Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV
The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product qual...
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Format: | Article |
Language: | English |
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Wiley
2020-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2020/8889903 |
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author | Tengjiao Li Hongzhuan Chen Jie Yuan Jingye Qian Abdul Waheed Siyal |
author_facet | Tengjiao Li Hongzhuan Chen Jie Yuan Jingye Qian Abdul Waheed Siyal |
author_sort | Tengjiao Li |
collection | DOAJ |
description | The collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises. |
format | Article |
id | doaj-art-0959470e7b4a49cdb2a69097587b71cd |
institution | Kabale University |
issn | 1026-0226 1607-887X |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Discrete Dynamics in Nature and Society |
spelling | doaj-art-0959470e7b4a49cdb2a69097587b71cd2025-02-03T06:43:43ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/88899038889903Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoVTengjiao Li0Hongzhuan Chen1Jie Yuan2Jingye Qian3Abdul Waheed Siyal4College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaThe collaborative development of complex products has gradually developed into a “main manufacturer-suppliers” mode, under which the manufacturing enterprises form a complex product collaborative manufacturing supply chain network. Quality risks which bring enormous hidden danger to the product quality can be propagated and accumulate along the supply chain. It is of great significance to quantify the propagation mechanism of quality risk between supply chain network nodes and identify the key quality risk factor that causes fluctuation of product quality. This study for the first time applies the SoV into the research on quality risk propagation of complex product collaborative manufacturing supply chain network. Firstly, this paper uses the CN to construct a complex product collaborative manufacturing supply chain network according to its characteristics. Secondly, on the basis of SoV, the quality risk propagation model is established. Thirdly, we put forward a method to identify the key quality risk factors of supply chain network based on the risk propagation effect. Lastly, a numerical simulation is given to verify the effectiveness of the model and its identification method. The results reveal that the quality risk propagation includes the vertical propagation within enterprises and the horizontal propagation from the lower-level enterprises to the upper-level enterprises of the supply chain. The quality risks of an enterprise are determined by its own quality risk factors and the quality risk passed by the lower-level enterprises.http://dx.doi.org/10.1155/2020/8889903 |
spellingShingle | Tengjiao Li Hongzhuan Chen Jie Yuan Jingye Qian Abdul Waheed Siyal Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV Discrete Dynamics in Nature and Society |
title | Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV |
title_full | Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV |
title_fullStr | Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV |
title_full_unstemmed | Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV |
title_short | Quality Risk Propagation of Complex Product Collaborative Manufacturing Supply Chain Network Based on CN and SoV |
title_sort | quality risk propagation of complex product collaborative manufacturing supply chain network based on cn and sov |
url | http://dx.doi.org/10.1155/2020/8889903 |
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