Vehicle Routing under Consideration of Driving and Working Hours : A Distributed Decision Making Perspective

by Christoph Manuel Meyer

In April 2007 new legal rules concerning the driving and working hours of truck drivers have become valid in all member countries of the European Union. In the study of Christoph Manuel Meyer the dispatchers’ problem of combined vehicle routing and break scheduling is modelled and solved using an efficient heuristic solution algorithm. Special attention is given to the distributed decision competences between dispatchers and drivers, which are usually encountered in practice. Finally, strategies for including the legal rules in the dispatching process are suggested, which can easily be implemented by freight forwarding companies in practice

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Year of publication:	2011
Authors:	Meyer, Christoph Manuel
Publisher:	Wiesbaden : Gabler Verlag / Springer Fachmedien Wiesbaden GmbH, Wiesbaden
Subject:	Straßengüterverkehr \| Road freight transport \| Arbeitszeit \| Working time \| Regulierung \| Regulation \| Tourenplanung \| Vehicle routing problem \| Scheduling-Verfahren \| Scheduling problem \| Logistikdienstleister \| Logistics provider \| EU-Staaten \| EU countries \| Lenkzeit \| Arbeitszeitplan \| Planungsmodell \| Mathematische Modellierung
Description of contents:	Table of Contents [d-nb.info] ; Description [swbplus.bsz-bw.de]

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Extent:	Online-Ressource (XVII, 152p. 14 illus, digital)
Series:	SpringerLink / Bücher
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references Foreword; Preface; Contents; List of Figures; List of Tables; Abbreviations; 1 Introduction; 1.1 Problem Description; 1.2 Related Literature; 1.3 Objectives and Structure of the Thesis; 2 European Legislation on Driving and Working Hours in Road Transportation; 2.1 Regulation (EC) No 561/2006 on Driving Hours; 2.1.1 Scope; 2.1.2 Definitions; 2.1.3 Restrictions on Driving Hours; 2.1.4 Documentation of Driving Times; 2.1.5 Comparison Between Current and Former European Legislation on Driving Hours; 2.2 Directive 2002/15/EC on Working Hours; 2.2.1 Scope; 2.2.2 Definitions 2.2.3 Restrictions on Working Hours2.2.4 Implementation into German Legislation; 2.3 Remarks on the General Structure of the European Social Legislation; 2.4 Control Policies; 3 Dispatchers' Tasks in Combined Vehicle Routing and Break Scheduling; 3.1 The Dispatching Process; 3.2 The Impact of the European Social Legislation on the Dispatching Process; 3.2.1 Effects on Vehicle Routing and Scheduling; 3.2.2 Examples of Effects; 3.3 Combined Vehicle Routing and Break Scheduling in Practice; 3.3.1 Methodology of the Study; 3.3.2 Interviews with Freight Forwarding Companies 3.3.3 Summary of the Findings4 Model for the Vehicle Routing Problem with Time Windows and European Social Legislation; 4.1 Model for the VRPTW-EU with Basic Rules; 4.1.1 Problem Definition; 4.1.2 Notation; 4.1.3 Model Formulation; 4.2 Model for the VRPTW-EU with Optional Rules; 4.2.1 Problem Definition; 4.2.2 Notation; 4.2.3 Model Formulation; 4.3 Computional Experiments; 4.3.1 Experimental Settings; 4.3.2 Computational Results for the VRPTW-EU; 4.3.3 Example of a Tour Plan; 5 Distributed Decision Making in Combined Vehicle Routing and Break Scheduling 5.1 The Distributed Decision Making Framework5.1.1 Classification of Distributed Decision Making Systems; 5.1.2 Coordination in Distributed Decision Systems; 5.2 The Problem of Combined Vehicle Routing and Break Scheduling as a Problem of Distributed Decision Making; 5.2.1 Distribution of Tasks between Planners and Drivers; 5.2.2 Anticipation of the Drivers' Planning; 5.3 Model Formulations; 5.3.1 Driver's Model; 5.3.2 Dispatcher's Model; 5.3.3 Anticipation Functions; 5.3.3.1 Perfect Explicit Anticipation; 5.3.3.2 Approximate Explicit Anticipation; 5.3.3.3 Implicit Anticipation 5.4 Computational Experiments for the Decentralized Approaches5.4.1 Experimental Settings and Solution Procedure; 5.4.2 Computational Results; 5.4.2.1 Perfect Explicit Anticipation; 5.4.2.2 Approximate Explicit Anticipation; 5.4.2.3 Implicit Anticipation; 5.4.3 Summary of the Findings; 6 Restricted Dynamic Programming Heuristic for the Problem of Combined Vehicle Routing and Break Scheduling; 6.1 Dynamic Programming Methods for Vehicle Routing Problems; 6.1.1 Dynamic Programming Algorithm for the Traveling Salesman Problem 6.1.2 Restricted Dynamic Programming Algorithm for the Traveling Salesman Problem
ISBN:	978-3-8349-6732-9 ; 978-3-8349-2942-6
Other identifiers:	10.1007/978-3-8349-6732-9 [DOI]
Classification:	Beschaffung, Materialwirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014015294