000 03987nam a22004815i 4500
001 978-1-4614-3869-4
003 DE-He213
005 20140220083249.0
007 cr nn 008mamaa
008 120604s2012 xxu| s |||| 0|eng d
020 _a9781461438694
_9978-1-4614-3869-4
024 7 _a10.1007/978-1-4614-3869-4
_2doi
050 4 _aHD30.23
072 7 _aKJT
_2bicssc
072 7 _aKJMD
_2bicssc
072 7 _aBUS049000
_2bisacsh
082 0 4 _a658.40301
_223
100 1 _aChoi, Tsan-Ming.
_eauthor.
245 1 0 _aRisk Analysis in Stochastic Supply Chains
_h[electronic resource] :
_bA Mean-Risk Approach /
_cby Tsan-Ming Choi, Chun-Hung Chiu.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aIX, 98 p. 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v178
505 0 _aMean-Risk Analysis: An Introduction -- Mean-Risk Analysis of Single-Period Inventory Problems -- Mean-Risk Analysis of Multi-Period Inventory Problems -- Mean-Risk Analysis of Supply Chain Coordination Problems -- Mean-Risk Analysis: Conclusion, Future Research and Extensions.
520 _aRisk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened for  research attempting to explore risk analysis issues in supply chain management problems, while the majority of recent papers focus on conceptual framework or computational numerical analysis.  Pioneered by Nobel laureate Markowitz in the 1950s, the mean-risk (MR) formulation became a fundamental theory for risk management in finance. Despite the significance and popularity of MR-related approaches in finance, their applications in studying multi-echelon supply chain management problems have only been seriously explored in recent years. While the MR approach has already been shown to be useful in conducting risk analysis in stochastic supply chain models, there is no comprehensive reference source that provides the state-of-the-art findings on this important model for supply chain management. Thus it is significant to have a book that reviews and extends the MR related works for supply chain risk analysis.  This book is organized into five chapters. Chapter 1 introduces the topic, offers a timely review of various related areas, and explains why the MR approach is important for conducting supply chain risk analysis. Chapter 2 examines the single period inventory model with the mean-variance and mean-semi-deviation approaches. Extensive discussions on the efficient frontiers are also reported. Chapter 3 explores the infinite horizon multi-period inventory model with a mean-variance approach. Chapter 4 investigates the supply chain coordination problem with a versatile target sales rebate contract and a risk averse retailer possessing the mean-variance optimization objective. Chapter 5 concludes the book and discusses various promising future research directions and extensions. Every chapter can be taken as a self-contained article, and the notation within each chapter is consistently employed.
650 0 _aEconomics.
650 0 _aOperations research.
650 1 4 _aEconomics/Management Science.
650 2 4 _aOperation Research/Decision Theory.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aProduction/Logistics/Supply Chain Management.
700 1 _aChiu, Chun-Hung.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461438687
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v178
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-3869-4
912 _aZDB-2-SBE
999 _c101455
_d101455