-
供应链是由原材料供应商到最终客户的一系列生产和流通过程所形成的链条结构，连接着上、下游各个企业之间的关系。供应链包含了采购、生产、仓储、分销、客户服务、信息管理和资金管理等不同环节之间的物料、资源、资金和信息等的相互关联流动，从而形成了复杂的网链结构。高效可靠的供应链对于增强企业的市场竞争力、推动社会和经济持续发展具有重要意义。近年来，采用复杂网络的理论和方法对供应链进行建模和分析受到了越来越多学者的关注。本文系统性地论述基于实证数据和网络模型两种类型的供应链网络构建研究，在此基础上探讨供应链网络的拓扑结构、脆弱性、关键节点识别、社团检测等结构性质，阐明供应链网络的风险传播、竞争博弈等管理特性。本文综述了基于复杂网络方法的供应链研究内容和前沿热点，论证了复杂网络理论在供应链网络研究中的有效性和适用性，分析了供应链网络研究现存的一些问题，并展望若干未来的重要研究方向。本文期望为供应链研究提供见解，并推动复杂网络方法在供应链研究中的发展和应用。The supply chain is a chain structure formed by the sequential processes of production and distribution, spanning from raw material suppliers to end customers. An efficient and reliable supply chain is of great significance for enhancing an enterprise’s market competitiveness and promoting sustainable social and economic development. The supply chain includes the interconnected flows of materials, resources, capital, and information across various stages, including procurement, production, warehousing, distribution, customer service, information management, and financial management. By representing the various participants in the supply chain as nodes and their interactions—such as the logistics, capital flow, information flow, and other interactions—as edges, the supply chain can be described and characterized as a complex network. In recent years, the application of complex network theory and methods to model and analyze supply chains has attracted increasing attention from researchers. This paper systematically reviews the supply chain research based on complex network theory, providing an in-depth analysis of supply chain networks in terms of network construction, structural properties, and management characteristics. First, this paper reviews two kinds of approaches to constructing supply chain network: empirical data-based and network model-based approaches. In empirical data-based research, scholars use common supply chain databases or integrate multiple data sources to identify supply chain participants and clarify their attributes, behaviors, and interactions. Alternatively, research based on network models employs the Barabási-Albert (BA) model, incorporating factors such as node distance, fitness, and edge weights, or uses hypergraph models to construct supply chain networks. Next, this paper summarizes research on the structural properties of supply chain networks, focusing on their topological structure, key node identification, community detection, and vulnerability analysis. Relevant studies explore the topological structure of supply chain networks, uncovering the connections between nodes, hierarchical structures, and information flow paths between nodes. By analyzing factors such as node centrality, connection strength, and flow paths, key nodes within the supply chain network are identified. Community detection algorithms are employed to investigate the relationships between different structural parts and to analyze the positional structure, cooperative relationships, and interaction modes. Furthermore, quantitative evaluation indicators and management strategies are proposed for the robustness and resilience of supply chain networks. Further research has explored the management characteristics of supply chain networks, including risk propagation and competition game. Relevant studies have employed three main methods—epidemic model, cascading failure model, and agent-based model—to construct risk propagation models, simulate the spread of disruption risks, and analyze the mechanisms, paths, and extent of risk propagation within supply chain networks. These studies provide valuable insights for developing risk prevention and mitigation strategies. In addition, game theory has been applied to investigate cooperative competition, resource allocation, and strategy selection among enterprises within the supply chain network. This paper reviews the research content and emerging trends in supply chain studies based on complex network methods. It demonstrates the effectiveness and applicability of complex network theory in supply chain network research and discusses key challenges, such as how to obtain accurate, comprehensive, and timely supply chain network data, propose standardized data processing methods, and determine the attributes of supply chain network nodes and the strength of their relationships. Furthermore, research on supply chain network structure has not yet fully captured the unique characteristics of supply chain networks. Existing models and methods for vulnerability assessment often fail to account for the dynamic and nonlinear features of supply chain networks. Research on risk propagation in supply chains has not sufficiently integrated empirical data, overlooking the diversity of risk sources and the complexity of propagation paths. The asymmetry and incompleteness of information within supply chain networks, along with multiple sources of uncertainty, further complicate the prediction and analysis of multi-party decisionmaking behavior. The paper also outlines several key directions for future research. One direction involves applying high-order network theory to model interactions among multiple nodes and to describe the dynamics of multi-agent interactions within supply chain networks. Furthermore, integrating long short-term memory (LSTM) methods to process longterm dependencies in time-series data could enhance the analysis of network structure evolution and improve the prediction of future states. The application of reinforcement learning algorithms could also enable adaptive adjustments to network structures and strategies in response to changing conditions and demand, thereby enhancing the adaptability and response speed of supply chain networks during emergencies. This paper aims to contribute valuable insights to supply chain research and to promote the development and application of complex network methods in this field.
