Study Of The Copartner Evaluating And Selecting Based On Genetic Algorithm

This thesis does the labor on supply chain management and supply chainintegration theory frame, and bat around the operation process of supply chaincopartner relation management. Under analyzing the bypast model and its mainproblems, putting forward the enterprise copartner evaluating and selectingmodel of supply chain management based on genetic algorithm, emphasizing theresearch on seeking solution algorithm of key parameter in model.Firstly, it introduces the concept of supply chain, structure model andcharacter, and brings the concept of supply chain management, then discussessupply integration theory frame.Secondly, it introduces the definition of supply chain copartner relation andits significance in supply chain management. Particularly discussing the supplychain copartner selecting and evaluating system from both level structure andmaths model.Thirdly, roundly summarize several methods of copartner selecting, fullyanalyzes the advantage and disadvantage of these methods. Indicating theproblems in copartner selecting maths model, then bring forward the scheme ofsolving problems.Last, brings the copartner evaluating and selecting model based on geneticalgorithm, adhibits genetic algorithm and fuzzy reasoning model, and improvesthe accuracy and objectivity of the evaluation. In this model, describes theevaluation result to copartner with affirmatory evaluating value, doing thefeedback evaluating to the copartner's behavior, regulating the evaluating valueusing fuzzy reasoning model based on genetic algorithm, and this makes theevaluating value reflect the evaluating result subjectively and accurately, andfinally reaches the synthesis-copartnering aim. Brings the seeking solutionalgorithm on power weight and accommodation character value key parameter,and proves that through imitating algorithm examples.