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
Analytic Probabilistic Models of Supply Chain Problems. A Determination of the Optimal Level of Collaboration between a Contractor and Its Suppliers under Demand Uncertainty. Online Auction Models and Their Impact on Sourcing and Supply Management. Analytical Models for Integrating Supplier Selection and Inventory Decisions. Inventory Optimization of Small Business Supply Chains with Stochastic Demand. Optimization Models of Supply Chain Problems. A Dynamic Programming Approach to the Stochastic Truckload Routing Problem. Modeling Data Envelopment Analysis (DEA) Efficient Location/Allocation Decisions. Sourcing Models for End-of-Use Products in a Closed-Loop Supply Chain. A Bi-Objective Supply Chain Scheduling. Applying Data Envelopment Analysis and Multiple Objective Data Envelopment Analysis to Identify Successful Pharmaceutical Companies.