Abstract
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.
Highlights
Complex products reflect the development level of modern high-tech industries and serve as an essential symbol of a country’s technological strength, including aircraft, highspeed trains, rockets, satellites, and other products and systems. e characteristics of complex products contain complex technology, strict quality requirements, high development risk, and complex project management
E associated companies in the value chain form a complex product collaborative manufacturing supply chain network. e development and production of Boeing 777 and Airbus A380 is a good start for this mode
In a complex product collaborative manufacturing supply chain network, the quality of the final product is closely related to quality risks of each node in the supply chain. ere are various uncertain risk factors inside and outside enterprises. e risk factors that may affect product quality and cause quality accidents are quality risk factors
Summary
Complex products reflect the development level of modern high-tech industries and serve as an essential symbol of a country’s technological strength, including aircraft, highspeed trains, rockets, satellites, and other products and systems. e characteristics of complex products contain complex technology, strict quality requirements, high development risk, and complex project management. In addition to the incalculable indirect losses, these crashes created acute crisis of trust between the customers and Boeing It can be seen from the complex product quality accidents which have occurred in recent years that the main manufacturer-suppliers mode improves the efficiency of complex product development, as well as increases the complexity of the supply chain network and the difficulty of quality risk management. En, we apply the SoV to analyze the quality risk propagation mechanism of the complex product collaborative manufacturing supply chain network and identify key quality risk factors. We summarize the paper and present the future research directions
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