-
Keywords:
- Supply chain network /
- Complex networks /
- Structural properties /
- Management characteristics
-
[1] Choi T Y, Dooley K J, Rungtusanatham M 2001 J. Oper. Manag. 19 351
[2] Surana A, Kumara S, Greaves M, Raghavan U N 2005 Int. J. Prod. Res. 43 4235
[3] Helbing D, Armbruster D, Mikhailov A S, Lefeber E 2006 Physica A 363 xi
[4] Cao W G, Xie S L, Qiao X D 2008 Eighth International Conference of Chinese Logistics and Transportation Professionals Chengdu, China, July 31-August 3, 2008 p1949
[5] Zhang H M, Feng T T, Yang Y S 2022 Resour. Policy. 75 102492
[6] Dolgui A, Ivanov D, Sokolov B 2018 Int. J. Prod. Res. 56 414
[7] Cruz J M 2008 Eur. J. Oper. Res. 184 1005
[8] Hearnshaw E J, Wilson M M 2013 Int. J. Oper. Prod. Man. 33 442
[9] Pathak S D, Day J M, Nair A, Sawaya W J, Kristal M M 2007 Decision Sci. 38 547
[10] Borgatti S P, Li X 2009 J. Supply Chain Manag. 45 5
[11] Ledwoch A, Yasarcan H, Brintrup A 2018 Int. J. Prod. Econ. 197 13
[12] Wang K Q, Zeng Z F, Sun D C 2008 Fourth International Conference on Semantics, Knowledge and Grid Beijing, China, December 3-5, 2008 p493
[13] Ou C Y, Pan F B, Lin S J 2024 Sustainability 16 5514
[14] Xu M J, Wang X P, Zhao L D 2014 Int. J. Syst. Sci.:Oper. Logist. 1 105
[15] Liang D, Bhamra R, Liu Z Y, Pan Y C 2022 Mathematics 10 3008
[16] Chan C K, Zhou Y, Wong K H 2019 Eur. J. Oper. Res. 275 514
[17] Gedik R, Medal H, Rainwater C, Pohl E A, Mason S J 2014 Transp. Res. E Logist. Transp. Rev. 71 45
[18] Carvalho H, Naghshineh B, Govindan K, Cruz-Machado V 2022 Comput. Ind. Eng. 171 108375
[19] Carnovale S, Rogers D S, Yeniyurt S 2019 J. Purch. Supply Manag. 25 134
[20] Wuttke D A, Blome C, Henke M 2013 Int. J. Prod. Econ. 145 773
[21] Yu H, Li H R 2023 Resour. Policy. 85 104055
[22] Rezapour S, Farahani R Z, Pourakbar M 2017 Eur. J. Oper. Res. 259 1017
[23] Ivanov D 2023 Int. J. Prod. Res. 61 1683
[24] Van den Brink S, Kleijn R, Sprecher B, Tukker A 2020 Resour., Conserv. Recycl. 156 104743
[25] Sloane A, O'reilly S 2013 Prod. Plan. Control 24 621
[26] Wang J P, Zhou H, Jin X D 2021 Chaos, Solitons Fractals 143 110259
[27] Brintrup A, Ledwoch A, Barros J 2016 Logist. Res. 9 1
[28] Kim Y, Choi T Y, Yan T, Dooley K 2011 J. Oper. Manag. 29 194
[29] Shi J Y, Yang J H, Li Y X, Zhang Q W 2019 Chin. Ind. Econ. 136(in Chinese) 史金艳,杨健亨,李延喜,张启望2019中国工业经济136
[30] Zhao K, Zuo Z, Blackhurst J V 2019 J. Oper. Manag. 65 190
[31] D'Ignazio A, Giovannetti E 2014 Int. J. Prod. Econ. 147 486
