# Supply Chain Engineering

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Winner of 2013 IIE/Joint Publishers Book-of-the-Year Award Emphasizing a quantitative approach, Supply Chain Engineering: Models and Applications provides state-of-the-art mathematical models, concepts, and solution methods important in the design, control, operation, and management of global supply chains. The text provides an understanding of how companies plan, source, make, and deliver their products to create and/or maintain a global competitive advantage. It emphasizes application of operations research models and methods to optimize the various components of an integrated supply chain. The authors have carefully constructed the book so that it is not so qmicroq in its focus that the perspective on the larger business problem is lost, nor is it so qmacroq in its treatment of that business context that it fails to develop studentsa appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Building studentsa knowledge of the first principles of supply chain engineering, the book covers the traditional issues in operations, logistics, and supply chain managementaforecasting demand, managing inventories, managing transportation, and locating facilities. It also includes a number of new optimization tools such as risk pooling, for addressing these problems, based on recent research. In addition, the authorsa treatment of managing customer-supplier relations supplies a fresh perspective that draws on recent research using multiple criteria optimization methods. Moreover, the chapter on managing risks in supply chains presents important problems that extend beyond the traditional treatment of supply chain management. Building a bridge between theory and practice, the authors pull all of these themes together in the culminating chapter that solidifies studentsa understanding of managing global supply chains.Computing S(Q) requires a loss function, which is typically available in look-up table form for the standard normal distribution. Thus, for normally distributed demand I² I I¼ ( ) ( ) Q L z = a1 (3.6) where L(z) is the standard normal loss function* z = (Q ... I where x a¼ N(0, 1) and I is the pdf of x (i.e., the standard normal pdf). ... The Excel code for doing this is = NORMDIST(z, 0, 1, FALSE)az*(1- NORMSDIST(z)).

 Title : Supply Chain Engineering Author : A. Ravi Ravindran, Donald P. Warsing, Jr. Publisher : CRC Press - 2013-01-17