Network evolution model for supply chain with manufactures as the core

被引:15
作者
Fang, Haiyang [1 ]
Jiang, Dali [1 ]
Yang, Tinghong [1 ,2 ]
Fang, Ling [2 ]
Yang, Jian [2 ]
Li, Wu [3 ]
Zhao, Jing [2 ,4 ]
机构
[1] Army Logist Univ, Dept Mil Logist, Chongqing, Peoples R China
[2] Army Logist Univ, Dept Math, Chongqing, Peoples R China
[3] Army Logist Univ, Dept Mil POL, Chongqing, Peoples R China
[4] Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Complex Res, Shanghai, Peoples R China
关键词
COOPERATION; MANAGEMENT; DYNAMICS;
D O I
10.1371/journal.pone.0191180
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Building evolution model of supply chain networks could be helpful to understand its development law. However, specific characteristics and attributes of real supply chains are often neglected in existing evolution models. This work proposes a new evolution model of supply chain with manufactures as the core, based on external market demand and internal competition-cooperation. The evolution model assumes the external market environment is relatively stable, considers several factors, including specific topology of supply chain, external market demand, ecological growth and flow conservation. The simulation results suggest that the networks evolved by our model have similar structures as real supply chains. Meanwhile, the influences of external market demand and internal competition-cooperation to network evolution are analyzed. Additionally, 38 benchmark data sets are applied to validate the rationality of our evolution model, in which, nine manufacturing supply chains match the features of the networks constructed by our model.
引用
收藏
页数:28
相关论文
共 53 条
[1]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[2]  
Baron O, 2008, DECISION SCI
[3]   Computational Analysis and Visualization of Global Supply Network Risks [J].
Basole, Rahul C. ;
Bellamy, Marcus A. ;
Park, Hyunwoo ;
Putrevu, Jagannath .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (03) :1206-1213
[4]   Supply Network Structure, Visibility, and Risk Diffusion: A Computational Approach [J].
Basole, Rahul C. ;
Bellamy, Marcus A. .
DECISION SCIENCES, 2014, 45 (04) :753-789
[5]  
Boyaci T, 2004, PROD OPER MANAG, V13, P3, DOI 10.1111/j.1937-5956.2004.tb00141.x
[6]  
Brown JH, 2004, ECOLOGY, V85, P1771, DOI 10.1890/03-9000
[7]   Competitive and cooperative inventory policies in a two-stage supply chain [J].
Cachon, GP ;
Zipkin, PH .
MANAGEMENT SCIENCE, 1999, 45 (07) :936-953
[8]  
[曹文彬 Cao Wenbin], 2016, [计算机应用研究, Application Research of Computers], V33, P75
[9]  
[陈晓 CHEN Xiao], 2008, [复杂系统与复杂性科学, Complex Systems and Complexity Science], V5, P54
[10]   The impacts of RFID implementation on reducing inventory inaccuracy in a multi-stage supply chain [J].
Dai, Hongyan ;
Tseng, Mitchell M. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 139 (02) :634-641