Decision Analytics for Operations Management: An Interval-Valued Spherical Fuzzy Framework for Evaluating Inventory Management Platforms

Decision Analytics for Operations Management: An Interval-Valued Spherical Fuzzy Framework for Evaluating Inventory Management Platforms | 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 Decision Analytics for Operations Management: An Interval-Valued Spherical Fuzzy Framework for Evaluating Inventory Management Platforms Alptekin Ulutaş, Ömer Faruk Görçün, Fatih Ecer, Darjan Karabasevic, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8291203/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Purpose: Evaluating inventory management systems is a critical decision-making problem for businesses in almost every industry, as it significantly affects their business models and operational processes. Nevertheless, essential gaps in the relevant literature still need to be addressed. To fill the gaps, the current paper introduces an interval-valued spherical fuzzy (IVSF) decision tool based on preference selection index (PSI) and operational competitiveness ratings analysis (OCRA) methods for evaluating inventory management system platforms. Design/methodology/approach : One of the primary novelties of the work is to develop IVSF-PSI and IVSF-OCRA models, thus proposing IVSF-PSI-OCRA methodology for the first time in the literature for challenging decision-making problems. A case study on inventory management platform evaluation presents the suggested approach's applicability. IVSF-PSI is performed to determine the criteria weights, whereas IVSF-OCRA is employed to decide platforms’ rankings. Findings : The analysis results highlight that the weights of the 24 evaluation criteria are close. The first alternative is the best among the six options, followed by the third and second. The research findings particularly emphasize the complexity of inventory management systems and the multidimensional nature of evaluation criteria. Furthermore, the conclusions of an extensive robustness check confirm the validity and reliability of the suggested model. Originality/value : Developing IVSF-PSI, IVSF-OCRA, and IVSF-PSI-OCRA methodologies is the essential contribution of the study. Another significant contribution is applying the proposed model in evaluating the inventory management system. The research provides an innovative and multidimensional evaluation approach to selecting inventory management systems, valuable contributions for research community members focusing on the relevant literature, and for industry decision-makers. Research implications : The proposed methodology enhances the economic decision-making process in supply chains by facilitating a cost-efficient selection of inventory management platforms, enabling businesses to improve operational performance, minimize procurement and warehousing costs, and better align their supply-demand processes. Production economics operational efficiency inventory turnover inventory management systems interval-valued spherical fuzzy sets MCDM Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 25 Dec, 2025 Reviews received at journal 24 Dec, 2025 Reviews received at journal 22 Dec, 2025 Reviewers agreed at journal 20 Dec, 2025 Reviewers agreed at journal 20 Dec, 2025 Reviewers agreed at journal 19 Dec, 2025 Reviewers invited by journal 18 Dec, 2025 Editor assigned by journal 14 Dec, 2025 Submission checks completed at journal 11 Dec, 2025 First submitted to journal 05 Dec, 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. 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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-8291203","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":563516089,"identity":"9e5882ed-845c-428b-a419-595c206a30cc","order_by":0,"name":"Alptekin Ulutaş","email":"","orcid":"","institution":"Faculty of Economics and Administrative Sciences, Inonu University","correspondingAuthor":false,"prefix":"","firstName":"Alptekin","middleName":"","lastName":"Ulutaş","suffix":""},{"id":563516090,"identity":"3180b33d-bd6b-4a56-9d91-fe8a88257566","order_by":1,"name":"Ömer Faruk Görçün","email":"","orcid":"","institution":"Department of 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