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 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.
Lawrence (management, New Jersey Institute of Technology), Klimberg (decision and system sciences, Saint Joseph's U.), and Miori (decision and system sciences, Saint Joseph's U.) present research conducted in order to provide insight on the integration of transportation, distribution, and production in the management of the supply chain. Fourteen chapters are organized into sections examining industrial and service applications of the supply chain, analytic probabilistic models of supply chain problems, and optimization models of supply chain problems.
-In Research Book News, booknews.com, February 2011
