报告题目：DECISION MAKING UNDER UNCERTAINTY THROUGH ROBUST OPTIMIZATION: Integrating Supply Chain Management with Corporate Governance for Risk Management
报 告 人：Catherine LOU博士（澳大利维多利亚大学）
报告时间：2017年1月9日(星期一)上午9:30
报告地点：安徽大学磬苑校区理工D楼318室
主办单位：计算机科学与技术学院
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科学技术处
2017年1月4日
报告人简介：
Catherine LOU博士 澳大利维多利亚大学(Victoria University)
Dr Catherine Lou is a lecturer in supply chain and logistics in the College of Business and Project Manager at the Victoria Business Confucius Institute at Victoria University. Catherine joined VU as a lecturer after she completed her PhD in Supply Chain Optimisation. During her PhD she was awarded the International Student of the Year – Postgraduate by Victoria State in 2013 and has since been awarded the VU Outstanding Student Alumni Award 2015. She has conducted research in supply chain modelling since 2008 and has a very strong background in applied mathematics. She has a research concentration that covers topics such as: supply chain management; risk management; green tourism; corporate governance; business information systems through the application of optimisation modelling, statistics, and other quantitative analysis. In addition to her positions with the College of Business and the Victoria Business Confucius Institute, Catherine is a Research Associate at both the Institute for Supply Chain and Logistics and the Victoria Institute of Strategic Economic Studies.
报告摘要：
AlphaGo与深度学习After recent bankruptcies and financial crises arising from failures in dealing with problems of uncertainty, risk management is now a priority not only in good corporate governance practices but also in supply chain management across different industries. This raises important questions about how companies should take account of such risk management from good corporate governance practices and uncertainties in supply chain management. In some circumstances principles and polices are difficult to interpret in supply chain operations, are not properly exhibited in strategic plans, and cannot be broadly applied for the long term benefit of the company. This research develops a new collaborative robust supply chain management and corporate governance (RSCMCG) framework that combines good corporate governance practices for risk management strategies. This is followed by a RSCMCG model to support strategic decision making under uncertainty. It shows the superiority in robustness and optimality for pursuing better supply chain performance with the incorporation of good corporate governance practices. The RSCMCG model is applied to a hypothetical case study and is compared to other methods to present its superior results and application. Despite the limitations of some particular results, it is found the RSCMCG model provides optimal supply chain solutions and risk management strategies for supporting the company to achieve long term benefits in firm value and maximizing shareholders’ interests while maintaining robustness in an uncertain environment. It also investigates the impact of good corporate governance practices on the company’s performance. The findings and results from this study act as a good pilot study for those who wish to further explore the incorporation of supply chain management with corporate governance.