{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:45:46Z","timestamp":1776811546037,"version":"3.51.2"},"reference-count":20,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,1,26]]},"abstract":"<jats:p>Aiming at the selection of modern auto parts design schemes, an evaluation method of automobile parts design scheme for intelligent manufacturing is proposed. Considered the environment-friendly factors and traditional manufacturing factors, the evaluation index system of automobile parts design scheme was established, which taken technology, environment, economy and quality reliability as the first level evaluation index, and 12 second level indexes under the first level index. The game theory method was used to comprehensively consider the proportion of subjective and objective weights to determine the composite weight of each index. Aimed at the certainty and uncertainty of the evaluation index, the set pair analysis relative closeness method was used to calculate the composite weight and established the model. Three sets of automobile panel design schemes of a company were selected, and the mathematical model was used to calculate them. With the help of C language program, the advantages and disadvantages of the three design schemes were evaluated, and the optimal scheme was obtained. The calculation example proves that the method is true and effective, conforms to the background of modern intelligent manufacturing, and the calculation is simple, and has good feasibility and practicability.<\/jats:p>","DOI":"10.3233\/jcm-215878","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T12:08:50Z","timestamp":1639483730000},"page":"175-187","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of automobile parts design scheme for intelligent manufacturing"],"prefix":"10.66113","volume":"22","author":[{"given":"Jian","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoqiong","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"key":"10.3233\/JCM-215878_ref2","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.ijpe.2019.01.004","article-title":"Industry 40 technologies: Implementation patters in manufacturing companies","volume":"210","author":"Frank","year":"2019","journal-title":"International Journal of Production Economics."},{"key":"10.3233\/JCM-215878_ref3","first-page":"1042","article-title":"An integrated multi-criteria group decision-making approach to efficient supplier selection and clustering using fuzzy preference relation","author":"Ertay","year":"2019","journal-title":"International Journal of Computer Integrated Manufacturing."},{"issue":"5","key":"10.3233\/JCM-215878_ref4","first-page":"91","article-title":"Grey correlation evaluation of rocket power system performance based on combination weighting","volume":"40","author":"Han","year":"2015","journal-title":"Firepower and Command and Control."},{"issue":"2","key":"10.3233\/JCM-215878_ref5","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1504\/IJHVS.2017.083088","article-title":"Model based concept evaluation with respect to customer specific usage profiles","volume":"24","author":"Christian","year":"2017","journal-title":"Int J of Heavy Vehicle Systems."},{"issue":"2","key":"10.3233\/JCM-215878_ref6","first-page":"187","article-title":"Fuzzy comprehensive evaluation of relay protection status of intelligent substation based on combination weighting","author":"Fu","year":"2018","journal-title":"Internal Combustion Engine and Accessories."},{"issue":"7","key":"10.3233\/JCM-215878_ref7","first-page":"136","article-title":"Design and application of wheel processing automation production line based on intelligent network system","author":"Yuan","year":"2019","journal-title":"Mechanical Design."},{"issue":"3","key":"10.3233\/JCM-215878_ref9","first-page":"269","article-title":"Evaluation of automobile parts design scheme for manufacturing","author":"Zhang","year":"2019","journal-title":"Mechanical Design and Manufacturing."},{"issue":"7","key":"10.3233\/JCM-215878_ref10","first-page":"107","article-title":"Evaluation of automobile parts design scheme based on TOPSIS","author":"Zhang","year":"2020","journal-title":"Mechanical Design."},{"key":"10.3233\/JCM-215878_ref11","doi-asserted-by":"crossref","unstructured":"Fuzzy sliding mode control with state estimation for velocity control system of hydraulic cylinder using a new hydraulic transformer. 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Onesided offsetting and smoothing algorithm for complex 3D trimming curve of trimming insert steel for automotive panels. International Journal of Computer Integrated Manufacturing. 2020; 33(12).","DOI":"10.1080\/0951192X.2020.1815848"},{"key":"10.3233\/JCM-215878_ref22","unstructured":"Materials Science Composite Materials; New Findings on Composite Materials Described by Investigators at Alma Mater Studiorum University of Bologna (On the Modal Behaviour of Ultralight Composite Sandwich Automotive Panels). 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