Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened forresearch 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...
Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened forresearch attempting to explore risk ...
Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened forresearch 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...
Risk analysis is crucial in stochastic supply chain models. Over the past few years, the pace has quickened forresearch attempting to explore risk ...
