Chinese Journal of Management Science ›› 2025, Vol. 33 ›› Issue (8): 177-188.doi: 10.16381/j.cnki.issn1003-207x.2022.2637
Wenqiang Shi1, Zhaojun Kong2, Mingyue Wang3(), Jie He4
Received:
2022-12-06
Revised:
2023-05-09
Online:
2025-08-25
Published:
2025-09-10
Contact:
Mingyue Wang
E-mail:wangmingyue@casisd.cn
CLC Number:
Wenqiang Shi, Zhaojun Kong, Mingyue Wang, Jie He. System Dynamics Analysis of Emergency Materials Mobilization Chain Resilience under the Coupling of Multiple Disruptions[J]. Chinese Journal of Management Science, 2025, 33(8): 177-188.
"
变量 | 值 | 变量 | 值 | 变量 | 值 | 变量 | 值 |
---|---|---|---|---|---|---|---|
主要灾害强度 | 8级 | 总原材料供应企业数量 | 15家 | 山区因子 | 1.3无量纲 | 制造单位原材料库存持有成本 | 0.7元/米 |
基本修复率 | 0.03无量纲 | 原材料供应企业最大产能 | 50000米/家·天 | 满足需求产生的效用(需求满意价值) | 3000元/顶 | 制造单位缺货惩罚 | 1000元/顶 |
需求传递延迟时间 | 1天 | 上一环节 原材料库存 覆盖时间 | 1.3天 | 最终产品采购价格 | 1300元/顶 | 原材料购买价格 | 10元/米 |
集散中心库存覆盖时间 | 1.1天 | 原材料供应企业库存调节时间 | 1天 | 最终产品运输成本 | 30元/顶 | 上一环原材料购买价格 | 10元/米 |
集散中心库存调节时间 | 1.1天 | 原材料转化率2 | 1.25无量纲 | 集散中心库存成本 | 30元/顶 | 原材料生产成本 | 2元/米 |
制造单位总数量 | 18家 | 牵引系数 | 0.5 | 单个制造单位签约协调费 | 1500元/家 | 原材料运输成本 | 0.5元/米 |
制造单位基础产能 | 550顶/家·天 | 原材料供应企业发货到制造单位的时间 | 1天 | 单个供应企业签约和协调费 | 500元/家 | 原材料企业原料库存成本 | 0.5元/米 |
政府职能部门信息传递延迟时间 | 1天 | 制造单位产能 上调系数 | 0.3无量纲 | 政府职能部门缺货损失 | 2500元/顶 | 上一环节原材料库存持有成本 | 0.3元/米 |
制造单位原材料库存覆盖时间 | 1.2天 | 制造单位发货到集散中心的时间 | 1天 | 产品生产成本 | 150元/顶 | 原材料供应企业缺货惩罚 | 8元/米 |
制造单位库存调节时间 | 1天 | 动员物资运往灾区的时间 | 1天 | 制造单位运往集散中心的运输成本 | 20元/顶 | 初始集散中心库存 | 500顶 |
原材料转化率1 | 38米/顶 | 信息系统修复延迟时间 | 1天 | 制造单位最终产品库存持有成本 | 20元/顶 | 初始制造单位产品库存 | 900顶 |
初始制造单位原材料库存 | 10000米 | 初始原材料供应企业原材料库存量 | 4000米 | 初始上一环节原材料库存 | 120000米 |
[1] | 史文强, 孔昭君, 汪明月. 考虑需求中断和购买者过度自信的应急物资动员链协调[J]. 控制理论与应用, 2020, 37(10): 2163-2177. |
Shi W Q, Kong Z J, Wang M Y. Coordination of emergency materials mobilization chain considering demand disruption and purchaser’s overconfidence[J]. Control Theory & Applications, 2020, 37(10): 2163-2177. | |
[2] | Xiao T, Qi X. Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers[J]. Omega, 2008, 36(5): 741-753. |
[3] | Ali S M, Rahman M H, Tumpa T J, et al. Examining price and service competition among retailers in a supply chain under potential demand disruption[J]. Journal of Retailing and Consumer Services, 2018, 40: 40-47. |
[4] | Yan B, Chen Z, Liu Y P, et al. Pricing decision and coordination mechanism of dual-channel supply chain dominated by a risk-aversion retailer under demand disruption[J]. RAIRO - Operations Research, 2021, 55(2): 433-456. |
[5] | 陈崇萍, 陈志祥. 供应商产出随机与供应中断下的双源采购决策[J]. 中国管理科学, 2019, 27(6): 113-122. |
Chen C P, Chen Z X. Optimal dual-sourcing procurement decisions with suppliers' random yield and disruptions[J]. Chinese Journal of Management Science, 2019, 27(6): 113-122. | |
[6] | 王静, 陈希. 考虑供应链中断风险的制造商风险应对方案研究[J]. 工业工程与管理, 2019, 24(3): 27-34. |
Wang J, Chen X. Manufacturer’s risk response under supply chain disruption risk[J]. Industrial Engineering and Management, 2019, 24(3): 27-34. | |
[7] | Gupta V, Ivanov D. Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy[J]. International Journal of Production Research, 2020, 58(1): 291-307. |
