642-14616-9
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