Research and Application of High-Value Cutting Tool Remanufacturability Evaluation Based on Entropy-Weight Method and Set Pair Analysis

Research and Application of High-Value Cutting Tool Remanufacturability Evaluation Based on Entropy-Weight Method and Set Pair Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Research and Application of High-Value Cutting Tool Remanufacturability Evaluation Based on Entropy-Weight Method and Set Pair Analysis Leijie Fu, Yv Bai, Hui Yao, Yan Cao, Pengjun Zuo, Fuyang Du, Xiaoqing Hu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7560974/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Dec, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract In response to the multi-criteria and uncertainty characteristics of high-value metal cutting tool remanufacturing, a combination of set pair analysis theory and in-formation entropy is applied to evaluate the remanufacturability of high-value tools. First, considering the remanufacture characteristics of high-value cutting tools, nine indicators are selected as evaluation metrics from the perspectives of economy, technology, and environment. Second, set pair analysis is introduced into the remanufacturability evaluation, analyzing the remanufacturability of high-value tools from the perspectives of similarity, difference, and opposition, and a set pair system is constructed for the evaluation indicators and grading standards. Then, the remanufacturability indicators are classified into two categories: benefittype indicators and costtype indicators. Based on set pair analysis, the association degree of each indicator is calculated. Information entropy theory is introduced to compute the objective weight of the evaluation indicators and is coupled into the association degree of each indicator, thereby constructing an entropy-weighted set pair comprehensive linkage evaluation model for remanufacturability. Finally, the remanufacturability level is determined based on confidence identification criteria. A case study is conducted using five worn metal cutting tools, and the evaluation results are found to be in good agreement with the actual processing conditions. The analysis results indicate that the remanufacturability evaluation model based on set pair analysis can effectively address the multi-criteria and uncertainty in remanufacturability evaluation. The use of entropy-weighting to determine indicator weights improves the objectivity of the evaluation. The introduction of confidence criteria for determining remanufacturability levels effectively compensates for the distortion of evaluation results caused by the maximum membership principle. This method provides a reasonable evaluation process and reliable results, offering a new approach for evaluating the remanufacturability of high-value tools. Physical sciences/Engineering Physical sciences/Mathematics and computing remanufacturability evaluation high-value cutting tool remanufacturing entropy-weight method set pair analysis carbon emission calculation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 01 Dec, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 06 Oct, 2025 Reviews received at journal 03 Oct, 2025 Reviews received at journal 25 Sep, 2025 Reviewers agreed at journal 23 Sep, 2025 Reviewers agreed at journal 19 Sep, 2025 Reviewers invited by journal 19 Sep, 2025 Editor invited by journal 10 Sep, 2025 Editor assigned by journal 09 Sep, 2025 Submission checks completed at journal 08 Sep, 2025 First submitted to journal 08 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7560974","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":522012791,"identity":"9357c168-02fe-430b-98e2-6f58500cf0f5","order_by":0,"name":"Leijie Fu","email":"","orcid":"","institution":"Xi’an Technological University","correspondingAuthor":false,"prefix":"","firstName":"Leijie","middleName":"","lastName":"Fu","suffix":""},{"id":522012792,"identity":"cb8c93ce-1767-4a5d-a76e-8ae5b2d4fcab","order_by":1,"name":"Yv Bai","email":"","orcid":"","institution":"Xi’an Technological 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First, considering the remanufacture characteristics of high-value cutting tools, nine indicators are selected as evaluation metrics from the perspectives of economy, technology, and environment. Second, set pair analysis is introduced into the remanufacturability evaluation, analyzing the remanufacturability of high-value tools from the perspectives of similarity, difference, and opposition, and a set pair system is constructed for the evaluation indicators and grading standards. Then, the remanufacturability indicators are classified into two categories: benefittype indicators and costtype indicators. Based on set pair analysis, the association degree of each indicator is calculated. Information entropy theory is introduced to compute the objective weight of the evaluation indicators and is coupled into the association degree of each indicator, thereby constructing an entropy-weighted set pair comprehensive linkage evaluation model for remanufacturability. Finally, the remanufacturability level is determined based on confidence identification criteria. A case study is conducted using five worn metal cutting tools, and the evaluation results are found to be in good agreement with the actual processing conditions. The analysis results indicate that the remanufacturability evaluation model based on set pair analysis can effectively address the multi-criteria and uncertainty in remanufacturability evaluation. The use of entropy-weighting to determine indicator weights improves the objectivity of the evaluation. The introduction of confidence criteria for determining remanufacturability levels effectively compensates for the distortion of evaluation results caused by the maximum membership principle. This method provides a reasonable evaluation process and reliable results, offering a new approach for evaluating the remanufacturability of high-value tools.\u003c/p\u003e","manuscriptTitle":"Research and Application of High-Value Cutting Tool Remanufacturability Evaluation Based on Entropy-Weight Method and Set Pair Analysis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-01 11:33:41","doi":"10.21203/rs.3.rs-7560974/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-10-06T13:34:49+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-03T06:35:27+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-25T09:29:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"97792142796695417442638785855973332379","date":"2025-09-23T05:01:36+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"267072731109775212621559081618872401618","date":"2025-09-19T16:44:04+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-19T06:30:26+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-09-10T10:44:29+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-09T05:46:42+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-08T12:05:20+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-09-08T07:01:41+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"1a24d3be-7032-41aa-90f8-a7d94274c1d6","owner":[],"postedDate":"October 1st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":55478405,"name":"Physical sciences/Engineering"},{"id":55478406,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2025-12-08T16:05:59+00:00","versionOfRecord":{"articleIdentity":"rs-7560974","link":"https://doi.org/10.1038/s41598-025-30006-4","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2025-12-01 15:57:55","publishedOnDateReadable":"December 1st, 2025"},"versionCreatedAt":"2025-10-01 11:33:41","video":"","vorDoi":"10.1038/s41598-025-30006-4","vorDoiUrl":"https://doi.org/10.1038/s41598-025-30006-4","workflowStages":[]},"version":"v1","identity":"rs-7560974","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7560974","identity":"rs-7560974","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}