Introduction to Distribution Logistics

Preface

1. Supply chain management

1.1 What do we mean by logistics?

1.2 Structure of production/distribution networks

1.3 Competition factors, cost drivers, and strategy

1.4 The role of inventories

1.5 Dealing with uncertainty

1.6 Physical flows and transportation

1.7 Time horizons and hierarchical levels

1.8 Decision approaches

1.9 Information flows and decision rights

1.10 Quantitative models and methods

1.11 For further reading

References

2. Network Design and Transportation

2.1 The role of intermediate nodes in a distribution network

2.2 Location and flow optimization models

2.3 Models involving nonlinear costs

2.4 For Further Reading

References

3. Forecasting

3.1 Introduction

3.2 The variable to be predicted

3.3 Metrics for forecast errors

3.4 A classification of forecasting methods

3.5 Moving Average

3.6 Simple exponential smoothing

3.7 Exponential Smoothing with Trend

3.8 Exponential smoothing with seasonality

3.9 Smoothing with seasonality and trend

3.10 Simple linear regression

3.11 Forecasting new products

3.12 The Bass model

References

4. Inventory management with Deterministic Demand

4.1 Introduction

4.2 Economic Order Quantity

4.3 Robustness of EOQ model

4.4 Case of LT > 0: the (Q,R) model

4.5 Case of finite replenishment rate

4.6 Multi-item EOQ

4.7 Case of nonlinear costs

4.8 The case of variable demand with known variability

References

5. Inventory control: the stochastic case

5.1 Introduction

5.2 The newsvendor problem

5.3 Multi-period problems

5.4 Fixed quantity: the (Q,R) model

5.5 Periodic review: S and (s, S) policies

5.6 The S policy

5.7 The (s, S) policy

References

6. Managing inventories in multiechelon supply chains

6.1 Introduction

6.2 Managing multi-echelon chains: Installation vs. Echelon Stock

6.3 Coordination in the supply chain: the Bullwhip effect

6.4 A linear

Paolo Brandimarte is Full Professor of Quantitative Methods for Finance and Logistics at Politecnico di Torino in Italy. He is the author of several publications, including six books, on the application of optimization and simulation to diverse areas such as production management, telecommunications, and finance. Dr. Brandimarte has extensive teaching experience in engineering and economics faculties, including master's- and PhD-level courses.

Giulio Zotteri, PhD, is Associate Professor in the School of Industrial Engineering at Politecnico di Torino in Italy. Dr. Zotteri's research interests include demand management and forecasting, inventory control, and operations management.

"An excellent introduction to logistics of distribution process ... .A good text for university students in the area of logistics and associated branches." ( Zentralblatt Math, 2008)
"Very extensive (approximately 146 pages) and useful appendixes contain material on statistics, probability, and mathematical programming." ( CHOICE February 2008)

"Valuable text for distribution logistics course at both the advanced undergraduate and beginning graduate levels in a variety of disciplines." ( Mathematical Reviews 2008)