[32] Tang L B, Wang P, Ma Z J, Pauliuk S, Chen W Q, Dai T, Lin Z P 2023 J. Ind. Ecol. 27 323
[33] Bellamy M A, Ghosh S, Hora M 2014 J. Oper. Manag. 32 357
[34] Mu D, Ren H Y, Wang C, Yue X P, Du J B, Ghadimi P 2023 Resour. Policy. 80 103225
[35] Hu X Q, Wang C, Lim M K, Chen W Q, Teng L M, Wang P, Wang H M, Zhang C, Yao C Y, Ghadimi P 2023 Renewable Sustainable Energy Rev. 173 113083
[36] Basole R C, Bellamy M A 2014 Decision Sci. 45 753
[37] Barabási A L, Albert R 1999 Science 286 509
[38] Albert R, Barabási A L 2002 Rev. Mod. Phys. 74 47
[39] Bell M, Perera S, Piraveenan M, Bliemer M, Latty T, Reid C 2017 Sci. Rep. 7 42431
[40] Chen H W, Chen G P, Zhang Q N, Zhang X X 2023 PLoS One 18 e0278697
[41] Wang J P, Zhou H, Sun X L, Yuan Y F 2023 Chaos, Solitons Fractals 170 113371
[42] Yu H S, Zhao L D, Lai X H 2009 Chin. J. Manag. 6 187(in Chinese)于海生, 赵林度,来向红2009管理学报6 187
[43] Tian Y Z, Shi Y Q, Shi X Q, Li M H, Zhang M 2021 IEEE Access 9 91265
[44] Suo Q, Guo J L, Sun S W, Liu H 2018 Physica A 489 141
[45] Wang X F, Li X, Chen G R 2012 Network Science:An Introduction (Beijing: High Education Press)(in Chinese)汪小帆,李翔,陈关荣2012网络科学 导论(北京:高等教育出版社)
[46] Zhao Q 2021 M.S. Thesis (Beijing:Beijing University of Posts and Telecommunications)(in Chinese)赵晴2021硕士学位论文(北京:北京邮 电大学)
[47] Shi H J, Shi L 2009 CIESC J. 60 1500(in Chinese)石海佳,石磊2009化工学 报60 1500
[48] Li J M, Zhang N 2008 Cmplx. Syst. Complex. Sci. 72(in Chinese)李季明,张 宁2008复杂系统与复杂性科学72
[49] Orenstein P 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management Beer Sheva, Israel, February 15-18, 2016 p562
[50] Yang Y, Poon J P, Liu Y, Bagchi-Sen S 2015 Energy 93 534
[51] Kang L, Wu W Z, Yu H, Su F Z 2022 Sensors 22 5889
[52] Sun J Y, Wei P F, Wang W 2015 J. Xi'an Univ. Technol. 31 391(in Chinese)孙 军艳,傅卫平,王雯2015西安理工大学学报31 391
[53] Bombelli A, Santos B F, Tavasszy L 2020 Transp. Res. E Logist. Transp. Rev. 138 101959
[54] Yang J L, Chen W 2023 Resour. Policy. 86 104277
[55] Yue X P, Mu D, Wang C, Ren H Y, Ghadimi P 2023 Int. J. Prod. Res. 61 2758
[56] Li Z F, Li H W, Zhang Q Q, Qi X L 2024 Ocean Coast. Manag. 248 106969
[57] Yuan X J, Ge C B, Liu Y P, Li N, Wang Y 2022 Sustainability 14 16059
[58] Xia Q F, Du D B, Cao W P, Li X Y 2023 Resour. Policy. 82 103532
[59] Zhao G M, Li W X, Geng Y, Bleischwitz R 2023 Resour. Policy. 85 103815
[60] Tan D, Ma S T 2022 Econ. Geography 42 110(in Chinese)谭丹,马顺甜2022 经济地理42 110
[61] Zuo Z L, McLellan B C, Li Y L, Guo H X, Cheng J H 2022 Resour. Policy. 78 102912
