On the improvement of closed-loop supply chain systems based on brittle theory

doi:10.3969/j.issn.0253-2778.2018.11.009

Abstract

Abstract: For the closed-loop supply chain system consisting of manufacturers, retailers and demand markets, entropy theory was used to quantify the brittleness of the closed-loop supply chain system as a whole, and it was studied that how, with the overall degree of brittleness of the closed-loop supply chain system exceeding the threshold, resulting in the collapse of the system, to weaken the brittle relationship between systems while reducing the overall brittleness of the system, so as to maintain the stability of the system. By analyzing the brittle structure and characteristics of the closed-loop supply chain system, the brittle propagation model was established, the hierarchical brittleness diagram of the system was obtained, and the brittle source of the closed-loop supply chain system was identified. The brittleness of the system was reduced from three aspects: the brittle source, the source of the brittle source, and the subsystem with the largest correlation with the brittle source. Through examples, it is shown that when the overall brittleness of the closed-loop supply chain system exceeds the system threshold, in order to avoid system crashes, the brittleness of the system is reduced through the treatment of brittle sources, thus improving the system.

Key words: closed-loop supply chain, brittle source, degree of brittleness, graph theory, entropy

CLC Number:

F274

SHAO Ruirui, FANG Zhigeng, XU Xinwei, LIU Sifeng, TAO Liangyan, NIE Yuanyuan. On the improvement of closed-loop supply chain systems based on brittle theory[J]. Journal of University of Science and Technology of China, 2018, 48(11): 933-942.

References

［1］
HIERONYMI K, SCHNEIDER A. How the European Union’s WEEE Directive will change the market for electronic equipment: Two scenarios[C]// Computers and the Environment: Understanding and Managing Their Impacts. Dordrecht, Netherlands: Springer, 2003:73-86.
[2] 钟卫红.中国废弃电器电子产品回收处理进程及法制建设[EB/OL]. [2017-08-01] http://www.cn-hw.net/html/sort068/201109/29751_9.html.
[3] GOVINDAN K, JHA P C, GARG K. Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing[J]. International Journal of Production Research, 2016, 54(5): 1-24.
[4] BHATTACHARYA R. A closed loop supply chain game between a supplier and a manufacturer in a two-stage scenario[J]. International Journal of Logistics Systems & Management, 2016, 23(4): 445.
[5] RAJKUMAR N, KUMAR R M S. Automotive closed loop supply chain with uncertainty[C]// International Journal of Applied Engineering Research, 2015, 10: No.55.
[6] 于春海, 李想. 闭环供应链双渠道回收系统定价机制与协调策略[J]. 东北大学学报(自然科学版), 2014, 35(9):1360-1368.
YU Chunhai，LI Xiang. Pricing mechanisms and coordination strategies of closed-loop supply chain with dual-channel recycling systems[J]. Journal of Northeastern University (Natural Science), 2014, 35(9):1360-1368.
[7] 张汉江, 余华英, 甘兴. 再制造补贴下闭环供应链协调的最优价格激励方式[J].系统工程, 2016, 34(8): 123-128.
ZHANG Hanjiang, YU Huaying, GAN Xing. The optimal price incentives contract of the remanufacturing closed-loop supply chain coordination with the government subsidy[J]. Systems Engineering, 2016, 34(8): 123-128.

[8] 张桂涛, 胡劲松, 孙浩,等. 由零售商负责回收的多期闭环供应链网络均衡[J]. 运筹与管理, 2015, 24(1): 57-66.
ZHANG Guitao，HU Jinsong，SUN Hao, et al. Multi-period closed-loop supply chain network equilibrium with retailer collection[J]. Operations Research and Management Science, 2015, 24(1): 57-66.
[9] WANG Y. Study of supply chain’s brittleness based on the complex system brittle theory[C]// IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007:1199-1203.
[10] KANG Y, LIU C, XU L. Supply chain brittle risk analysis based on maximum entropy theory[C]// International Conference of Logistics Engineering and Management 2010. New York: American Society of Civil Engineers, 2010: 4604-4610.
[11] 李新盛. 基于熵理论的农超对接模式下果蔬供应链脆性研究[D]. 北京: 北京交通大学, 2012.
[12] 周永务, 肖旦, 汤勤深,等. 分销供应链中竞争零售商联盟的稳定性[J]. 运筹与管理, 2013, 22(4):50-59.
ZHOU Yongwu, XIAO Dan, TANG Qinshen, et al. Stability of coalitions with competitive retailers in distribution supply chains[J]. Operations Research and Management Science, 2013, 22(4): 50-59.
[13] 公彦德. 主导模式和回收方式最优组合与供应链稳定性[J]. 系统工程学报, 2014, 29(1):85-95.
GONG Yande. Optimal combination of dominant mode and recovery mode for supply chain stability[J]. Journal of Systems Engineering, 2014, 29(1): 85-95.
[14] 覃艳华. 销售市场和回收市场同时扰动下的闭环供应链协调应对[J]. 运筹与管理, 2015, 24(5): 52-56.
QIN Yanhua. Closed-loop supply chain coordination under selling market and recycling market disruptions[J]. Operations Research and Management Science, 2015, 24(5): 52-56.
[15] 吕涛, 李肖肖. 煤电供应链脆性关键影响因素辨识[J]. 煤炭技术, 2017(1):224-226.
LYU Tao, LI Xiaoxiao. Identification of key factors influencing coal-electricity supply chain vulnerability[J]. Coal Technology, 2017(1): 224-226.
[16] 李琦，金鸿章，林德明．复杂系统的脆性模型及分析方法[J]．系统工程，2005，23(1)：9-12．
LI Qi, JIN Hongzhang, LING Deming. The model and analyzing method for complex system’s brittleness[J]．Systems Engineering, 2005, 23(1): 9-12．
[17] 张美荣. 基于图论的电力系统脆性分析及仿真[D]. 哈尔滨：哈尔滨理工大学, 2012.
[18] 梁晨灵. 逆向供应链的综合绩效评价体系研究[D]. 太原：太原理工大学, 2011.

()
()

[1]	Gai Wei, Hu Jie. Application of network vector autoregression model in volatility spillover analysis [J]. Journal of University of Science and Technology of China, 2021, 51(6): 468-474.
[2]	JIANG Shuoran, CHEN Yarui, QIN Zhifei, YANG Jucheng. Split and merge algorithm for Gaussian mixture model based on KS test [J]. Journal of University of Science and Technology of China, 2018, 48(6): 477-485.
[3]	SUN Yange, WANG Zhihai, YUAN Jidong, BAI Yang. Adaptive ensemble classification algorithm for data streams based on information entropy [J]. Journal of University of Science and Technology of China, 2017, 47(7): 575-582.