Introduction to Distribution Logistics (eBook)

Paolo Brandimarte, Giulio Zotteri (Autoren)

eBook Download: PDF

2007 | 1. Auflage
608 Seiten
John Wiley & Sons (Verlag)
978-0-470-17004-5 (ISBN)

Infos

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.

Autor

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.

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,
2008/16)

"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)

Produkt-Details

• Erscheint lt. Verlag: 1.7.2008
• Reihe/Serie: Statistics in Practice
• Reihe/Serie: Statistics in Practice
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • Finanz- u. Wirtschaftsstatistik • Statistics • Statistics for Finance, Business & Economics • Statistik • Statistik in den Ingenieurwissenschaften • Systems Engineering & Management • Systemtechnik u. -management • Technische Statistik
• ISBN-10: 0-470-17004-2 / 0470170042
• ISBN-13: 978-0-470-17004-5 / 9780470170045