Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state-of-the-art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.
Rezensionen / Stimmen
From the reviews of the second edition: "The present book focuses on the application of operational research and mathematical modelling techniques to logistics and supply chain management (SCM) problems. The authors performed a substantial revision of the 1st edition and included a number of new subjects ... . The book is carefully written and is an important reference for readers with a solid background in probability and optimisation theory ... . the present book should be seen as a valuable guide describing techniques that can be applied or adapted to real-life situations." (Teresa Melo, OR News, Issue 25, 2005)
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Professional/practitioner
Editions-Typ
Produkt-Hinweis
Illustrationen
38
38 s/w Abbildungen
38 black & white illustrations, biography
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-387-22199-1 (9780387221991)
DOI
Schweitzer Klassifikation
Performance Analysis Techniques.- Convexity and Supermodularity.- Worst-Case Analysis.- Average-Case Analysis.- Mathematical Programming Based Bounds.- Inventory Models.- Economic Lot Size Models with Constant Demands.- Economic Lot Size Models with Varying Demands.- Stochastic Inventory Models.- Integration of Inventory and Pricing.- Design and Coordination Models.- Procurement Contracts.- Supply Chain Planning Models.- Facility Location Models.- Vehicle Routing Models.- The Capacitated VRP with Equal Demands.- The Capacitated VRP with Unequal Demands.- The VRP with Time Window Constraints.- Solving the VRP Using a Column Generation Approach.- Logistics Algorithms in Practice.- Network Planning.- A Case Study: School Bus Routing.
