The Logic of Logistics Theory, Algorithms, and Applications for Logistics and Supply Chain Management /
Simchi-Levi, David.
The Logic of Logistics Theory, Algorithms, and Applications for Logistics and Supply Chain Management / [electronic resource] : by David Simchi-Levi, Xin Chen, Julien Bramel. - 2nd ed. 2005. - XX, 355 p. 38 illus. online resource. - Springer Series in Operations Research and Financial Engineering, 1431-8598 . - Springer Series in Operations Research and Financial Engineering, .
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.
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.
9780387226194
10.1007/b97669 doi
Game theory.
Production management.
Economic theory.
Industrial engineering.
Production engineering.
Operations research.
Management science.
Game Theory, Economics, Social and Behav. Sciences.
Operations Management.
Economic Theory/Quantitative Economics/Mathematical Methods.
Industrial and Production Engineering.
Operations Research, Management Science.
HB144 QA269-272
519
The Logic of Logistics Theory, Algorithms, and Applications for Logistics and Supply Chain Management / [electronic resource] : by David Simchi-Levi, Xin Chen, Julien Bramel. - 2nd ed. 2005. - XX, 355 p. 38 illus. online resource. - Springer Series in Operations Research and Financial Engineering, 1431-8598 . - Springer Series in Operations Research and Financial Engineering, .
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.
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.
9780387226194
10.1007/b97669 doi
Game theory.
Production management.
Economic theory.
Industrial engineering.
Production engineering.
Operations research.
Management science.
Game Theory, Economics, Social and Behav. Sciences.
Operations Management.
Economic Theory/Quantitative Economics/Mathematical Methods.
Industrial and Production Engineering.
Operations Research, Management Science.
HB144 QA269-272
519