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.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Maße
Höhe: 22.9 cm
Breite: 15.2 cm
Dicke: 2.6 cm
Gewicht
ISBN-13
978-1-119-94338-9 (9781119943389)
Schweitzer Klassifikation
Gianpaolo Ghiani, Universita del Salento, Italy
Gilbert Laporte, Canada Research Chair in Distribution Management, Canada
Roberto Musmanno, Universita della Calabria, Italy
Autor*in
Univ. of Lecce, Italy
HEC Montréal, Canada
Univ. of Calabria, Italy
Foreword by Marc Goetschalckx xi
Preface xiii
Acknowledgements xv
About the Authors xvii
List of Abbreviations xix
1 Introducing logistics 1
1.1 Definition of logistics 1
1.2 Logistics systems 1
1.2.1 Logistics activities 5
1.2.2 Information flows and logistics networks 5
1.2.3 Case of more products 7
1.3 Reverse logistics 9
1.4 Integrated logistics 10
1.5 Objectives of logistics 12
1.5.1 Measures of the service level 14
1.6 Management of the logistics system 18
1.6.1 Planning phase 18
1.6.2 Organizational phase 19
1.6.3 Control phase 28
1.7 Case study: The Pfizer logistics system 33
1.8 Questions and problems 36
2 Forecasting logistics requirements 44
2.1 Introduction 44
2.2 Qualitative methods 46
2.3 Quantitative methods 48
2.3.1 Graphical representation of time series 48
2.3.2 Classification of time series 48
2.4 Data preprocessing 51
2.4.1 Insertion of missing data 52
2.4.2 Detection of outliers 52
2.4.3 Data aggregation 53
2.4.4 Removing the calendar variations 55
2.4.5 Deflating monetary time series 56
2.4.6 Adjusting for population variations 57
2.4.7 Normalizing the data 58
2.5 Choice of the forecasting method 59
2.5.1 Notation 59
2.5.2 Casual versus extrapolation methods 59
2.5.3 Decomposition method 60
2.5.4 Further time series extrapolation methods: The constant trend case 71
2.5.5 Further time series extrapolation methods: The linear trend case 75
2.5.6 Further time series extrapolation methods: The seasonal effect case 80
2.5.7 Further time series extrapolation methods: The irregular series case 88
2.5.8 Sporadic time series 91
2.6 Advanced forecasting method 97
2.7 Accuracy measure and forecasting monitoring 98
2.7.1 Accuracy measures 99
2.7.2 Tuning of the forecasting methods 100
2.7.3 Forecast control 102
2.8 Interval forecasts 106
2.9 Case study: Forecasting methods at Adriatica Accumulatori 109
2.10 Case study: Sales forecasting at Orlea 110
2.11 Questions and problems 112
3 Locating facilities in logistics systems 122
3.1 Introduction 122
3.2 Qualitative methods 126
3.3 Quantitative methods 127
3.3.1 Single-commodity single-echelon continuous location problems 128
3.3.2 Single-commodity single-echelon discrete location problems 132
3.3.3 Single-commodity two-echelon discrete location problems 155
3.3.4 The multicommodity case 159
3.3.5 Location-covering problems 163
3.3.6 p-centre problems 168
3.4 Hybrid methods 174
3.5 Stochastic location models 175
3.6 Case study: Container warehouse location at Hardcastle 179
3.7 Case study: The organ transplantation location-allocation policy of the Italian National Transplant Centre 183
3.8 Questions and problems 185
4 Selecting the suppliers 193
4.1 Introduction 193
4.2 Definition of the set of potential suppliers 194
4.3 Definition of the selection criteria 194
4.4 Supplier selection 198
4.5 Case study: The system for the selection of suppliers at Baxter 202
4.6 Questions and problems 205
5 Managing a warehouse 210
5.1 Introduction 210
5.1.1 Performance parameters 213
5.1.2 Decision-making problems 216
5.2 Warehouse design 216
5.2.1 Choice of warehouse systems 217
5.2.2 Choice of warehouse layout 230
5.2.3 Sizing of the storage zone 234
5.2.4 Sizing of the receiving zone 240
5.2.5 Sizing of the shipping zone 241
5.3 Tactical decisions for warehouse logistics planning 242
5.3.1 Product allocation to the storage points 242
5.3.2 Inventory management 249
5.4 Operational decisions for warehouse logistics management 276
5.4.1 Package picking from the storage zone 276
5.4.2 Package consolidation in load units 285
5.5 Case study: Performance evaluation of an AS/RS system conducted by Wert Consulting 303
5.6 Case study: Inventory management at Wolferine 305
5.7 Case study: Airplane loading at FedEx 306
5.8 Questions and problems 309
6 Managing freight transport 318
6.1 Introduction 318
6.1.1 Modes of transport 318
6.1.2 Classification of transport problems 323
6.2 Freight Traffic Assignment Problems (TAPs) 326
6.2.1 Minimum-cost flow formulation 327
6.2.2 Linear single-commodity minimum-cost flow problems 328
6.2.3 Linear multicommodity minimum-cost flow problems 336
6.3 Service network design problems 342
6.3.1 The linear fixed-charge network design model 344
6.4 Vehicle allocation problems 350
6.5 A dynamic driver assignment problem 352
6.6 Fleet composition 354
6.7 Shipment consolidation 356
6.8 Vehicle routing problems 359
6.8.1 The travelling salesman problem 362
6.8.2 The Node Routing Problem with Capacity and Length Constraints 378
6.8.3 The Node Routing and Scheduling Problem with Time Windows 391
6.8.4 Arc routing problems 398
6.8.5 Route sequencing 409
6.9 Real-time vehicle routing problems 410
6.10 Integrated location and routing problems 412
6.11 Vendor-managed inventory routing 414
6.12 Case study: Air network design at Intexpress 422
6.13 Case study: Meter reader routing and scheduling at Socal 427
6.14 Case study: Dynamic vehicle-dispatching problem with pickups and deliveries at eCourier 430
6.15 Questions and problems 432
Index 443
