Penentuan Decoupling Point Pada Sistem Produksi Industri Besi Baja Menggunakan Simulasi Discrete Event Simulation

Sulaiman, Taufiqurrahman Pasha Putra (2016) Penentuan Decoupling Point Pada Sistem Produksi Industri Besi Baja Menggunakan Simulasi Discrete Event Simulation. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan impor besi baja di Indonesia untuk memenuhi konsumsi besi baja nasional berdampak langsung terhadap perusahaan industri besi baja nasional. Dampak tersebut membuat perusahaan industri baja nasional semakin tidak kompetitif. Salah satunya seperti yang dialami oleh PT. X. PT. X memiliki variasi produk yang beragam yang memiliki fluktuasi tren demand masing-masing, sehingga demand akan sulit untuk diprediksi. Oleh karena itu, PT. X menerapkan make-to-order (MTO) dalam sistem produksinya. Di sisi lain, penerapan MTO ini memiliki trade off dari sisi durasi pemenuhan order yang lama, yaitu mencapai 6 bulan dan juga biaya yang muncul apabila produksi tidak mencapai minimum production capacity untuk menyesuaikan demand. Penelitian ini berfokus pada rekayasa sistem produksi yang penerapannya akan jauh lebih efektif apabila menerapkan postponement strategy untuk mempersingkat durasi pemenuhan order dengan trade off total biaya minimum dengan bantuan buffer stock pada decoupling point proses produksi perusahaan. Penelitian ini menggunakan simulasi discrete event simulation pada software Arena dengan tiga skenario titik decoupling point yang ditentukan. Skenario pertama, akan mensimulasikan decoupling point pada pemesanan bahan baku slab, skenario kedua akan mensimulasikan decoupling point pada gudang N2. Selanjutnya, skenario ketiga akan menggabungkan kedua skenario sebelumnya. Analisis dilakukan berdasarkan dua parameter performansi yaitu, durasi pemenuhan order dan total biaya. Berdasarkan hasil analisis, skenario ketiga merupakan skenario terbaik. Skenario ketiga dapat mengurangi lead time pemenuhan order lebih baik dibandingkan skenario lainnya dengan trade off dari sisi total cost yang minimum.
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Increasing number in steel imports in Indonesia to meet domestic steel consumption has direct impacts on national steel industry. National steel industry companies have become increasingly non-competitive. As experienced by PT. X. that has a diverse range of products with fluctuating demand trends, making it difficult to predict demand. Therefore, PT. X implements a make-to-order (MTO) system in its production. However, the implementation has a trade-off in long fulfillment duration, which can reach up to 6 months, and incurred costs when production does not meet the minimum production capacity to match demand. This study focuses on re-engineering the production system, which would be much more effective if implements postponement strategy to shorten the order fulfillment duration, with a minimum total cost using buffer stock at the decoupling point in the company's production process. The study uses discrete event simulation using the Arena software with three scenarios of decoupling points. The first scenario simulates the decoupling point at the slab raw material ordering stage, the second scenario simulates the decoupling point at N2 warehouse, and the third scenario combines the previous two scenarios. The analysis is based on two performance parameters, namely the order fulfillment duration and the total cost. Based on the analysis results, the third scenario is the best scenario. The third scenario can reduce the lead time for order fulfillment better than the other scenarios, also resulting in minimum total cost.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	postponement strategy, make-to-order, mass customization, simulation, buffer stock, decoupling point, discrete event simulation, postponement strategy, make-to-order, mass customization, simulasi, buffer stock, decoupling point, discrete event simulation.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP T Technology > T Technology (General) > T57.62 Simulation T Technology > TS Manufactures > TS155 Production control. Production planning. Production management
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Taufiqurrahman Pasha Putra Sulaiman
Date Deposited:	03 Aug 2023 03:02
Last Modified:	03 Aug 2023 03:02
URI:	http://repository.its.ac.id/id/eprint/100990

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