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Pro-active Dynamic Vehicle Routing [electronic resource] : Real-Time Control and Request-Forecasting Approaches to Improve Customer Service / by Francesco Ferrucci.

By: Ferrucci, Francesco [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Contributions to Management Science: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Physica, 2013Description: LII, 319 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642334726.Subject(s): Business | Production management | Operations research | Decision making | Sales management | Computer simulation | Business and Management | Operation Research/Decision Theory | Operations Management | Sales/Distribution | Simulation and ModelingAdditional physical formats: Printed edition:: No titleDDC classification: 658.40301 Online resources: Click here to access online
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.                            .
In: Springer eBooksSummary: 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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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.                            .

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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