Improving Crude Oil Supply Assignment Process Using Simulated Annealing Algorithm: Case Study in Indonesia

Muhammad, Fikri Irsyad (2018) Improving Crude Oil Supply Assignment Process Using Simulated Annealing Algorithm: Case Study in Indonesia. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Oil industry is one of the most profitable industry in the world, with considerably high level of income and margin profit, which imply that any improvement no matter how small could have a bigger impact than expected. For this research a case study is reviewed which focuses on a supply chain department of an oil refinery in East Indonesia. One of the responsibility of said department is to create a crude oil tank assignment plan. The current condition of the job is quite wasteful as the job is still done manually, thus taking very long time to complete. This research is aimed to improve the method of creating crude oil tanks assignment by utilizing an algorithm that will considerably reduce the computation time needed, as well as improving the crude composition target achievement. Simulated annealing algorithm is the chosen method of this research because of its capability to reliably solve a problem with large dataset in reasonable amount of time. From 3 experiments with differing datasets, the results shows that the algorithm is capable of improving the target achievement of crude classification composition up to below 1 % deviation from the target as well as significantly reducing the time needed to do the assignment from several hours into under 1 minutes.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Crude Oil Assignment, Crude Oil Classification, Metaheuristics, Simulated Annealing
Subjects: Q Science > QA Mathematics > QA9.58 Algorithms
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Fikri Irsyad Muhammad
Date Deposited: 05 Aug 2021 21:49
Last Modified: 05 Aug 2021 21:49

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