Introduction to Logistics Systems Management (eBook)

Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno (Autoren)

eBook Download: PDF

2013 | 2. Auflage
John Wiley & Sons (Verlag)
978-1-118-49220-8 (ISBN)

Infos

Introduction to Logistics Systems Management is the fully revised and enhanced version of the 2004 prize-winning textbook Introduction to Logistics Systems Planning and Control, used in universities around the world.

This textbook offers an introduction to the methodological aspects of logistics systems management and is based on the rich experience of the authors in teaching, research and industrial consulting.

This new edition puts more emphasis on the organizational context in which logistics systems operate and also covers several new models and techniques that have been developed over the past decade.

Each topic is illustrated by a numerical example so that the reader can check his or her understanding of each concept before moving on to the next one. At the end of each chapter, case studies taken from the scientific literature are presented to illustrate the use of quantitative methods for solving complex logistics decision problems. An exhaustive set of exercises is also featured at the end of each chapter.

The book targets an academic as well as a practitioner audience, and is appropriate for advanced undergraduate and graduate courses in logistics and supply chain management, and should also serve as a methodological reference for practitioners in consulting as well as in industry.

Gianpaolo Ghiani, Università del Salento, Italy

Gilbert Laporte, Canada Research Chair in Distribution Management, Canada

Roberto Musmanno, Università della Calabria, Italy

Inhalt

Cover 1
Title Page 5
Copyright 6
Contents 9
Foreword by Marc Goetschalckx 13
Preface 15
Acknowledgements 17
About the Authors 19
List of Abbreviations 21
Chapter 1 Introducing logistics 25
1.1 Definition of logistics 25
1.2 Logistics systems 25
1.2.1 Logistics activities 29
1.2.2 Information flows and logistics networks 29
1.2.3 Case of more products 31
1.3 Reverse logistics 33
1.4 Integrated logistics 34
1.5 Objectives of logistics 36
1.5.1 Measures of the service level 38
1.6 Management of the logistics system 42
1.6.1 Planning phase 42
1.6.2 Organizational phase 43
1.6.3 Control phase 52
1.7 Case study: The Pfizer logistics system 57
1.8 Questions and problems 60
Chapter 2 Forecasting logistics requirements 68
2.1 Introduction 68
2.2 Qualitative methods 70
2.3 Quantitative methods 72
2.3.1 Graphical representation of time series 72
2.3.2 Classification of time series 72
2.4 Data preprocessing 75
2.4.1 Insertion of missing data 76
2.4.2 Detection of outliers 76
2.4.3 Data aggregation 77
2.4.4 Removing the calendar variations 79
2.4.5 Deflating monetary time series 80
2.4.6 Adjusting for population variations 81
2.4.7 Normalizing the data 82
2.5 Choice of the forecasting method 83
2.5.1 Notation 83
2.5.2 Casual versus extrapolation methods 83
2.5.3 Decomposition method 84
2.5.4 Further time series extrapolation methods: The constant trend case 95
2.5.5 Further time series extrapolation methods: The linear trend case 99
2.5.6 Further time series extrapolation methods: The seasonal effect case 104
2.5.7 Further time series extrapolation methods: The irregular series case 112
2.5.8 Sporadic time series 115
2.6 Advanced forecasting method 121
2.7 Accuracy measure and forecasting monitoring 122
2.7.1 Accuracy measures 123
2.7.2 Tuning of the forecasting methods 124
2.7.3 Forecast control 126
2.8 Interval forecasts 130
2.9 Case study: Forecasting methods at Adriatica Accumulatori 133
2.10 Case study: Sales forecasting at Orlea 134
2.11 Questions and problems 136
Chapter 3 Locating facilities in logistics systems 146
3.1 Introduction 146
3.2 Qualitative methods 150
3.3 Quantitative methods 151
3.3.1 Single-commodity single-echelon continuous location problems 152
