Pro-active dynamic vehicle routing : real-time control and request-forecasting approaches to improve customer service

Bibliographic Information

Pro-active dynamic vehicle routing : real-time control and request-forecasting approaches to improve customer service

Francesco Ferrucci

(Contributions to management science)

Physica, c2013

  • : pbk

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Note

Includes bibliographical references (p. 303-316) and index

Description and Table of Contents

Description

This book deals with transportation processes denoted as the Real-time Distribution of Perishable Goods (RDOPG). The book presents three contributions that are made to the field of transportation. First, a model considering the minimization of customer inconvenience is formulated. Second, a pro-active real-time control approach is proposed. Stochastic knowledge is generated from past request information by a new forecasting approach and is used in the pro-active approach to guide vehicles to request-likely areas before real requests arrive there. Various computational results are presented to show that in many cases the pro-active approach is able to achieve significantly improved results. Moreover, a measure for determining the structural quality of request data sets is also proposed. The third contribution of this book is a method that is presented for considering driver inconvenience aspects which arise from vehicle en-route diversion activities. Specifically, this method makes it possible to restrict the number of performed vehicle en-route diversion activities.

Table of Contents

Introduction.- Introduction to Tour Planning: Vehicle Routing and Related Problems.- The Considered RDOPG Applications.- Review of the Literature Related to the Considered RDOPG Applications.- A New Deterministic Real-Time Control Approach for RDOPG Applications.- A New Forecasting Approach for Generating Stochastic Knowledge.- The Proposed Tabu Search Solution Method. .- Computational Results.- Summary and Outlook on Future Work.- Appendix.- References.

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