[62] Xu M Q, Pan Q, Muscoloni A, Xia H X, Cannistraci C V 2020 Nat. Commun. 11 2849
[63] Lü L Y, Chen D B, Ren X L, Zhang Q M, Zhang Y C, Zhou T 2016 Phys. Rep. 650 1
[64] Ren X L, Lü L Y 2014 Chin. Sci. Bull. 59 1175(in Chinese)任晓龙,吕琳媛 2014科学通报59 1175
[65] Yu M Y, Lü K F, Ruan Y P 2022 System Eng. Theor. Prac. 42 1796(in Chinese)于明洋,吕可夫,阮永平2022系统工程理论与实践42 1796
[66] Perera S, Bell M G, Bliemer M C 2017 Appl. Netw. Sci. 2 1
[67] Guo Y Q, Zhao B Y, Zhang H W 2023 Energy 263 125912
[68] Zhu J F, Liu W, Yang Y B 2023 J. Mar. Sci. Eng. 11 724
[69] Mizgier K J, Jüttner M P, Wagner S M 2013 Int. J. Prod. Res. 51 1477
[70] Basole R C, Ghosh S, Hora M S 2017 IEEE T. Eng. Manage. 65 141
[71] Bonacich P 1987 Am. J. Sociol. 92 1170
[72] Shi J Y, Liu X, Li Y X, Yu C H, Han Y S 2022 Int. Rev. Financ. Anal. 80 102040
[73] Liu R X 2022 M.S. Thesis (Chengdu:Southwestern University of Finance and Economics)(in Chinese)刘若曦2022硕士学位论文(成都:西南财经大学)
[74] Lavassani K M, Movahedi B 2021 Int. J. Glob. Bus. 16 86
[75] Shi J Y, Yang J H, Li Y X 2019 J. Bus. Econ. Manag. 20 1258
[76] Huang H S, Zhang J P, Yan J, Gong Y, Wang L K 2024 Eur. J. Innov. Manag. 27 551
[77] Lou P, Chen Y T, Yan J W 2020 IEEE Access 8 148827
[78] Blondel V D, Guillaume J L, Lambiotte R, Lefebvre E 2008 J. Stat. Mech.: Theory Exp. 2008 P10008
[79] Newman M E, Girvan M 2004 Phys. Rev. E 69 026113
[80] Ng A, Jordan M, Weiss Y 2001 Advances in Neural Information Processing Systems Vancouver, British Columbia, Canada, December 3-8, 2001 p849
[81] Rosvall M, Bergstrom C T 2007 arXiv:0707.0609[physics.soc-ph] 3
[82] Zhang Q, Pu S H, Yin M 2023 J. Mar. Sci. Eng. 11 1585
[83] Kito T, Brintrup A, New S, Reed-Tsochas F 2014 Saïd Business School WP 3
[84] Leicht E A, Newman M E 2008 Phys. Rev. Lett. 100 118703
[85] Wiedmer R, Griffis S E 2021 J. Bus. Logist. 42 264
[86] Shi D Y, Shang F, Chen B S, Expert P, Lü L Y, Stanley H E, Lambiotte R, Evans T S, Li R Q 2024 Commun. Phys. 7 170
[87] Ma'arif M R 2016 Sixth International Annual Engineering Seminar Yogyakarta, Indonesia, August 1-3, 2016 p206
[88] Chakraborty T, Chauhan S S, Ouhimmou M 2020 Int. J. Prod. Res. 58 3618
[89] Hu X Q, Wang C, Zhu X Y, Yao C Y, Ghadimi P 2021 Resour., Conserv. Recycl. 170 105591
[90] Wang W Y, Fan L W, Zhou P 2022 Energy 238 121924
[91] Chen G, Kong R, Wang Y X 2020 Physica A 540 123002
[92] Zhong W Q, An H Z, Gao X Y, Sun X Q 2014 Physica A 413 42
[93] Zhong W Q, An H Z, Shen L, Dai T, Fang W, Gao X Y, Dong D 2017 Energy 123 260
