Models for oil refinery waste management using determined and fuzzy conditions
Authors
Zhumadillayeva, AinurOrazbayеv, Batyr
Santeyeva, Saya
Dyussekeyev, Kanagat
Li, Rita Yi Man
Crabbe, M. James C.
Yue, Xiao-Guang
Affiliation
L.N.Gumilyov Eurasian National University, KazakhstanHong Kong Shue Yan University
Rajamangala University of Technology Rattanakosin, Thailand
Oxford University
University of Bedfordshire
Shanxi University, China
European University Cyprus
Polytechnic Institute of Porto
Siksha `O` Anusandhan University, india
Issue Date
2020-06-03Subjects
environmental management practicesenvironmental performance
environmental regulations
Subject Categories::F851 Applied Environmental Sciences
Metadata
Show full item recordAbstract
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.Citation
Zhumadillayeva A., Orazbayеv B., Santeyeva S., Dyussekeyev K., Li R.Y.M., Crabbe M.J.C., Yue X-G. (2020) 'Models for oil refinery waste management using determined and fuzzy conditions', Information, 11 (), pp.299-319.Publisher
MDPIJournal
InformationAdditional Links
https://www.mdpi.com/2078-2489/11/6/299Type
ArticleLanguage
enISSN
2078-2489EISSN
2078-2489ae974a485f413a2113503eed53cd6c53
10.3390/info11060299
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