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:
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.
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"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)
"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)
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.
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