Fly Ash Allocation Problem Using Normalized Weight Goal Programming

Radika, Gery Alfian Ilham (2018) Fly Ash Allocation Problem Using Normalized Weight Goal Programming. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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In order to produce electricity Coal based Power Plant combust certain amount of coal inside the furnace. Besides producing electricity, this combustion process leaves some kind of residue called fly ash and bottom ash. Currently, Coal Power Plant owned by PLN, a state owned company, manages this residue by having them buried inside plant area. This action turns out to be a violation against the Government Regulation. This research tries to help PLN to map the potential usage of the fly ash and decide the best allocation so that the cost is minimized and the value is maximized. Therefore goal programming is employed to solve this problem. Before the allocation is done, fly ash is classified into several class to determine the potential usage because each requires different chemical composition. In this research the usage is limited into 3 potential, cement, geopolymer, and landfill. Since fly ash is included as Toxic and Hazardous Substance, a long distance transport is not economical due to higher cost to load dangerous materials. Therefore, the Power Plants are grouped into several clusters. Then, the potential users in each cluster are searched. From the result of calculation in 6 scenarios, there are around 38% to 54% of fly ashes allocated for the usage in cement industry, between 27% to 32% of fly ash for geopolymer product, and around 19% to 30% for landfill. The transportation cost to ship the fly ash to potential user is ranging from 87 billion to 146 billion Rupiah. It is found that the cost to transport fly ash for landfill usage contributes to half of the total cost even though the volume that is delivered is low. The reason is a lot of fly ash from Power Plant only can be used for landfill while the landfill location is far away across islands.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Allocation, Fly Ash, Goal Programming, Multi-objective, Optimization
Subjects: Q Science > QA Mathematics > QA184 Algebra, Linear
Q Science > QA Mathematics > QA278.3 Structural equation modeling.
T Technology > T Technology (General) > T58.62 Decision support systems
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Gery Alfian Ilham Radika
Date Deposited: 27 Feb 2018 04:31
Last Modified: 04 May 2020 23:58

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