关键词: 产业链协同, 不确定规划, 神经网络, 遗传算法

Abstract: To effectively integrate internal resource in industrial chain,the coordinated scheduling optimization for production and distribution of industrial chain were researched.After analyzing three value steps,the related mathematical model was established,and an uncertainty compensation model was established to solve the uncertainty in production scheduling.On this basis,an uncertain programming optimization system integrated stochastic simulation,fuzzy inference,neural network and heuristic algorithm was proposed,which could fit the randomness,concurrency and fuzziness in uncertain programming,and could obtain an optimal solution of coordinated scheduling of production and distribution of industrial chain under uncertain environment.Simulation experiments were conducted on instances of different sizes,and the results showed that the uncertain environment in the scheduling process could be well fitted by the proposed system.The adaptable solution was obviously superior to the genetic algorithms and the stage optimization algorithm.

Key words: industrial chains collaboration, uncertain programming, neural network, genetic algorithms