Supply Chain Engineering: Models and Applications (Operations Research Series) - Tapa dura

"Everyone admires the supply chain efficiency that makes glitzy products like Apple iPhone and iPad available everywhere or the availability of Coca-Cola drink even in many remote tourist spots. But not many understand the 'secret sauce.' This book unravels the mystery of the mathematics behind supply chain without intimidating the readers. Readers’ interest is maintained through contemporary examples and issues without sacrificing the rigor. A much-needed balanced book that has deftly managed the twin objectives of rigor and readability, breadth and depth and theory and practice admirably well."
―Prof S. Sadagopan, IIIT Bangalore, India

"... a very comprehensive first-year graduate level textbook covering all aspects of global supply chain management, incorporating optimization and MCDM (multi-criteria decision making) into the process of supply chain design, decision making, and operation."
―Katta G. Murty, University of Michigan, Ann Arbor, USA

"This volume is included in curricula for industrial engineering and supply chain as well as MBA students, however it makes a good bridge for readers looking to move from simple lean or Japanese production methods based on kanban and cells, into deeper, more responsive globally integrated networks. ... Exercises complete the book’s rigorous approach to proving the concepts. Risk pooling, a key logistics method, is covered thoroughly with questions that plumb the reader’s general and detailed comprehension."
―Blue Heron Journal

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 "micro" in its focus that the perspective on the larger business problem is lost, nor is it so "macro" in its treatment of that business context that it fails to develop students' appreciation for, and skills to solve, the tactical problems that must be addressed in effectively managing flows of goods in supply chains. Building students' knowledge of the first principles of supply chain engineering, the book covers the traditional issues in operations, logistics, and supply chain management-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 authors' 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 students' understanding of managing global supply chains.