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不确定经济环境下基于EVA的鲁棒供应链网络设计模型
引用本文:邱若臻,陈瑞颍,关志民,黄小原.不确定经济环境下基于EVA的鲁棒供应链网络设计模型[J].控制与决策,2017,32(2):203-212.
作者姓名:邱若臻  陈瑞颍  关志民  黄小原
作者单位:东北大学工商管理学院,沈阳110004,东北大学工商管理学院,沈阳110004,东北大学工商管理学院,沈阳110004,东北大学工商管理学院,沈阳110004
基金项目:国家自然科学基金项目(71372186, 70972100);教育部人文社会科学研究一般项目(11YJC630165);中央高校基本科研业务费专项资金项目(N150604005).
摘    要:针对由制造商、仓库、分销中心和客户组成的四级供应链网络设计问题,考虑以产品需求、短期利率、长期 利率、无风险利率、预期市场回报、证券承销费用和市场流动性等因素描述的经济环境不确定性,建立以供应链 经济增加值绩效为目标,网络设计、物流和财务运作为约束条件,设施选择、连接路径等为网络要素,生产、运输等物 流量和负债、保理、应收账款等财务项为决策变量的多产品、多周期供应链网络鲁棒设计模型.数值结果表明,基于 经济增加值的鲁棒供应链网络能够有效应对经济不确定性的影响.特别地,与传统随机优化方法相比,鲁棒优化能够确保供应链网络具有更好的鲁棒性和财务状况.

关 键 词:供应链  经济增加值  鲁棒优化  经济不确定  网络设计
收稿时间:2016/1/1 0:00:00
修稿时间:2016/1/1 0:00:00

Robust supply chain network design model based on economic value added under economic uncertainty
QIU Ruo-zhen,CHEN Rui-ying,GUAN Zhi-min and HUANG Xiao-yuan.Robust supply chain network design model based on economic value added under economic uncertainty[J].Control and Decision,2017,32(2):203-212.
Authors:QIU Ruo-zhen  CHEN Rui-ying  GUAN Zhi-min and HUANG Xiao-yuan
Affiliation:School of Business Administration,Northeastern University,Shenyang 110004,China,School of Business Administration,Northeastern University,Shenyang 110004,China,School of Business Administration,Northeastern University,Shenyang 110004,China and School of Business Administration,Northeastern University,Shenyang 110004,China
Abstract:The problem of designing a four-echelon supply chain network(SCN) which consists of manufacturers, warehouses, distribution centers and customers is studied.By considering the economic uncertainty described by factors of product demand, short-term interest rate, long-term interest rate, risk-free rate of interest, expected return of the market, underwriting cost and market liquidity, a multi-product and multi-period and robust SCN design model is proposed, which takes the supply chain operation performance measured by economic value added(EVA) as objective, supply chain structure design, logistics and financial operations as constrains, and network elements including facility selection and connection path, logistics operation including production, transportation, etc, and financial factors contained by debt, factoring and accounts receivable and so on as decision variables.The numerical results show that the designed robust supply chain network based on EVA can effectively cope with the impact of economic uncertainty.Specifically, comparing with the traditional stochastic optimization, robust optimization can be applied to a supply chain network with better robustness and healthy financial position.
Keywords:
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