Development of Multi-Objective Production Scheduling Fuzzy Algorithm in Manufacturing

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This paper introduces the Compact Mamdani Fuzzy Inference System (CMFIS), a simplified fuzzy logic tool for job shop scheduling in small and medium-sized enterprises that integrates with Microsoft Excel.

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Abstract Several methods exist to schedule specific workpieces in a manufacturing system. Large multinational companies usually apply worldwide automated scheduling systems to provide optimal manufacturing parameters and fulfil the requirements of the lean method. In contrast, an average small-medium sized enterprise (SME) has limited financial and technical resources to complete this task. This paper proposes an ultimately simplified fuzzy inference system, the Compact Mamdani Fuzzy Inference System (CMFIS), to help the scheduling tasks in SMEs. The CMFIS does not require special fuzzy logic knowledge and communicates with the user via Microsoft Excel worksheets. The paper introduces the CMFIS itself and its job shop application as well.
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Development of Multi-Objective Production Scheduling Fuzzy Algorithm in Manufacturing | 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 Development of Multi-Objective Production Scheduling Fuzzy Algorithm in Manufacturing Attila Piros This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4607659/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 Several methods exist to schedule specific workpieces in a manufacturing system. Large multinational companies usually apply worldwide automated scheduling systems to provide optimal manufacturing parameters and fulfil the requirements of the lean method. In contrast, an average small-medium sized enterprise (SME) has limited financial and technical resources to complete this task. This paper proposes an ultimately simplified fuzzy inference system, the Compact Mamdani Fuzzy Inference System (CMFIS), to help the scheduling tasks in SMEs. The CMFIS does not require special fuzzy logic knowledge and communicates with the user via Microsoft Excel worksheets. The paper introduces the CMFIS itself and its job shop application as well. Physical sciences/Engineering/Mechanical engineering Physical sciences/Mathematics and computing/Applied mathematics Full Text Additional Declarations No competing interests reported. Supplementary Files CMFISv90.zip 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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