摘要
针对机械产品总装过程中的准时物料配送问题,从优化目标、约束条件及影响因素三方面考虑,提出以物料运输成本、物料运输时间、线旁库存三者综合为优化目标的多目标准时物料配送模型。给出优化目标的计算方法,并设计了混合粒子群算法,给出了使用此算法求解模型的具体实现过程。最终求解得到物料配送单用于指导配送,使决策者能够根据实际情况选择优化的偏好值。通过一个总装车间准时物料配送问题的实例验证了此模型和算法的有效性。
To solving the real--time material delivery problems during the assembly process of mechanical products, a multi--objective real--time materials distribution model was proposed considering from optimization objectives, constraints and impact factors, which integrated materials transportation costs, materials transportation time and materials storage on--line as optimization target. The calculation method of optimization objectives was given, a hybrid particle swarm algorithm was designed and the detail realization process with this algorithm was presented. Then distribution bills were gained, which used to guide materials distribution, and the overall objective optimization will he achieved, the decision--makers choose the preferred solution of optimization objectives according to the facts. Finally, the validity of this model and algorithm was verified by a case of assembly plant materials distribution problem.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2011年第23期2834-2838,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(71071046)
关键词
准时物料配送
多目标
JIT(准时)
混合PSO
real-- time material delivery
multi-- objective
just-- in-- time(JIT)
hybrid particle swarm optimization