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The Supply Chain in Manufacturing, Distribution, and Transportation

Title: The Supply Chain in Manufacturing, Distribution, and Transportation
Author: Kenneth D. Lawrence, Ronald K. Klimberg
ISBN: 1138372692 / 9781138372696
Format: Soft Cover
Pages: 330
Publisher: CRC Press
Year: 2019
Availability: 2 to 3 weeks

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Reporting on cutting-edge research in production, distribution, and transportation, The Supply Chain in Manufacturing, Distribution, and Transportation: Modeling, Optimization, and Applications provides the understanding needed to tackle key problems within the supply chain. Viewing the supply chain as an integrated process with regard to tactical and operational planning, it details models to help you address the wide range of organizational issues that can adversely affect your supply chain.

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This compilation of scholarly research work from academia and industry considers high-level production schedules, product sourcing, network alignment, distribution center layouts, transportation operations with stochastic demand, inventory planning, and day-to-day operations planning. The book is divided into three sections :

*Industrial and Service Applications of the Supply Chain
*Analytic Probabilistic Models in Supply Chain Problems
*Optimization Models of Supply Chain Problems
Because tactical and operational models rely on quality forecasts of demand, the text examines stochastic customer demand, coordination of supply chain functions, and solution algorithms. It reviews real-world business applications and case studies that illustrate the modeling solutions discussed.

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Preface
Introduction
About the Editors
Contributors
Review Board

Section 1 : Industrial and Service Applications of the Supply Chain
Chapter 1 : Multicriteria Decision Making in Ethanol Production Problems : A Fuzzy Goal Programming Approach
Chapter 2 : From Push to Pull : The Automation and Heuristic Optimization of a Caseless Filler Line in the Dairy Industry
Chapter 3 : Optimization of Medical Services : The Supply Chain and Ethical Implications
Chapter 4 : Using Hierarchical Planning to Exploit Supply Chain Flexibility : An Example from the Norwegian Meat Industry
Chapter 5 : Transforming U.S. Army Supply Chains : An Analytical Architecture for Management Innovation

Section 2 : Analytic Probabilistic Models of Supply Chain Problems
Chapter 6 : A Determination of the Optimal Level of Collaboration between a Contractor and Its Suppliers Under Demand Uncertainty
Chapter 7 : Online Auction Model and Their Impact on Sourcing and Supply Management
Chapter 8 : Analytical Models for Integrating Supplier Selection and Inventory Decisions
Chapter 9 : Inventory Optimization of Small Business Supply Chains with Stochastic Demand

Section 3 : Optimization Models of Supply Chain Problems
Chapter 10 : A Dynamic Programming Approach to the Stochastic Truckload Routing Problem
Chapter 11 : Modeling Data Envelopment Analysis (DEA) Efficient Location/Allocation Decisions
Chapter 12 : Sourcing Models for End-of-Use Products in a Closed-Loop Supply Chain
Chapter 13 : A Bi-Objective Supply Chain Scheduling
Chapter 14 : Applying Data Envelopment Analysis and Multiple Objective Data Envelopment Analysis to Identify Successful Pharmaceutical Companies

Index

 

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