Paolo Brandimarte, Giulio Zotteri

Introduction to Distribution Logistics

• Gebundenes Buch

Produktbeschreibung

A unique introduction to distribution logistics that focuses on both quantitative modeling and practical business issues

Introduction to Distribution Logistics presents a complete and balanced treatment of distribution logistics by covering both applications and the required theoretical background, therefore extending its reach to practitioners and students in a range of disciplines such as management, engineering, mathematics, and statistics. The authors emphasize the variety and complexity of issues and sub-problems surrounding distribution logistics as well as the limitations and scope of applicability of the proposed quantitative tools. Throughout the book, readers are provided with the quantitative approaches needed to handle real-life management problems, and areas of study include:
_

Supply chain management
_

Network design and transportation
_

Demand forecasting
_

Inventory control in single- and multi-echelon systems
_

Incentives in the supply chain
_

Vehicle routing

Complete with extensive appendices on probability and statistics as well as mathematical programming, Introduction to Distribution Logistics is a valuable text for distribution logistics courses at both the advanced undergraduate and beginning graduate levels in a variety of disciplines, and prior knowledge of production planning is not assumed. The book also serves as a useful reference for practitioners in the fields of applied mathematics and statistics, manufacturing engineering, business management, and operations research. The book's related Web site includes additional sections and numerical illustrations.

Produktdetails

• Statistics in Practice
• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 608
• Erscheinungstermin: 12. August 2013
• Englisch
• Abmessung: 240mm x 161mm x 37mm
• Gewicht: 990g
• ISBN-13: 9780471750444
• ISBN-10: 0471750441
• Artikelnr.: 22850158

Autorenporträt

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.

Inhaltsangabe

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 distribution chain with
two echelons and certain demand. 6.5 Arborescent chain with two echelons:
transit point with uncertain demand. 6.6 A two echelon supply chain in case
of stochastic demand. References. 7. Incentives in the supply chain. 7.1
Introduction. 7.2 Decisions on price: double marginalization. 7.3 Decision
on price in a competitive environment. 7.4 Decision on inventories: the
Newsvendor problem. 7.5 Decision on effort to produce and sell the product.
7.6 Concluding remarks. References. 8. Vehicle Routing. 8.1 Network routing
problems. 8.2 Solution methods for symmetric TSP. 8.3 Solution methods for
basic VRP. 8.4 Additional features of real-life VRP. 8.5 Final remarks. 8.6
For further reading. References. Appendix A: A Quick Tour of Probability
and Statistics. A.1 Sample space, events, and probability. A.2 Conditional
probability and independence. A.3 Discrete random variables. A.4 Continuous
random variables. A.5 Jointly distributed random variables. A.6
Independence, covariance, and conditional expectation. A.7 Stochastic
processes. A.8 Parameter estimation. A.9 Hypothesis testing. the mean of
two populations. A.10 Simple linear regression. A.11 For further reading.
References. Appendix B: An even Quicker Tour in Mathematical Programming.
B.1 Role and limitations of optimization models. B.2 Optimization models.
B.3 Convex sets and functions. B.4 Nonlinear programming. B.5 Linear
programming. B.6 Integer linear programming. B.7 Elements of
multi-objective optimization. B.8 For further reading. References. Index.

Rezensionen

"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)