New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq

Refineries and crude oil industries are amongst the most important revenue generators of oil-producing countries. Iraq is an oil-exporting country. Although it has many refineries to process and refine crude oil, it suffers from severe production crises that ravage it from time to time. This study a...

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Main Author:	Jasim, Al Saeedi Rafid Abdulmahdi
Format:	Thesis
Language:	English
Published:	2023
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/60422/1/AL%20SAEEDI%20RAFID%20ABDULMAHDI%20JASIM%20-%20TESIS%20cut.pdf
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id	my-usm-ep.60422
record_format	uketd_dc
spelling	my-usm-ep.604222024-04-24T08:23:31Z New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq 2023-01 Jasim, Al Saeedi Rafid Abdulmahdi QA75.5-76.95 Electronic computers. Computer science Refineries and crude oil industries are amongst the most important revenue generators of oil-producing countries. Iraq is an oil-exporting country. Although it has many refineries to process and refine crude oil, it suffers from severe production crises that ravage it from time to time. This study aims to optimise the scheduling, production planning and inventory control of multisite refineries located in Iraq. The study sample was taken from the Iraqi Midland Refineries (IMR) of the Iraqi Petroleum Company (IPC) company, which includes four refineries in four different sites in Iraq. In this research, different approaches based on fuzzy set theory are considered as demand and cost are explained as fuzzy. The parametric fuzzy linear programming (PFLP) problem is suggested on the basis of symmetric triangular fuzzy numbers (STFNs). Technically, this model involves three methods. The first method utilises the concept of the Spread Function (SF). We utilise two different functions of SFs to find the parameter values of λ and maximise the PFLP model. The second method is based on fractal analysis, where the fractional power λ of the fractal is the parameter used in our study. Lastly, the third method is based on fractional Tsallis entropy of order λ. Results indicate that the established models can deliver valuable information to the maximal profit production approach to evaluate oil refineries in a parametric fuzzy setting. 2023-01 Thesis http://eprints.usm.my/60422/ http://eprints.usm.my/60422/1/AL%20SAEEDI%20RAFID%20ABDULMAHDI%20JASIM%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Jasim, Al Saeedi Rafid Abdulmahdi New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
description	Refineries and crude oil industries are amongst the most important revenue generators of oil-producing countries. Iraq is an oil-exporting country. Although it has many refineries to process and refine crude oil, it suffers from severe production crises that ravage it from time to time. This study aims to optimise the scheduling, production planning and inventory control of multisite refineries located in Iraq. The study sample was taken from the Iraqi Midland Refineries (IMR) of the Iraqi Petroleum Company (IPC) company, which includes four refineries in four different sites in Iraq. In this research, different approaches based on fuzzy set theory are considered as demand and cost are explained as fuzzy. The parametric fuzzy linear programming (PFLP) problem is suggested on the basis of symmetric triangular fuzzy numbers (STFNs). Technically, this model involves three methods. The first method utilises the concept of the Spread Function (SF). We utilise two different functions of SFs to find the parameter values of λ and maximise the PFLP model. The second method is based on fractal analysis, where the fractional power λ of the fractal is the parameter used in our study. Lastly, the third method is based on fractional Tsallis entropy of order λ. Results indicate that the established models can deliver valuable information to the maximal profit production approach to evaluate oil refineries in a parametric fuzzy setting.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Jasim, Al Saeedi Rafid Abdulmahdi
author_facet	Jasim, Al Saeedi Rafid Abdulmahdi
author_sort	Jasim, Al Saeedi Rafid Abdulmahdi
title	New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
title_short	New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
title_full	New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
title_fullStr	New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
title_full_unstemmed	New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq
title_sort	new fuzzy parametric linear programming approaches for optimising the performance of crude oil companies in iraq
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2023
url	http://eprints.usm.my/60422/1/AL%20SAEEDI%20RAFID%20ABDULMAHDI%20JASIM%20-%20TESIS%20cut.pdf
_version_	1804888933403721728

New Fuzzy Parametric Linear Programming Approaches For Optimising The Performance Of Crude Oil Companies In Iraq

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