KEYWORDS: Data modeling, Manufacturing, Instrument modeling, Inspection, Statistical modeling, Inspection equipment, Control systems, Product engineering, Statistical analysis, Process control
A relationship model between manufacturing data and complex equipment quality is studied and constructed. Combined with the data formed in each link of the whole life cycle of complex equipment, this paper studies and reveals the impact of manufacturing data on the quality of complex equipment. Based on the regulated intermediary theory model, the basic model of the regulation and intermediary relationship between product data richness, product quality inspection standard severity, product manufacturing risk and product quality is studied and established, and the action mechanism of product data richness on the quality of complex equipment is revealed, Through the case study, it is proved that the product manufacturing risk plays an intermediary role in the formation mechanism of the relationship between product data richness and product quality, and the severity of product quality inspection standards plays a regulatory role in the relationship between product data richness and product manufacturing risk, which provides a data-driven theoretical method for the quality control of complex equipment.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.