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Introduction to Logistics Systems Management,9781118492185
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Introduction to Logistics Systems Management



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This is the 2nd edition with a publication date of 1/23/2013.

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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.

Table of Contents



About the Authors

Exercises and Website


1 Introducing Logistics

1.1 Definition of Logistics

1.2 Logistics Systems

1.2.1 Logistics activities

1.2.2 Information flows and logistics network

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 Organisational phase

1.6.3 Control phase

1.7 Case Study: the Pfizer Logistics System

1.8 Questions and Problems

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 Normalising 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

3 Designing the Logistics Network

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

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

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

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

6.2.1 Minimum cost flow formulation

6.2.2 Linear single commodity minimum cost flow problems

6.2.3 Linear multicommodity 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


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