[94] Zheng S X, Zhou X R, Xing W L, Zhao P 2022 Resour. Policy. 77 102783
[95] Li Y H, Zobel C W, Seref O, Chatfield D 2020 Int. J. Prod. Econ. 223 107529
[96] Shi X Q, Long W, Li Y Y, Deng D S 2022 Physica A 586 126518
[97] Li Y H, Zobel C W 2020 Int. J. Prod. Econ. 228 107693
[98] Zhao Z G, Zhou G G, Li H X 2019 Comput. Sci. 46 138(in Chinese)赵志刚, 周根贵,李虎雄2019计算机科学46 138
[99] Wang J P, Zhou H, Zhao Z, Sun X L 2023 Fourth International Conference on Computer Engineering and Application Hangzhou, China, April 7-9, 2023 p61
[100] Xie T Y, Kang K, Wang J J, Zhang X L 2018 J. Math. Prac. Theor. 48 40(in Chinese)谢廷宇,康凯,王军进,张学龙2018数学的实践与认识48 40
[101] Zhao K, Scheibe K, Blackhurst J, Kumar A 2018 IEEE T. Eng. Manage. 66 127
[102] Xu X B, Li H 2015 Syst. Eng. 33 17(in Chinese)徐翔斌,李恒2015系统工 程33 17
[103] Nair A, Vidal J M 2011 Int. J. Prod. Res. 49 1391
[104] Wei N, Xie W J, Zhou W X 2022 Energy 251 123939
[105] Sun J Y, Tang J M, Fu W P, Chen Z R, Niu Y R 2020 Comput. Ind. Eng. 144 106457
[106] Shahnazi R, Sajedianfard N, Melatos M 2023 Energy Rep. 10 2017
[107] Wen T, Gao Q Y, Chen Y W, Cheong K H 2022 Reliab. Eng. Syst. Safe. 226 108578
[108] Tan W J, Zhang A N, Cai W 2019 Int. J. Prod. Res. 57 6385
[109] Xu M Q, Deng W H, Zhu Y F, Linyuan L 2023 Reliab. Eng. Syst. Safe. 240 109576
[110] Xu X J, Zhu Y F, Xu M Q, Deng W H, Zuo Y Q 2022 Ocean Coast. Manag. 229 106325
[111] Xu M Q, Zhu Y F, Deng W H, Shen Y H, Li T 2024 Global Netw. 24 e12445
[112] Vugrin E D, Warren D E, Ehlen M A 2011 Process Saf. Prog. 30 280
[113] Turnquist M, Vugrin E 2013 Environ. Syst. Decis. 33 104
[114] Yildiz H, Yoon J, Talluri S, Ho W 2016 Decision Sci. 47 661
[115] Hosseini S, Barker K 2016 Comput. Ind. Eng. 93 252
[116] Hosseini S, Barker K 2016 Int. J. Prod. Econ. 180 68
[117] Bai X W, Ma Z J, Zhou Y M 2023 Transp. Res. E Logist. Transp. Rev. 170 103016
[118] Jin P F, Wang S G, Meng Z, Chen B 2023 Resour. Policy. 87 104339
[119] Yu Y, Ma D P, Zhu W W 2023 Resour. Policy. 83 103636
[120] Yu Y, Ma D P, Qian Y M 2023 Resour. Policy. 86 104296
[121] Kim Y, Chen Y S, Linderman K 2015 J. Oper. Manag. 33 43
[122] Azad N, Hassini E 2019 Eur. J. Oper. Res. 275 481
[123] Li Z Y, Zhao P X, Han X 2022 Physica A 589 126611
[124] Ponomarov S Y, Holcomb M C 2009 Int. J. Logist. Manag. 20 124
[125] Hethcote H W 2000 SIAM Rev. 42 599
[126] Yang K, Zhang Z Y 2013 J. Syst. Sci. Math. Sci. 33 1224(in Chinese)杨康,张 仲义2013系统科学与数学33 1224
[127] Yi H N 2015 M.S. Thesis (Chengdu:Southwest Jiaotong University)(in Chinese)易慧妮2015硕士学位论文(成都:西南交通大学)
