Penentuan Strategi Spare Parts Stock untuk Mencegah Stockout di Perusahaan Petrokimia

Ramdhani, Faizal (2025) Penentuan Strategi Spare Parts Stock untuk Mencegah Stockout di Perusahaan Petrokimia. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pengelolaan spare part merupakan aspek krusial dalam memastikan keandalan peralatan dan kelancaran operasional pabrik petrokimia, mengingat dampak kerugian yang signifikan akibat kekurangan persediaan (stockout). Saat ini, pendekatan tradisional berbasis frekuensi pemakaian dinilai kurang efektif dalam mengantisipasi kebutuhan maintenance yang dinamis. Penelitian ini mengembangkan metode klasifikasi baru untuk manajemen spare part inventory menggunakan pendekatan multi-kriteria yang mencakup criticality spare part, pola permintaan, dan lead time. Data penelitian diambil dari wawancara dengan sembilan partisipan serta data histori pemakaian spare part yang tersimpan dalam sistem SAP. Penentuan criticality menggunakan metode Analytical Hierarchy Process (AHP) menghasilkan prioritas kriteria, yaitu Safety & Environment (0,33944), Strategi Maintenance (0,23908), Dampak Stockout (0,19774), Interchangeable Part (0,12399) dan Kemungkinan Kegagalan (0,09975). Selanjutnya dengan analisis tiga dimensi dan decision tree menghasilkan 36 kombinasi klasifikasi yang menjadi dasar penentuan strategi spare part stock. Penerapan strategi yang dilakukan pada 30 spare part menunjukkan perubahan signifikan, di mana 1 menjadi Vendor Managed Inventory (VMI), 5 stock item, 12 minimal stock, dan 12 tetap non-stock. Dengan penerapan stock policy berbasis multi-kriteria ini, pengelolaan spare part menjadi lebih optimal, risiko stockout dapat diminimalkan, dan operasional pabrik pupuk dapat berjalan lebih efisien. Penelitian ini memberikan kontribusi strategis untuk optimalisasi pengelolaan persediaan spare part, sekaligus mendukung kelancaran operasional pabrik pupuk di Indonesia.
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Spare part management is a crucial aspect in ensuring equipment reliability and smooth operation of petrochemical plants, considering the significant impact of losses due to stockouts. Currently, the traditional approach based on frequency of use is considered less effective in anticipating maintenance needs. This study develops a new classification method for spare part inventory management using a multi-criteria approach that includes spare part criticality, demand patterns, and lead time. The research data were taken from interviews with nine participants and historical data on spare part usage stored in the SAP system. Determining criticality using the Analytical Hierarchy Process (AHP) method resulted in priority criteria, namely Safety & Environment (0.33944), Maintenance Strategy (0.23908), Stockout Impact (0.19774), Interchangeable Part (0.12399), and Probability of Failure (0.09975). Furthermore, three-dimensional analysis and decision tree resulted in 36 classification combinations that became the basis for determining the spare part stock strategy. The implementation of the strategy carried out on 30 spare parts showed significant changes, where 1 became Vendor Managed Inventory (VMI), 5 became stock items, 12 were minimal stock, and 12 remained non-stock. With the implementation of this multi-criteria-based stock policy, spare part management becomes more optimal, the risk of stockout can be minimized, and fertilizer factory operations can run more efficiently. This research provides a strategic contribution to the optimization of spare part inventory management, while supporting the smooth operation of fertilizer plant in Indonesia.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Analytical Hierarchy Process (AHP), Inventory Management, Petrochemical Plant, Spare Part Management.
Subjects:	T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Faizal Ramdhani
Date Deposited:	02 Feb 2025 06:57
Last Modified:	02 Feb 2025 06:57
URI:	http://repository.its.ac.id/id/eprint/117614

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