Three-stage location-routing programming for heavy-duty railway maintenance machinery maintenance base based on multi-factor combined weights

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Abstract An imperative shift towards a scientific and methodical approach has become increasingly essential when deliberating the placement of maintenance bases for robust railway machinery dedicated to heavy-duty tasks. This article addresses the need for a systematic approach to placing maintenance bases for robust heavy-duty railway machinery. It introduces a meticulously crafted three-stage location-routing paradigm that factors in both qualitative and quantitative determinants. This approach optimizes routing strategies for the machinery while constructing an evaluative framework for base placement. An evaluative index is created by merging relevant qualitative and quantitative elements, using an enhanced game theory methodology combined with the evidential analytic hierarchy process and the entropy weight method to balance subjective and objective considerations. The model’s complexity is handled with an improved genetic algorithm and a hybrid ant colony algorithm, effectively addressing location and routing interactions. Practical implementation and case studies validate the model’s and algorithm’s efficacy, confirming their applicability in real-world scenarios.
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Three-stage location-routing programming for heavy-duty railway maintenance machinery maintenance base based on multi-factor combined weights | 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 Three-stage location-routing programming for heavy-duty railway maintenance machinery maintenance base based on multi-factor combined weights Shi Qiu, Bobo Yang, Qasim Zaheer, Weidong Wang, Ying Sun, Xianhua Liu, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3887938/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 An imperative shift towards a scientific and methodical approach has become increasingly essential when deliberating the placement of maintenance bases for robust railway machinery dedicated to heavy-duty tasks. This article addresses the need for a systematic approach to placing maintenance bases for robust heavy-duty railway machinery. It introduces a meticulously crafted three-stage location-routing paradigm that factors in both qualitative and quantitative determinants. This approach optimizes routing strategies for the machinery while constructing an evaluative framework for base placement. An evaluative index is created by merging relevant qualitative and quantitative elements, using an enhanced game theory methodology combined with the evidential analytic hierarchy process and the entropy weight method to balance subjective and objective considerations. The model’s complexity is handled with an improved genetic algorithm and a hybrid ant colony algorithm, effectively addressing location and routing interactions. Practical implementation and case studies validate the model’s and algorithm’s efficacy, confirming their applicability in real-world scenarios. Physical sciences/Engineering Physical sciences/Engineering/Civil engineering 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. 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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