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Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions

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dc.contributor.author Zhumadillayeva, Ainur
dc.contributor.author Orazbayev, Batyr
dc.contributor.author Santeyeva, Saya
dc.contributor.author Dyussekeyev, Kanagat
dc.contributor.author Man Li, Rita Yi
dc.contributor.author Crabbe, M. James C.
dc.contributor.author Yue, Xiao-Guang
dc.date.accessioned 2024-11-27T04:57:41Z
dc.date.available 2024-11-27T04:57:41Z
dc.date.issued 2020
dc.identifier.issn 0345-5300
dc.identifier.other doi:10.3390/info11060299
dc.identifier.uri http://rep.enu.kz/handle/enu/19381
dc.description.abstract This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering environmental standards that apply to the field of macroeconomics and microeconomics. The proposed approach used MANAGER software to formalise and solve the problem of revenue optimisation with production waste management to optimise the production of oil products with waste management at a specific technological facility of the Atyrau oil refinery in Kazakhstan. Based on the combined application of the principles of maximin and Pareto optimality, a formulation of the problem of production optimisation with waste management was obtained and a heuristic algorithm for solving the formulated fuzzy optimisation problem with waste management was developed. ru
dc.language.iso en ru
dc.publisher Information ru
dc.relation.ispartofseries 11;299
dc.subject mathematical model ru
dc.subject optimisation ru
dc.subject sustainable waste management ru
dc.subject mathematical programming ru
dc.subject economic and environmental system ru
dc.subject fuzzy information ru
dc.subject heuristic method ru
dc.subject maximin principle ru
dc.subject Pareto optimality principle ru
dc.title Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions ru
dc.type Article ru


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