Optimasi Pada Multi-stage Inventory Terkontrol Dengan Metode Revised Multi-Choice Goal Programing : Studi Kasus Pertambangan Batubara Di Berau, Kalimantan Timur.

Aji, Aryo Prastyo (2024) Optimasi Pada Multi-stage Inventory Terkontrol Dengan Metode Revised Multi-Choice Goal Programing : Studi Kasus Pertambangan Batubara Di Berau, Kalimantan Timur. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian ini membahas penerapan teori Revised Multi-Choice Goal Programing (RMCGP) dalam konteks industri pertambangan batubara, khususnya pada aktifitas operasional tambang dari proses hulu ke hilir. Fokus utama adalah pada operasional produksi batubara dari PIT ke ROM, crushing dari ROM ke Stockpile, barging batubara dari stockpile ke mother vessel, hingga sampai kepada customer. Dalam penelitian ini, ditemukan bahwa penerapan teori Revised Multi-Choice Goal Programing (RMCGP) dalam operasional tambang batubara mampu mengoptimalkan minimasi pengeluaran dengan mempertimbangkan berbagai skenario biaya. Melalui pendekatan ini, manajemen sebagai pembuat keputusan dapat meminimasi biaya yang lebih optimal dengan memperhitungkan faktor-faktor seperti biaya transportasi, biaya penyimpanan dan pengolahan, target manajemen, serta production loss yang dapat menyebabkan kerugian. Studi kasus pada perusahaan tambang batubara yang baru memulai aktifitas pertambangan ini akan mengilustrasikan keberhasilan penggunaan metode dalam mengidentifikasi target yang perlu dicapai dengan mengeliminasi sumber biaya yang tidak perlu dan merumuskan strategi dengan minimasi biaya yang lebih rendah. Kedua tujuan yaitu meminimasi biaya transportasi produksi batubara dan minimasi biaya port handling dalam empat tahap pada sepuluh periode telah tercapai solusi optimal dan fully satisfied karna memenuhi syarat model Revised Multi-Choice Goal Programing. Analisis sensitifitas didapat bahwa dengan adanya perubahan di masa depan terhadap target coal sales di setiap bulan maka akan didapat perubahan pada coal production transport cost dan port handling cost.
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This research discusses the application of the Revised Multi-Choice Goal Programing (RMCGP) theory in the context of the coal mining industry, especially in the mining operational activities from upstream to downstream processes. The main focus is on coal production operations from PIT to ROM, crushing from ROM to Stockpile, barging coal from stockpile to mother vessel, until it reaches the customer. In this research, it was found that applying the Revised Multi-Choice Goal Programing (RMCGP) theory to coal mine operations can optimize expenditure minimization by considering various cost scenarios. Through this approach, Management as a decision-maker can minimize costs more optimally by considering factors such as transportation costs, storage and processing costs, management targets, and production losses, which can cause losses. This case study of a coal mining company that has just started mining activities illustrates the success of using this method in identifying targets that need to be achieved by eliminating unnecessary sources of costs and formulating strategies with lower cost minimization. The two goals of minimizing coal production transportation costs and minimizing port handling costs in four stages over ten periods have achieved optimal solutions and are fully satisfied because they meet the requirements of the Revised Multi-Choice Goal Programing model. Sensitivity analysis shows that in the future changes to the coal sales target each month, there will be changes in coal production transport costs and port handling costs.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Operasional tambang batubara, Biaya transportasi produksi tambang, Biaya Port Handling, Revised Multi-Choice Goal Programing (RMCGP), Coal mine operations, Transport Costs, and Port Handling Costs.
Subjects:	T Technology > T Technology (General) > T57.6 Operations research--Mathematics. Goal programming T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TN Mining engineering. Metallurgy
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	ARYO PRASTYO AJI
Date Deposited:	18 Jul 2024 01:15
Last Modified:	18 Jul 2024 01:15
URI:	http://repository.its.ac.id/id/eprint/108419

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