The Synergistic Measurement of Productivity in Operational Environments

The Synergistic Measurement of Productivity in Operational Environments | 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 The Synergistic Measurement of Productivity in Operational Environments Hisham Alidrisi, Omer Bafail, Mohammed Alamoudi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8240572/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 Productivity, a pivotal metric for appraising systemic performance, requires a holistic evaluation that critically integrates both efficiency and effectiveness. This study introduces a novel hybrid multi-criteria decision-making (MCDM) methodology to address the challenge of precise productivity measurement within the loading units of a sugar manufacturing plant. The framework integrates the Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II), and Data Envelopment Analysis (DEA) to comprehensively appraise 21 alternative solutions. The AHP facilitates the subjective determination of weight criteria. PROMETHEE II was used to assess effectiveness scores (quantifying goal attainment), whereas DEA measured efficiency scores (evaluating resource utilization). The Total Productivity Score was subsequently calculated as a weighted function of these two dimensions, revealing the optimal performance of Alternative 21. This analysis underscores the critical necessity of integrating effectiveness and efficiency for an accurate and nuanced assessment of productivity. The proposed hybrid MCDM approach presents a robust and adaptable framework for evaluating complex industrial systems, delivering valuable and structured insights that empower decision-makers to achieve measurable performance optimization. Physical sciences/Engineering Physical sciences/Mathematics and computing Productivity efficiency effectiveness performance assessment Full Text Additional Declarations No competing interests reported. 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. 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