Introduction to Logistics Systems Management 2e

Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis Foreword by Marc Goetschalckx xiPreface xiiiAcknowledgements xvAbout the Authors xviiList of Abbreviations xix1 Introducing logistics 11.1 Definition of logistics 11.2 Logistics systems 11.2.1 Logistics activities 51.2.2 Information flows and logistics networks 51.2.3 Case of more products 71.3 Reverse logistics 91.4 Integrated logistics 101.5 Objectives of logistics 121.5.1 Measures of the service level 141.6 Management of the logistics system 181.6.1 Planning phase 181.6.2 Organizational phase 191.6.3 Control phase 281.7 Case study: The Pfizer logistics system 331.8 Questions and problems 362 Forecasting logistics requirements 442.1 Introduction 442.2 Qualitative methods 462.3 Quantitative methods 482.3.1 Graphical representation of time series 482.3.2 Classification of time series 482.4 Data preprocessing 512.4.1 Insertion of missing data 522.4.2 Detection of outliers 522.4.3 Data aggregation 532.4.4 Removing the calendar variations 552.4.5 Deflating monetary time series 562.4.6 Adjusting for population variations 572.4.7 Normalizing the data 582.5 Choice of the forecasting method 592.5.1 Notation 592.5.2 Casual versus extrapolation methods 592.5.3 Decomposition method 602.5.4 Further time ...

List of contents

Foreword by Marc Goetschalckx xiPreface xiiiAcknowledgements xvAbout the Authors xviiList of Abbreviations xix1 Introducing logistics 11.1 Definition of logistics 11.2 Logistics systems 11.2.1 Logistics activities 51.2.2 Information flows and logistics networks 51.2.3 Case of more products 71.3 Reverse logistics 91.4 Integrated logistics 101.5 Objectives of logistics 121.5.1 Measures of the service level 141.6 Management of the logistics system 181.6.1 Planning phase 181.6.2 Organizational phase 191.6.3 Control phase 281.7 Case study: The Pfizer logistics system 331.8 Questions and problems 362 Forecasting logistics requirements 442.1 Introduction 442.2 Qualitative methods 462.3 Quantitative methods 482.3.1 Graphical representation of time series 482.3.2 Classification of time series 482.4 Data preprocessing 512.4.1 Insertion of missing data 522.4.2 Detection of outliers 522.4.3 Data aggregation 532.4.4 Removing the calendar variations 552.4.5 Deflating monetary time series 562.4.6 Adjusting for population variations 572.4.7 Normalizing the data 582.5 Choice of the forecasting method 592.5.1 Notation 592.5.2 Casual versus extrapolation methods 592.5.3 Decomposition method 602.5.4 Further time series extrapolation methods: The constant trend case 712.5.5 Further time series extrapolation methods: The linear trend case 752.5.6 Further time series extrapolation methods: The seasonal effect case 802.5.7 Further time series extrapolation methods: The irregular series case 882.5.8 Sporadic time series 912.6 Advanced forecasting method 972.7 Accuracy measure and forecasting monitoring 982.7.1 Accuracy measures 992.7.2 Tuning of the forecasting methods 1002.7.3 Forecast control 1022.8 Interval forecasts 1062.9 Case study: Forecasting methods at Adriatica Accumulatori 1092.10 Case study: Sales forecasting at Orlea 1102.11 Questions and problems 1123 Locating facilities in logistics systems 1223.1 Introduction 1223.2 Qualitative methods 1263.3 Quantitative methods 1273.3.1 Single-commodity single-echelon continuous location problems 1283.3.2 Single-commodity single-echelon discrete location problems 1323.3.3 Single-commodity two-echelon discrete location problems 1553.3.4 The multicommodity case 1593.3.5 Location-covering problems 1633.3.6 p-centre problems 1683.4 Hybrid methods 1743.5 Stochastic location models 1753.6 Case study: Container warehouse location at Hardcastle 1793.7 Case study: The organ transplantation location-allocation policy of the Italian National Transplant Centre 1833.8 Questions and problems 1854 Selecting the suppliers 1934.1 Introduction 1934.2 Definition of the set of potential suppliers 1944.3 Definition of the selection criteria 1944.4 Supplier selection 1984.5 Case study: The system for the selection of suppliers at Baxter 2024.6 Questions and problems 2055 Managing a warehouse 2105.1 Introduction 2105.1.1 Performance parameters 2135.1.2 Decision-making problems 2165.2 Warehouse design 2165.2.1 Choice of warehouse systems 2175.2.2 Choice of warehouse layout 2305.2.3 Sizing of the storage zone 2345.2.4 Sizing of the receiving zone 2405.2.5 Sizing of the shipping zone 2415.3 Tactical decisions for warehouse logistics planning 2425.3.1 Product allocation to the storage points 2425.3.2 Inventory management 2495.4 Operational decisions for warehouse logistics management 2765.4.1 Package picking from the storage zone 2765.4.2 Package consolidation in load units 2855.5 Case study: Performance evaluation of an AS/RS system conducted by Wert Consulting 3035.6 Case study: Inventory management at Wolferine 3055.7 Case study: Airplane loading at FedEx 3065.8 Questions and problems 3096 Managing freight transport 3186.1 Introduction 3186.1.1 Modes of transport 3186.1.2 Classification of transport problems 3236.2 Freight Traffic Assignment Problems (TAPs) 3266.2.1 Minimum-cost flow formulation 3276.2.2 Linear single-commodity minimum-cost flow problems 3286.2.3 Linear multicommodity minimum-cost flow problems 3366.3 Service network design problems 3426.3.1 The linear fixed-charge network design model 3446.4 Vehicle allocation problems 3506.5 A dynamic driver assignment problem 3526.6 Fleet composition 3546.7 Shipment consolidation 3566.8 Vehicle routing problems 3596.8.1 The travelling salesman problem 3626.8.2 The Node Routing Problem with Capacity and Length Constraints 3786.8.3 The Node Routing and Scheduling Problem with Time Windows 3916.8.4 Arc routing problems 3986.8.5 Route sequencing 4096.9 Real-time vehicle routing problems 4106.10 Integrated location and routing problems 4126.11 Vendor-managed inventory routing 4146.12 Case study: Air network design at Intexpress 4226.13 Case study: Meter reader routing and scheduling at Socal 4276.14 Case study: Dynamic vehicle-dispatching problem with pickups and deliveries at eCourier 4306.15 Questions and problems 432Index 443

Product details

• Authors: G Ghiani, Gianpaol Ghiani, Gianpaolo Ghiani, Gianpaolo Laporte Ghiani, Gilber Laporte, Gilbert Laporte, Rober Musmanno, Roberto Musmanno
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 22.02.2013
• EAN: 9781119943389
• ISBN: 978-1-119-94338-9
• No. of pages: 478
• Series: Wiley Essentials in Operations Research; Wiley Series in Operations Research and Management Science; Wiley Essentials in Operations Research and Management Science; Wiley Series in Operations Research and Management Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Statistik, Statistics, Logistik (Wirtsch.), Business & management, Wirtschaft u. Management, Qualität, Produktivität u. Zuverlässigkeit, Quality, Productivity & Reliability, Betriebswirtschaft u. Operationsforschung, Management Science/Operational Research