书目名称 | Risk Analysis in Stochastic Supply Chains |
副标题 | A Mean-Risk Approach |
编辑 | Tsan-Ming Choi,Chun-Hung Chiu |
视频video | |
概述 | First monograph to explore using Mean-Risk Formulation in Supply Chain Risk.Appropriate for practitioners and researchers alike.Reviews existing research and then considers its extensions for future r |
丛书名称 | International Series in Operations Research & Management Science |
图书封面 |  |
描述 | .Risk 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 impor |
出版日期 | Book 2012 |
关键词 | Mean Risk Analysis; Operations Management; Operations Research; Quantitative Analysis; Stochastic Supply |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4614-3869-4 |
isbn_softcover | 978-1-4899-9390-8 |
isbn_ebook | 978-1-4614-3869-4Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
issn_series | 0884-8289 |
copyright | Springer Science+Business Media New York 2012 |