The Risk Combinatorial Optimization Control Of Aquatic Products Supply Chain Based On CVaR

According to statistics, in March2012, China’s production of frozen aquaticproducts achieves578,600tons, a year-on-year growth of32.81%. However, along withthe increase of agricultural production, at the same time, there have a lot of quality and safetyproblems of aquatic products, therefore is extremely important to control the aquatic safetyrisk. Supply chain risks exist inevitably, which can not completely eliminate, but it can takesome ways to reduce the risk’s influences. Now, there are many supply chain risk researchesat home and abroad, including risk assessment, platform structures, risk optimization, etc.Aquatic products in this article have its cold chain natures, so it is more stringent to controlsupply chain risk. It is need lots of money to invest for enterprise, so, from the input-outputpoint of view, it is need a enterprise-depth study for weighing which supply chain risks worthcontrol.First of all, according to the current studies at home and abroad for the supply chainrisk analysis, based on the reality of the Enterprise A, make the analysis of the aquaticsupply chain (Take tilapia for example)logistics processes, and identify risks exist in everyaspects of the enterprise A.Then contrast supply chain risk assessment methods, select AHP-OWA operator as therisk assessment method, and make a quantitative calculation of AHP-OWA operator riskassessment model, at last find the enterprise’s main risk indicators; Apply currently widelyused in economic investment-CVaR, to construct risk control portfolio optimization model;Use the improved genetic algorithm as solving the model’s algorithm.Finally, based on the Enterprise A as a instance, apply matlab to solve theCVaR optimal combination of risk control model, and ultimately get Enterprise A’s the bestcombination of risk control, achieved a minimum risk of loss purposes.Finally, the optimal solution was worked out under the three levels of confidence,making the loss of value (0.0011,0.0003,0). The largest fund was invested inx3(thetemperature control risk in farming areas) under three levels of confidence. All this implythat it is need to control risk start from the source, and to ensure that the temperature control is very important for cold chain. As an effective risk measurement tool, CVaR was widelyused in the economic field as well as risk portfolio optimization of the logistics industry,which expanded its application scope and at the same time proposed a new approach for theoptimization of logistics risk. Based on low-input and high-output, lowing the risk as much aspossible, at the same time to save the cost of risk control for the enterprise.