[8] | Zhang Y, Zhang T. Complex dynamics in a closed-loop supply chain with risk aversion and fairness concerns under supply disruption[J]. International Journal of Bifurcation and Chaos, 2021, 31(9): 2150132. |
[9] | 王海军, 张瑞娜, 郭羽洪, 等. 零售商补贴对供应链可靠性协调策略影响研究[J]. 管理工程学报, 2021, 35(4): 190-201. |
Wang H J, Zhang R N, Guo Y H, et al. The impact of retailer subsidy on supply chain reliability coordination strategy[J]. Journal of Industrial Engineering and Engineering Management, 2021, 35(4): 190-201. | |
[10] | 杨洋, 邹明阳, 谢国强, 等. 重大突发公共卫生事件下的供应链恢复机制[J]. 管理学报, 2020, 17(10): 1433-1442. |
Yang Y, Zou M Y, Xie G Q, et al. Distributed wake-up: Supply chain recovery mechanism under major public health emergencies[J]. Chinese Journal of Management, 2020, 17(10): 1433-1442. | |
[11] | Paul S K, Chowdhury P. A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19[J]. International Journal of Physical Distribution & Logistics Management, 2021, 51(2): 104-125. |
[12] | Ivanov D, Das A. Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: A research note[J]. International Journal of Integrated Supply Management, 2020, 13(1): 90-102. |
[13] | Hosseini S, Ivanov D. Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review[J]. Expert Systems with Applications, 2020, 161: 113649. |
[14] | Soni U, Jain V, Kumar S. Measuring supply chain resilience using a deterministic modeling approach[J]. Computers & Industrial Engineering,2014,74: 11-25. |
[15] | Sahu A K, Datta S, Mahapatra S S. Evaluation of performance index in resilient supply chain: A fuzzy-based approach[J]. Benchmarking, 2017, 24(1): 118-142. |
[16] | Urciuoli L, Mohanty S, Hintsa J, et al. The resilience of energy supply chains: A multiple case study approach on oil and gas supply chains to Europe[J]. Supply Chain Management, 2014, 19(1): 46-63. |
[17] | Lücker F, Chopra S, Seifert R W. Mitigating product shortage due to disruptions in multi-stage supply chains[J]. Production and Operations Management, 2021, 30(4): 941-964. |
[18] | Chakraborty T, Chauhan S S, Ouhimmou M. Mitigating supply disruption with a backup supplier under uncertain demand: Competition vs. cooperation[J]. International Journal of Production Research, 2020, 58(12): 3618-3649. |
[19] | 王之乐, 张纪海. 基于系统动力学的应急物资动员潜力评估[J]. 系统工程理论与实践, 2019, 39(11): 2880-2895. |
Wang Z L, Zhang J H. An evaluation of emergency materials mobilization potential based on system dynamics[J]. Systems Engineering-Theory & Practice, 2019, 39(11): 2880-2895. | |
[20] | 刘纯霞, 陈友余, 汪寿阳. 运营中断风险下企业营业中断保险购买策略研究[J]. 中国管理科学, 2023, 31(4): 26-34. |
Liu C X, Chen Y Y, Wang S Y. Purchase strategy of business interruption insurance under the risk of operational interruption[J]. Chinese Journal of Management Science, 2023, 31(4): 26-34. | |
[21] | Bhavathrathan B K, Patil G R. Capacity uncertainty on urban road networks: A critical state and its applicability in resilience quantification[J]. Computers, Environment and Urban Systems, 2015, 54: 108-118. |
[22] | 郭晓婷. 浙江省已完成民政部救灾帐篷生产任务的97.74%[EB/OL].(2008-06-18)[2022-12-01]. . |
Guo X T. 97.74% of the production task of disaster relief tents by the Ministry of Civil Affairs has been completed in Zhejiang Province[EB/OL].(2008-06-18)[2022-12-01].. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|