[128] Berger N, Schulze-Schwering S, Long E, Spinler S 2023 Eur. J. Oper. Res. 304 1036
[129] Wang C, Huang X, Hu X Q, Zhao L F, Liu C, Ghadimi P 2021 Appl. Energy 290 116744
[130] Guo H Y, Cheng Y Y 2019 Physica A 529 121400
[131] Guo H Y, Cheng Y Y, Xie X X 2020 Physica A 545 123506
[132] Kang X Y, Wang M X, Chen L, Li X 2023 Resour. Policy. 85 103797
[133] Zheng S X, Zhou X R, Tan Z L, Zhang H, Liu C, Hao H C, Hu H, Cai X M, Yang H S, Luo W B 2022 Energy Sustain. Dev. 71 517
[134] Tang L, Jing K, He J, Stanley H E 2016 Physica A 443 58
[135] Ma J L 2016 Ph. D. Dissertation (Sian:Chang'an University)(in Chinese)马 靖莲2016博士学位论文(西安:长安大学)
[136] Yue X P, Mu D, Wang C, Ren H Y, Peng R, Du J B 2024 Reliab. Eng. Syst. Safe. 242 109728
[137] Wang Y, Zhang F 2018 Nonlinear Dynam. 92 1403
[138] Liu H, Han Y Y, Ni J L, Zhu A D 2022 Math. Probl. Eng. 2022 1
[139] Proselkov Y, Zhang J, Xu L, Hofmann E, Choi T Y, Rogers D, Brintrup A 2024 Int. J. Prod. Res. 62 823
[140] Inoue H, Todo Y 2019 Nat. Sustain. 2 841
[141] Shi X H 2012 M.S. Thesis (Hangzhou:Hangzhou Dianzi University)(in Chinese)石霞虹2012硕士学位论文(杭州:杭州电子科技大学)
[142] Sytch M, Kim Y, Page S 2022 Calif. Manage. Rev. 64 119
[143] Li Y H, Chen K D, Collignon S, Ivanov D 2021 Eur. J. Oper. Res. 291 1117
[144] Nash Jr J F 1950 Proc. Natl. Acad. Sci. U. S. A. 36 48
[145] Peng Y T, Xu D, Veglianti E, Magnaghi E 2023 J. Ind. Manag. Optim. 19 3459
[146] Chen Z B, Tian C Y, Zhang D, Chen D Y 2020 Oper. Res. 20 649
[147] Nagurney A, Loo J, Dong J, Zhang D 2002 Netnomics 4 187
[148] Nagurney A, Dong J, Zhang D 2002 Transp. Res. E Logist. Transp. Rev. 38 281
[149] Dong J, Zhang D 2002 Transportation and Traffic Theory in the 21st Century Adelaide, Australia, July 16-18, 2002 p179
[150] Dong J, Zhang D, Nagurney A 2004 Eur. J. Oper. Res. 156 194
[151] Dong J, Zhang D, Yan H, Nagurney A 2005 Ann. Oper. Res. 135 155
[152] Feyzian-Tary I, Razmi J, Sangari M S 2018 Ann. Oper. Res. 264 89
[153] He S X, Cui Y T 2023 Supply Chain Anal. 4 100039
[154] Von Stackelberg H 1952 The Theory of The Market Economy (London:Oxford University Press)
[155] Wang D P, Du G, Jiao R J, Wu R, Yu J P, Yang D 2016 Int. J. Prod. Econ. 172 1
[156] Fang Y J, Wu M N 2016 Stat. Decis. 49(in Chinese)房艳君,吴梦娜2016统计与决策49
[157] Tan J, Jiang G Q, Wang Z G 2019 Int. J. Intell. Inf. Technol. 15 54
[158] Daniele P 2010 Transp. Res. E Logist. Transp. Rev. 46 855
[159] Nagurney A 2021 Eur. J. Oper. Res. 293 880
计量
- 文章访问数: 135
- PDF下载量: 8
- 被引次数: 0
下载:
