敏捷供应链质量兼容生产计划模型与算法

描述了敏捷供应链质量兼容生产计划问题,建立了有限企业资源约束条件下的极大化模糊交货期满意度数学模型,设计了一种求解模型的导引变异遗传算法,从而利用信息查询引导变异个体进行可行化随机变异,同时应用惩罚技术和精华选择策略来引导遗传搜索达到可行解空间的最好区域.大量计算结果表明了模型和所提算法的有效性.

Research on Model and Solving Algorithm of Production Planning with Combined Quality for Agile Supply Chain Management

The problem of production planning with combined quality is described for agile supply chain management. A model is proposed in which enterprise resource is restricted, and its objective is to find an optimal production planning and to maximize the satisfaction of fuzzy due date. A genetic algorithm of led mutation is designed to solving the model. In algorithm, an individual of random mutation become be feasibility using information inquired technology and a led mutation process. After that, the genetic search is led to the best area of feasibility by means of the penalty technology and elite election strategy. The computational results demonstrate that it can get a satisfactory solution.