David L. Oslon

Supply Chain Risk Management

Tools for Analysis

• Broschiertes Buch

Produktbeschreibung

One of the many outcomes resulting from the explosion of international trade is access to lower cost production opportunities through outsourcing. This phenomenon has increased the importance of supply chains, the information technology needed to coordinate them and the need for this relatively complex enterprise to be exceptionally well-managed. There are obviously many cost benefits to be had from maintaining a strong and far-reaching supply chain. However, this opportunity to lower costs entails significant risks, such as tsunamis, earthquakes, political unrest, and economic turbulence. This book will introduce concepts and examples of risk in supply chain management, followed by an identification and discussion of an array of quantitative tools (selection methods, risk simulation modeling, and business scorecard analysis) to help manage these risks. Many books are appearing that address various aspects of supply chain risks. No other book known to the author addresses this set of modeling tools as a means of managing this risk.

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Produktdetails

• Verlag: Business Expert Press / McGraw-Hill Professional
• Seitenzahl: 144
• Erscheinungstermin: 21. November 2011
• Englisch
• Abmessung: 229mm x 152mm x 9mm
• Gewicht: 213g
• ISBN-13: 9781606493304
• ISBN-10: 1606493302
• Artikelnr.: 35713489

Autorenporträt

David L. Olson is the James & H.K. Stuart professor in MIS and chancellor's professor at the University of Nebraska. He has published research in over 200 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He has authored over 20 books, and associate editor of a number of journals. He has made over 150 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a fellow of the Decision Sciences Institute.