Pro-active Dynamic Vehicle Routing: Real-Time Control and Request-Forecasting Approaches to Improve Customer Service 2013th Edition

Pro-active Dynamic Vehicle Routing: Real-Time Control and Request-Forecasting Approaches to Improve Customer Service 2013th Edition book cover

Pro-active Dynamic Vehicle Routing: Real-Time Control and Request-Forecasting Approaches to Improve Customer Service 2013th Edition

Author(s): Francesco Ferrucci (Author)

  • Publisher: Physica
  • Publication Date: 16 Mar. 2013
  • Edition: 2013th
  • Language: English
  • Print length: 371 pages
  • ISBN-10: 3642334717
  • ISBN-13: 9783642334719

Book 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.​

Editorial Reviews

From the Back Cover

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.​

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