Analysis of Supplier Selection For Diesel Generators Using Analytic Hierarchy Process (AHP)

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This preprint analyzes supplier selection for diesel generators using the Analytic Hierarchy Process (AHP), aiming to identify key evaluation criteria and rank four diesel generator supplier alternatives. The authors develop a pairwise comparison matrix based on literature review and industry practices, calculate feature weights with AHP, and then combine these weights with the alternatives to determine the most suitable supplier option. A stated limitation is that the work is a preprint and not peer reviewed, and the abstract provides no detailed discussion of validation or real-world decision outcome comparisons. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Analysis of Supplier Selection For Diesel Generators Using Analytic Hierarchy Process (AHP) | 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 Research Article Analysis of Supplier Selection For Diesel Generators Using Analytic Hierarchy Process (AHP) Chukwuka Uboh, Friday Erhimudia Ukrakpor, Blessed Oghenetega Neville This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8112994/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research is aimed to conduct an analysis of supplier selection for diesel generators using Analytic Hierarchy Process (AHP) in order to identify and define the key criteria for selecting diesel generator suppliers, collect data from running generator in the community, apply AHP to evaluate and rank suppliers based on predefined criteria, analyze the results obtained from AHP technique and recommend the most suitable supplier selection based on the findings. The supplier selection process involves multiple conflicting criteria. Based on literature review and industry practices; the methodology for selecting a Diesel Generator using the Analytic hierarchy process (AHP) starts by setting a clear goal to buy a suitable Generator set. Next, four (4) top selling Diesel Generator options are identified as alternatives, and four key factors are chosen for evaluation. A pairwise comparison matrix is then developed to assess the relative importance of these features, and weights are calculated using the AHP technique. Finally, the weighted features are combined with the alternative options to determine the most suitable diesel generator set based on the calculated priorities. Mechanical Engineering Decision Sciences Diesel Generator Analytic Hierarchy Process (AHP) Multi-Criteria Decision Making (MCDM) Suppliers Selection Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. 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