基于相关机会目标规划的钢板切割分配建模

Modeling of Distribution in Steel Plate Cutting Based on Dependentchance Goal Programming

摘要:

为实现从多个不确定供给端向数控切割机分配钢板的多目标要求,运用相关机会目标规划对钢板切割的供给分配系统进行建模.该模型修正了同一优先级下对多目标的处理过程,并在给定优先级下极小化各目标偏差,采用融合随机模拟、神经网络和遗传算法的混合智能算法进行求解.计算结果极大化了关键设备完成最大切割长度的机会,提出了加大临时抽板量的同时保证分配有序性的方法,基本满足了生产的多目标要求.结果表明,将相关机会目标规划用于多供给端分配系统中,可以消除和控制由于供给的不确定性对生产造成的影响.

Abstract:

Due to the multiple objectives of steel plate distribution from suppliers with uncertainty to computer numerical control cutters,the supplydistribution system was modeled by dependentchance goal programming (DCGP).This model revised the disposal process of goals in the same priority and minimized the deviation from the target with certain preemptive priorities.It was solved by a hybrid intelligent algorithm which integrated stochastic simulation,neural network and genetic algorithm(GA).The calculating result shows that the chance of crucial cutters to achieve the supreme cutting lengths is maximized.The drawnout amount of steel plates increases while the sequence of the distribution retains.The multiple objectives of the production can be satisfied.It proves that DCGP can eliminate and control the effect on the production because of suppliers’ uncertainty in distribution system with multisuppliers.