摘要
针对在订单突然增加的情况下供应链系统如何协调顾客满意度和企业利润的问题,将核心企业作为协调中心,优先考虑顾客满意度,并兼顾供应链节点企业利润,利用多层目标规划理论建立三层决策优化模型,并用模糊隶属度原理将多目标问题转化为单目标问题,设计了基于交互协商的三步求解算法,利用遗传算法对转化后的模型进行求解。最后,通过数值算例验证了此三步求解算法的可行性和一定程度上的先进性。
Aiming at the issue of coordinating customer satisfaction and corporate profit with the supply chain system when the the number of orders increases suddenly, a three-level decision optimization model based on multi-objective programming theory was proposed. The new approach considers core enterprises as the coordination hub,customer satisfaction as the priority, and gurantees profits of enterprises on the nodes of the supply chain. The fuzzy membership degree theory was adopted to transform the multi-objective problem into the single objective problem. Besides, a three-step solving algorithm was designed based on interactive negotiation and optimization process was performed using genetic algorithm. Finally, a numerical example was given to prove the feasibility and the superiority.
出处
《工业工程与管理》
CSSCI
北大核心
2017年第2期97-104,110,共9页
Industrial Engineering and Management
基金
国家科技支撑计划项目(2015BAF08B02)
国家自然科学基金资助重点项目(61533005)
国家社科基金资助一般项目(14BGL063)
教育部人文社会科学研究青年基金资助项目(11YJC630005)
中央高校基本科研业务费资助项目(DUT14RW101)
2016年度辽宁省社科规划基金项目研究成果
省社科联2017年度辽宁经济社会发展立项课题研究成果(2017lslktyb-042)
关键词
供应链
顾客满意度
多目标优化
三层规划
交互协商
supply chain
customer satisfaction
multi-objective optimization
three-levelprogramming
interactive negotiation