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.aReal-Time Control and Request-Forecasting Approaches to Improve Customer Service Francesco Ferrucci ... First computational results using the MSA-LC approach are performed on historical sample sizes of 10 and 1, 000 samples utilizing the consensus and regret ranking ... In the Mastera#39;s thesis of Markus ( 2009), the author bases his research on the described findings of Bent and Van Hentenryck.
|Title||:||Pro-active Dynamic Vehicle Routing|
|Publisher||:||Springer Science & Business Media - 2013-03-14|