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由于需求的不确定,很多企业在综合生产决策中渐渐采取面向定单的生产计划方式.当订单需求大于企业最大生产能力时,需要进行产品组合决策,以确定使利润最大的多产品混合生产的产量.本文针对一个面向订单生产的半离散制造型企业,结合Agent,建立了一个不依赖于特定成本和利润函数形式的基于作业流程和BOM结构的分布式生产决策模型,并给出了基于粒子群优化算法的启发式求解方法.该算法通过一维搜索调整粒子群“飞翔”的速度系数以解决寻优过程中粒子“飞出”可行域的问题,通过算例验证了求解算法的有效性.为将算法融合到所研究企业的ERP系统中,开发了试验性原型系统,并进行了模拟决策,结果表明所提出的模型和算法是可行的.
Due to the uncertainty of demand, many enterprises gradually take the form of order-oriented production planning in comprehensive production decision-making, when the demand for orders is greater than the maximum production capacity of the enterprise, they need to make product portfolio decisions to determine the output of the most profitable multi-product hybrid production In this paper, a semi - discrete manufacturing enterprise oriented to order production, combined with Agent, established a distributed production decision model based on job flow and BOM structure that does not depend on specific cost and profit function. Heuristic method to solve the optimization algorithm.The algorithm adjusts the speed coefficient of the particle swarm “fly ” through one-dimensional search to solve the problem of “flying out” particles in the optimization process, In order to integrate the algorithm into the ERP system of the enterprise under study, the experimental prototype system was developed and the simulation decision was made. The results show that the proposed model and algorithm are feasible.