3.3.2 Single-commodity single-echelon discrete location problems 156
3.3.3 Single-commodity two-echelon discrete location problems 179
3.3.4 The multi-commodity case 183
3.3.5 Location-covering problems 187
3.3.6 p-centre problems 192
3.4 Hybrid methods 198
3.5 Stochastic location models 199
3.6 Case study: Container warehouse location at Hardcastle 203
3.7 Case study: The organ transplantation location-allocation policy of the Italian National Transplant Centre 207
3.8 Questions and problems 209
Chapter 4 Selecting the suppliers 217
4.1 Introduction 217
4.2 Definition of the set of potential suppliers 218
4.3 Definition of the selection criteria 218
4.4 Supplier selection 222
4.5 Case study: The system for the selection of suppliers at Baxter 226
4.6 Questions and problems 229
Chapter 5 Managing a warehouse 234
5.1 Introduction 234
5.1.1 Performance parameters 237
5.1.2 Decision-making problems 240
5.2 Warehouse design 240
5.2.1 Choice of warehouse systems 241
5.2.2 Choice of warehouse layout 254
5.2.3 Sizing of the storage zone 258
5.2.4 Sizing of the receiving zone 264
5.2.5 Sizing of the shipping zone 265
5.3 Tactical decisions for warehouse logistics planning 266
5.3.1 Product allocation to the storage points 266
5.3.2 Inventory management 273
5.4 Operational decisions for warehouse logistics management 300
5.4.1 Package picking from the storage zone 300
5.4.2 Package consolidation in load units 309
5.5 Case study: Performance evaluation of an AS/RS system conducted by Wert Consulting 327
5.6 Case study: Inventory management at Wolferine 329
5.7 Case study: Airplane loading at FedEx 330
5.8 Questions and problems 333
Chapter 6 Managing freight transport 342
6.1 Introduction 342
6.1.1 Modes of transport 342
6.1.2 Classification of transport problems 347
6.2 Freight Traffic Assignment Problems (TAPs) 350
6.2.1 Minimum-cost flow formulation 351
6.2.2 Linear single-commodity minimum-cost flow problems 352
6.2.3 Linear multi-commodity minimum-cost flow problems 360
6.3 Service network design problems 366
6.3.1 The linear fixed-charge network design model 368
6.4 Vehicle allocation problems 374
6.5 A dynamic driver assignment problem 376
6.6 Fleet composition 378
6.7 Shipment consolidation 380
6.8 Vehicle routing problems 383
6.8.1 The travelling salesman problem 386
6.8.2 The Node Routing Problem with Capacity and Length Constraints 402
6.8.3 The Node Routing and Scheduling Problem with Time Windows 415
6.8.4 Arc-routing problems 422
6.8.5 Route sequencing 433
6.9 Real-time vehicle-routing problems 434
6.10 Integrated location and routing problems 436
6.11 Vendor-managed inventory routing 438
6.12 Case study: Air network design at Intexpress 446
6.13 Case study: Meter reader routing and scheduling at Socal 451
6.14 Case study: Dynamic vehicle-dispatching problem with pickups and deliveries at eCourier 454
6.15 Questions and problems 456
Index 467

Produkt-Details

• Erscheint lt. Verlag: 15.1.2013
• Reihe/Serie: Wiley Essentials in Operations Research
• Reihe/Serie: Wiley Series in Operations Research and Management Science
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik ► Maschinenbau
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: Betriebswirtschaft u. Operationsforschung • Business & Management • Industrial Engineering • Industrial Engineering / Manufacturing • Industrielle Verfahrenstechnik • Logistics, management, logistic decisions, optimization, modeling, forecasting, data processing, time series, networks • Logistik (Wirtsch.) • Management Science/Operational Research • Produktion i. d. Industriellen Verfahrenstechnik • Qualität, Produktivität u. Zuverlässigkeit • Qualität, Produktivität u. Zuverlässigkeit • Quality, Productivity & Reliability • Statistics • Statistik • Wirtschaft u. Management
• ISBN-10: 1-118-49220-X / 111849220X
• ISBN-13: 978-1-118-49220-8 / 9781118492208