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New state-of-the-art approaches for controlling transportation processes in real-time and for generating stochastic knowledge solely from past request information
A new measure for automatically determining the applicability of pro-active real-time control approaches depending on a given request data set, and a new method for limiting en-route diversion activities
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.
Content Level »Research
Keywords »Customer Service - Dynamic Vehicle Routing - Perishable Goods - Request Data Quality - Request Forecasting - Stochastic Knowledge