Study On Supply Chain Harmoniousness Evaluation Based On RS-SVM

As the competitive environment has been changed greatly, the competition between enterprises has changed into supply chain's competition. So supply chain management is much more important now than past. Because of multi-agent organization in the supply chain, the enterprises face much more complicate environment and uncertain factors, which make the companies facing huge risk. Harmonious operation of the supply chain management has huge threats. How to build harmonious operation mechanisms of the supply chain management and how to make the management be running effectively is significance for supply chain management.This essay analyses research status and the problems at home and abroad firstly. We describe basic theory of the harmonious supply chain. Secondly, analysing the factors that effect the harmonious supply chain, we build the index system of the supply chain harmoniousness. Thirdly, we discusse the basic theory of support vector machine and rough set, and this article analyses the algorithm steps based on support vector machine and rough set evaluation. Finally, this paper assesses supply chain harmoniousness with the case. We make comparison of supply chain harmoniousness result and bp-neural network's result. At last through testing the feasibility and the effectiveness of the rough set and support vector machine, we progress the countermeasures of the supply chain harmoniousness.