An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics

Discrete Event simulation (DES), mathematical programming (MP) and analysis of variance (ANOVA) are among the popular tools in operational research (OR) used in dynamic industry like petroleum industry. The integration of these methods even becomes more significant to managerial application in the...

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Main Author:	Waleed Khalid, Abduljabbar
Format:	Thesis
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/17816/1/An%20integrated%20decision%20support%20system%20based%20on%20simulation%20and%20mathematical%20programming%20of%20Petroleum%20transportation%20logistics.pdf
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spelling	my-ump-ir.178162023-03-23T07:25:25Z An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics 2011 Waleed Khalid, Abduljabbar T Technology (General) Discrete Event simulation (DES), mathematical programming (MP) and analysis of variance (ANOVA) are among the popular tools in operational research (OR) used in dynamic industry like petroleum industry. The integration of these methods even becomes more significant to managerial application in the industry. The objective of this thesis is to present an integrated decision support system by which a decision maker should be able to choose the optimal number of tanks, tank size and truck arrival rate to maximize average total profit and minimize the total transportation cost for an oil refinery terminal operations. The petroleum transportation management system (PTMS) is developed as a DSS using a discrete-event simulation program with ARENA software, mathematical linear programming (LP) with I-Log software and analysis of variance (ANOVA) with SPSS software, and these models are combined in complex program developed using visual basic software (VB). The simulation model represents the logistics operations from oil arriving to the refinery terminal to the supply points. The model process used as a decision support tool to help in evaluating and improving the comprehensive oil terminal operations. And also understanding and assessing of the different steps in a simulation process. An optimization model was formulated with the objective to minimize the total transportation cost. In the model formulation, hard constraints were considered and the linear programming (LP) technique was used. Result obtained suggests the use of certain types of trucks can reduce the operation costs, if compared to that of the current situation. The reduction of costs is due to the reduction of travelling trips as based on the problem constraints. Overall, output of this study has given positive impacts on the transportation operations. The effect of the changes can help the management of the transportation company to make efficient decisions. Multifactor ANOVA is used to determine whether different levels of the three-factors and their interactions significantly impact the oil refinery terminal's profit. ANOVA is also used to determine the flow rate of oil into the tanks station; tank and truck fill rate and a cost and revenue structure. The final step is to expand the model to cover the whole models (DES, LP and ANOVA) and create the integrated user interface. To sum up the combination of these techniques which allows evaluating the actual feasibility of supply planning considering all operations restrictions and variability of the supply logistics and the total transportation cost. In another words, a DSS have been developed to support a decision maker, who is planning to build a new facility or expand an existing oil refinery terminal, should be able to choose the optimal value for all important factors. The PTMS is able to predict with 99% confidence a set of factor levels that yields the highest average total profit. 2011 Thesis http://umpir.ump.edu.my/id/eprint/17816/ http://umpir.ump.edu.my/id/eprint/17816/1/An%20integrated%20decision%20support%20system%20based%20on%20simulation%20and%20mathematical%20programming%20of%20Petroleum%20transportation%20logistics.pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Technology Mat Tahar, Razman
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mat Tahar, Razman
topic	T Technology (General)
spellingShingle	T Technology (General) Waleed Khalid, Abduljabbar An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
description	Discrete Event simulation (DES), mathematical programming (MP) and analysis of variance (ANOVA) are among the popular tools in operational research (OR) used in dynamic industry like petroleum industry. The integration of these methods even becomes more significant to managerial application in the industry. The objective of this thesis is to present an integrated decision support system by which a decision maker should be able to choose the optimal number of tanks, tank size and truck arrival rate to maximize average total profit and minimize the total transportation cost for an oil refinery terminal operations. The petroleum transportation management system (PTMS) is developed as a DSS using a discrete-event simulation program with ARENA software, mathematical linear programming (LP) with I-Log software and analysis of variance (ANOVA) with SPSS software, and these models are combined in complex program developed using visual basic software (VB). The simulation model represents the logistics operations from oil arriving to the refinery terminal to the supply points. The model process used as a decision support tool to help in evaluating and improving the comprehensive oil terminal operations. And also understanding and assessing of the different steps in a simulation process. An optimization model was formulated with the objective to minimize the total transportation cost. In the model formulation, hard constraints were considered and the linear programming (LP) technique was used. Result obtained suggests the use of certain types of trucks can reduce the operation costs, if compared to that of the current situation. The reduction of costs is due to the reduction of travelling trips as based on the problem constraints. Overall, output of this study has given positive impacts on the transportation operations. The effect of the changes can help the management of the transportation company to make efficient decisions. Multifactor ANOVA is used to determine whether different levels of the three-factors and their interactions significantly impact the oil refinery terminal's profit. ANOVA is also used to determine the flow rate of oil into the tanks station; tank and truck fill rate and a cost and revenue structure. The final step is to expand the model to cover the whole models (DES, LP and ANOVA) and create the integrated user interface. To sum up the combination of these techniques which allows evaluating the actual feasibility of supply planning considering all operations restrictions and variability of the supply logistics and the total transportation cost. In another words, a DSS have been developed to support a decision maker, who is planning to build a new facility or expand an existing oil refinery terminal, should be able to choose the optimal value for all important factors. The PTMS is able to predict with 99% confidence a set of factor levels that yields the highest average total profit.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Waleed Khalid, Abduljabbar
author_facet	Waleed Khalid, Abduljabbar
author_sort	Waleed Khalid, Abduljabbar
title	An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
title_short	An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
title_full	An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
title_fullStr	An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
title_full_unstemmed	An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics
title_sort	integrated decision support system based on simulation and mathematical programming of petroleum transportation logistics
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Technology
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/17816/1/An%20integrated%20decision%20support%20system%20based%20on%20simulation%20and%20mathematical%20programming%20of%20Petroleum%20transportation%20logistics.pdf
_version_	1783732022867394560

An integrated decision support system based on simulation and mathematical programming of Petroleum transportation logistics

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