Description
Taylor & Francis Ltd The Supply Chain In Manufacturing Distribution & Transportation 2010 Edition by Kenneth D. Lawrence
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. 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 ChainAnalytic Probabilistic Models in Supply Chain ProblemsOptimization Models of Supply Chain ProblemsBecause 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. INDUSTRIAL AND SERVICE APPLICATIONS OF THE SUPPLY CHAINMulticriteria Decision Making in Ethanol Production Problems: A Fuzzy Goal Programming Approach; Kenneth D. Lawrence, Dinesh R. Pai, Ronald K. Klimberg and Sheila M. LawrenceFrom Push to Pull: The Automation and Heuristic Optimization of a Caseless Filler Line in the Dairy Industry; Brian W. SegulinOptimization of Medical Services: The Supply Chain and Ethical Implications; Daniel J. Miori and Virginia M. MioriUsing Hierarchical Planning to Exploit Supply Chain Flexibility: An Example from the Norwegian Meat Industry; Peter Schutz, Asgeir Tomasgard, and Kristin Tolstad UggenTransforming U.S. Army Supply Chains: An Analytical Architecture for Management Innovation; Greg H. ParlierANALYTIC PROBABILISTIC MODELS OF SUPPLY CHAIN PROBLEMSA Determination of the Optimal Level of Collaboration between a Contractor and Its Suppliers under Demand Uncertainty; Seong-Hyun Nam, John Vitton, and Hisashi KurataOnline Auction Models and Their Impact on Sourcing and Supply Management; John F. Kros and Christopher M. KellerAnalytical Models for Integrating Supplier Selection and Inventory Decisions; Burcu B. KeskinInventory Optimization of Small Business Supply Chains with Stochastic Demand; Kathleen Campbell, Gerard Gampagna, Anthony Costanzo and Christopher MatthewsOPTIMIZATION MODELS OF SUPPLY CHAIN PROBLEMSA Dynamic Programming Approach to the Stochastic Truckload Routing Problem; Virginia M. MioriModeling Data Envelopment Analysis (DEA) Efficient Location/Allocation Decisions; Ronald K. Klimberg, Samuel J. Ratick, Vinay Tavva, Sasanka Vuyyuru, and Daniel MrazikSourcing Models for End-of-Use Products in a Closed-Loop Supply Chain; Kishore K. Pochampally and Surendra M. GuptaA Bi-Objective Supply Chain Scheduling; Tadeusz SawikApplying Data Envelopment Analysis and Multiple Objective Data Envelopment Analysis to Identify Successful Pharmaceutical Companies; Ronald K. Klimberg, George P. Sillup, George Webster, Harold Rahmlow, and Kenneth D. Lawrence