Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/6021
Title: Models for oil refinery waste management using determined and fuzzy conditions
Authors: Zhumadillayeva, Ainur 
Orazbayev, Batyr 
Santeyeva, Saya 
Dyussekeyev, Kanagat 
Dr. LI Yi Man, Rita 
Crabbe, M. James C. 
Yue, Xiao-Guang 
Issue Date: 2020
Source: Information, 2020, vol. 11(6), pp. 299.
Journal: Information 
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.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/6021
ISSN: 2078-2489
DOI: 10.3390/info11060299
Appears in Collections:Economics and Finance - Publication

Show full item record

SCOPUSTM   
Citations

3
checked on Dec 8, 2021

Page view(s)

16
Last Week
1
Last month
checked on Apr 14, 2021

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.