Cover -- Title Page -- Copyright -- Contents -- Foreword by Marc Goetschalckx -- Preface -- Acknowledgements -- About the Authors -- List of Abbreviations -- Chapter 1 Introducing logistics -- 1.1 Definition of logistics -- 1.2 Logistics systems -- 1.2.1 Logistics activities -- 1.2.2 Information flows and logistics networks -- 1.2.3 Case of more products -- 1.3 Reverse logistics -- 1.4 Integrated logistics -- 1.5 Objectives of logistics -- 1.5.1 Measures of the service level -- 1.6 Management of the logistics system -- 1.6.1 Planning phase -- 1.6.2 Organizational phase -- 1.6.3 Control phase -- 1.7 Case study: The Pfizer logistics system -- 1.8 Questions and problems -- Chapter 2 Forecasting logistics requirements -- 2.1 Introduction -- 2.2 Qualitative methods -- 2.3 Quantitative methods -- 2.3.1 Graphical representation of time series -- 2.3.2 Classification of time series -- 2.4 Data preprocessing -- 2.4.1 Insertion of missing data -- 2.4.2 Detection of outliers -- 2.4.3 Data aggregation -- 2.4.4 Removing the calendar variations -- 2.4.5 Deflating monetary time series -- 2.4.6 Adjusting for population variations -- 2.4.7 Normalizing the data -- 2.5 Choice of the forecasting method -- 2.5.1 Notation -- 2.5.2 Casual versus extrapolation methods -- 2.5.3 Decomposition method -- 2.5.4 Further time series extrapolation methods: The constant trend case -- 2.5.5 Further time series extrapolation methods: The linear trend case -- 2.5.6 Further time series extrapolation methods: The seasonal effect case -- 2.5.7 Further time series extrapolation methods: The irregular series case -- 2.5.8 Sporadic time series -- 2.6 Advanced forecasting method -- 2.7 Accuracy measure and forecasting monitoring -- 2.7.1 Accuracy measures -- 2.7.2 Tuning of the forecasting methods -- 2.7.3 Forecast control -- 2.8 Interval forecasts.

2.9 Case study: Forecasting methods at Adriatica Accumulatori -- 2.10 Case study: Sales forecasting at Orlea -- 2.11 Questions and problems -- Chapter 3 Locating facilities in logistics systems -- 3.1 Introduction -- 3.2 Qualitative methods -- 3.3 Quantitative methods -- 3.3.1 Single-commodity single-echelon continuous location problems -- 3.3.2 Single-commodity single-echelon discrete location problems -- 3.3.3 Single-commodity two-echelon discrete location problems -- 3.3.4 The multi-commodity case -- 3.3.5 Location-covering problems -- 3.3.6 p-centre problems -- 3.4 Hybrid methods -- 3.5 Stochastic location models -- 3.6 Case study: Container warehouse location at Hardcastle -- 3.7 Case study: The organ transplantation location-allocation policy of the Italian National Transplant Centre -- 3.8 Questions and problems -- Chapter 4 Selecting the suppliers -- 4.1 Introduction -- 4.2 Definition of the set of potential suppliers -- 4.3 Definition of the selection criteria -- 4.4 Supplier selection -- 4.5 Case study: The system for the selection of suppliers at Baxter -- 4.6 Questions and problems -- Chapter 5 Managing a warehouse -- 5.1 Introduction -- 5.1.1 Performance parameters -- 5.1.2 Decision-making problems -- 5.2 Warehouse design -- 5.2.1 Choice of warehouse systems -- 5.2.2 Choice of warehouse layout -- 5.2.3 Sizing of the storage zone -- 5.2.4 Sizing of the receiving zone -- 5.2.5 Sizing of the shipping zone -- 5.3 Tactical decisions for warehouse logistics planning -- 5.3.1 Product allocation to the storage points -- 5.3.2 Inventory management -- 5.4 Operational decisions for warehouse logistics management -- 5.4.1 Package picking from the storage zone -- 5.4.2 Package consolidation in load units.

5.5 Case study: Performance evaluation of an AS/RS system conducted by Wert Consulting -- 5.6 Case study: Inventory management at Wolferine -- 5.7 Case study: Airplane loading at FedEx -- 5.8 Questions and problems -- Chapter 6 Managing freight transport -- 6.1 Introduction -- 6.1.1 Modes of transport -- 6.1.2 Classification of transport problems -- 6.2 Freight Traffic Assignment Problems (TAPs) -- 6.2.1 Minimum-cost flow formulation -- 6.2.2 Linear single-commodity minimum-cost flow problems -- 6.2.3 Linear multi-commodity minimum-cost flow problems -- 6.3 Service network design problems -- 6.3.1 The linear fixed-charge network design model -- 6.4 Vehicle allocation problems -- 6.5 A dynamic driver assignment problem -- 6.6 Fleet composition -- 6.7 Shipment consolidation -- 6.8 Vehicle routing problems -- 6.8.1 The travelling salesman problem -- 6.8.2 The Node Routing Problem with Capacity and Length Constraints -- 6.8.3 The Node Routing and Scheduling Problem with Time Windows -- 6.8.4 Arc-routing problems -- 6.8.5 Route sequencing -- 6.9 Real-time vehicle-routing problems -- 6.10 Integrated location and routing problems -- 6.11 Vendor-managed inventory routing -- 6.12 Case study: Air network design at Intexpress -- 6.13 Case study: Meter reader routing and scheduling at Socal -- 6.14 Case study: Dynamic vehicle-dispatching problem with pickups and deliveries at eCourier -- 6.15 Questions and problems -- Index.