Bertazzi / Speranza / Nunen Innovations in Distribution Logistics

1. Auflage 2009
ISBN: 978-3-540-92944-4
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 619, 282 Seiten

Reihe: Lecture Notes in Economics and Mathematical Systems

In a globalized economy logistics has become a crucial area for the success of companies. The performance of each company depends on the performance of its suppliers and of its business partners. The customers of each company are spread on a large geographical space. For this reason distribution logistics is the most important and complex part of logistics. An efficient and effective management of distribution logistics is a key issue for the success of a company. There are many different problems to deal with, from facility location to transportation, to inventory management, and, most important, to the integration and optimization of the entire logistics network. Quantitative methods provide relevant tools to support decisions, from strategic to operational, in distribution logistics.

Autoren/Hrsg.

Bertazzi., Luca

Bertazzi, Luca

Speranza, M. Grazia

Nunen, Jo van

Inhaltsverzeichnis

1;Preface;5
2;Contents;6
3;List of Contributors;8
4;Management Policies in a Dynamic Multi-Period Routing Problem;10
4.1;1 Introduction;10
4.2;2 The Dynamic Multi-Period Problem;12
4.3;3 Comparison of Alternative Management Policies;14
4.4;4 Computational Results;16
4.5;Conclusions;22
4.6;References;23
5;Optimizing the Storage Area Dimension in a Production System;25
5.1;1 Introduction;25
5.2;2 Problem Description and Formulation;26
5.3;3 Determining the Optimal Stock Dimension;29
5.4;4 Computational Results;31
5.5;Conclusions;35
5.6;Acknowledgements;35
5.7;References;35
6;On-line Routing per Mobile Phone: A Case on Subsequent Deliveries of Newspapers;37
6.1;1 Introduction;37
6.2;2 A Practical Case: Subsequent Deliveries of Newspapers;38
6.3;3 Mobile Business and Mobile Communication Solutions;40
6.4;4 AWeb/WAP Based Mobile Communication System;43
6.5;5 Decision Problems to be Addressed;48
6.6;6 Overview of Some Methods for On-Line Routing;52
6.7;7 Further Application Areas;55
6.8;8 Summary and Outlook;57
6.9;References;57
7;Service Design Models for Rail Intermodal Transportation;60
7.1;1 Introduction;60
7.2;2 Intermodal and Rail-Based Transportation;62
7.3;3 New Rail Intermodal Services;63
7.4;4 Impact on Planning Models;66
7.5;5 Conclusions;71
7.6;Acknowledgments;72
7.7;References;72
8;C.A.s.S.a.n.D.r.A.: Computerized AnalysiS for Supply ChAiN DistRibution Activity;75
8.1;1 Introduction;75
8.2;2 Analysis of SCM Activity;76
8.3;3 Dynamic System Models;80
8.4;4 Specification of the Statistical Properties;84
8.5;5 Computational Results;86
8.6;6 Conclusions;92
8.7;References;93
9;Ship Routing and Scheduling with Persistence and Distance Objectives;95
9.1;1 Introduction;95
9.2;2 Mathematical Formulation;98
9.3;3 Persistence Penalty Function;100
9.4;4 DistanceMeasure;101
9.5;5 Solution Method;101
9.6;6 Computational Study;102
9.7;7 Summary and Concluding Remarks;111
9.8;8 Acknowledgment;112
9.9;References;112
10;Logistics in Real-Time: Inventory-Routing Operations Under Stochastic Demand;114
10.1;1 Introduction;114
10.2;2 Problem Definition;117
10.3;3 Proposed Real-Time Strategies for the OIRP;119
10.4;4 Simulation Experiments and Results;130
10.5;5 Conclusion;137
10.6;Acknowledgments;139
10.7;References;139
10.8;Appendix;142
11;On Optimizing Production Nodes in Supply Chain Systems;154
11.1;1 Introduction;155
11.2;2 The Optimization Problem for a Single Node in a Supply Chain;157
11.3;3 Solution of Problem 2;161
11.4;4 Solution of Problem 3;167
11.5;5 The Multi-Site Case;175
11.6;6 Conclusions;178
11.7;References;178
12;Approximate Optimal Order Batch Sizes in a Parallel-aisle Warehouse;180
12.1;1 Introduction;180
12.2;2 Optimal Order Batch Sizes for Model-1;183
12.3;3 Optimal Order Batch Sizes for Model-2;190
12.4;4 Optimal Order Batch Sizes for the Total System;194
12.5;5 Concluding Remarks;197
12.6;References;198
13;Supply Chain Optimization for the Liquefied Natural Gas Business;200
13.1;1 Introduction;200
13.2;2 Description of a Real LNG Supply Chain Planning Problem;202
13.3;3 Arc-Flow Formulation;206
13.4;4 Path-Flow Formulation;213
13.5;5 Computational Results;217
13.6;6 Concluding Remarks;220
13.7;Acknowledgments;222
13.8;References;222
14;Modeling The Pre-Auction Stage: The Truckload Case;224
14.1;1 Introduction;224
14.2;2 The Outline of an Auction Process;226
14.3;3 Modeling the Shipper’s Lane Selection Problem: The Truckload Case;229
14.4;4 Experimental Analysis;234
14.5;5 Conclusions and Future Research;236
14.6;References;236
15;Applications of the Double Standard Model for Ambulance Location;239
15.1;1 Introduction;239
15.2;2 Advanced Ambulance Location Models;241
15.3;3 Applications of the Double Standard Model;244
15.4;4 Conclusions;250
15.5;Acknowledgments;250
15.6;References;250
16;A Pricing Algorithm for the Vehicle Routing Problem with Soft Time Windows;254
16.1;1 Introduction;254
16.2;2 Problem Formulation;255
16.3;3 The Algorithm;257
16.4;4 Experimental Results;265
16.5;5 Conclusions;267
16.6;Acknowledgments;267
16.7;References;268
17;Effective Algorithms for a Bounded Version of the Uncapacitated TPP;270
17.1;1 Introduction;270
17.2;2 Problem Formulation;272
17.3;3 Solution Algorithms;274
17.4;4 Computational Results;278
17.5;5 Conclusions;283
17.6;References;284