针对供应链中断问题,提出2个供应链恢复策略—供应商预设紧急库存策略和制造商进行产品变更策略,同时还考虑了紧急库存的存储成本和变更后产品的退货率。为了最大化制造商的利润和顾客满意度,分别建立了单目标和双目标模型。将2个模型中的优化问题转换为混合整数规划问题并基于ILOG CPLEX给出了相应的求解算法。仿真结果表明：所提的中断恢复策略不仅可以有效地帮助供应商止损,并且可以很好地满足市场需求。
Aiming at supply chain disruptions, two effective supply chain recovery strategies are proposed, namely, a supplier’s preset emergency inventory strategy and a manufacturer’s product change strategy, meanwhile, emergency inventory storage cost and products return rate after change are also taken into consideration. In order to maximize the manufacturer’s profit and customer satisfaction, a single-objective model and a bi-objective model are established, respectively. The optimization problems in the two models are transformed into mixed integer programming problems, moreover, corresponding solution algorithms are presented based on ILOG CPLEX. The simulation results show that the disruption recovery strategies proposed can not only help suppliers to reduce losses effectively, but also meet the market demands well.
[1] 周敏. 地震灾害下应急物资需求预测与供应策略仿真研究[D]. 北京: 北京交通大学, 2019.
Zhou Min.Emergency Material Demand Forecasting and Supply Strategy Simulation under Earthquake Disaster[D]. Beijing: Beijing Jiaotong University, 2019.
[2] 王莉莉. 泰国洪水重创全球零配件供应链[J]. 中国对外贸易, 2011, 4(12): 52-53.
Wang Lili.Floods in Thailand Hit the Global Spare Parts Supply Chain[J]. China’s Foreign Trade, 2011, 4(12): 52-53.
[3] 杨浩. 危机下的供应链管理[J]. 中小企业管理与科技, 2015, 4(9): 66-68.
Yang Hao.Supply Chain Management in Crisis[J]. Management & Technology of SME, 2015, 4(9): 66-68.
[4] 韩玲. 中断风险感知对采购决策及绩效的影响研究[D].南京: 南京大学, 2011.
Han Ling.Research on How Perception of Disruption Risk Affect Procurement Decision and Performance[D]. Nanjing: Nanjing University, 2011.
[5] Fuller T. Floodwaters are Gone, But Supply Chain Issues Linger[N]. The New York Times, 2012-01-21.
[6] 张程. 特殊时期的经济负增长[J]. 检察风云, 2020, 4(10): 64-65.
Zhang Cheng.Negative Economic Growth in a Special Period[J]. Prosecutorial View, 2020, 4(10): 64-65.
[7] 余飞. 苏伊士运河“世纪堵塞”的背后[J]. 中国储运, 2021, 4(5): 64-65.
Yu Fei.Behind the “Century Blockage” of the Suez Canal[J]. China Storage & Transport, 2021, 4(5): 64-65.
[8] 李新, 王宛山, 韩洋, 等. 一种柔性供应链仿真系统的研究与实现[J]. 系统仿真学报, 2013, 25(6): 1270-1278.
Li Xin, Wang Wanshan, Han Yang, et al.Novel Flexible Supply Chain Simulation System[J]. Journal of System Simulation, 2013, 25(6): 1270-1278.
[9] 徐颖, 刘勤明, 周林森. 基于博弈论的闭环双渠道回收供应链决策研究[J/OL]. 系统仿真学报, (2021-02-01) [2021-06-30]. http://kns.cnki.net/kcms/detail/11.3092.V. 20210129.1742.008.html.
Xu Ying, Liu Qinming, Zhou Linsen. Research on Decision Making of Closed-loop Double-channel Recovery Supply Chain Based on Game Theory[J/OL]. Journal of System Simulation, (2021-02-01) [2021-05-31]. http://kns.cnki.net/kcms/detail/11.3092. V.20210129.1742.008.html.
[10] Berger P D, Gerstenfeld A, Zeng A Z.How Many Suppliers are Best? A Decision-analysis Approach[J]. Omega (S0305-0483), 2004, 32(1): 9-15.
[11] Sawik T.Selection of Supply Portfolio Under Disruption Risks[J]. Omega (S0305-0483), 2011, 39(2): 194-208.
[12] Sawik T.Selection of Resilient Supply Portfolio Under Disruption Risks[J]. Omega (S0305-0483), 2013, 41(2): 259-269.
[13] Hosseini S, Barker K.A Bayesian Network Model for Resilience-based Supplier Selection[J]. International Journal of Production Economics (S0925-5273), 2016, 180(3): 68-87.
[14] Craighead C W, Blackhurst J, Rungtusanatham M J, et al.The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities[J]. Decision Sciences (S0011-7315), 2007, 38(1): 131-156.
[15] Chowdhury M M H, Quaddus M. Supply Chain Resilience: Conceptualization and Scale Development Using Dynamic Capability Theory[J]. International Journal of Production Economics (S0925-5273), 2017, 188(5): 185-204.
[16] Tsai W C.A Dynamic Sourcing Strategy Considering Supply Disruption Risks[J]. International Journal of Production Research (S0020-7543), 2016, 54(7): 2170-2184.
[17] 江务学, 胡选子, 刘敏霞, 等. 一种基于多智能体云供应链信息协同模型[J]. 系统仿真学报, 2016, 28(1): 51-56.
Jiang Wuxue, Hu Xuanzi, Liu Minxia, et al.Information Collaboration Model of Cloud Computing Supply Chain Based on Multi-Agent[J]. Journal of System Simulation, 2016, 28(1): 51-56.
[18] Chen J, Wang H, Zhong R Y.A Supply Chain Disruption Recovery Strategy Considering Product Change Under COVID-19[J]. Journal of Manufacturing Systems (S0278-6125), 2021, 60: 920-927.
[19] 胡东波, 沈悦, 衡如丹, 等. B2B供应链全局需求信息共享价值的仿真研究[J]. 系统仿真学报, 2017, 29(7): 1611-1616, 1624.
Hu Dongbo, Shen Yue, Heng Rudan, et al.Simulation on Global Demand Information Sharing Value in B2B Supply Chain[J]. Journal of System Simulation, 2017, 29(7): 1611-1616, 1624.
[20] Asian S, Nie X.Coordination in Supply Chains with Uncertain Demand and Disruption Risks: Existence, Analysis, and Insights[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems (S2168-2216), 2014, 44(9): 1139-1154.
http://www.china-simulation.com
