Relationship Network Analysis of Manufacturing System Limited by Business Lines

Chen, Guorong; Deng, Juli; Yan, Ping

doi:10.11591/telkomnika.v10i6.1415

Cited by 1 publication

(1 citation statement)

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“…But there have been rare reports of complex network theories applied in manufacturing supply chain. Based on the preliminary studies [35], this paper will focus on the part supplier's optimal selecting problems and presents a core model for the part suppliers optimal selecting problems in manufacturing supply chain. It will describe the application problem in Section 2; analyze the shortcomings of two classical complex network models named BA model and WS model in Section 3; put forward a core model, discuss the designs and description of the model, and present the probability formula of selecting part suppliers in detail in Section 4; and simulate the model and analyze the characteristics in Section 5.…”

Section: Introductionmentioning

confidence: 99%

A Core Model for Parts Suppliers Selecting Method in Manufacturing Supply Chain

Chen

Zhao

Deng

2015

Mathematical Problems in Engineering

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Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.

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Section: Introductionmentioning

confidence: 99%