Penentuan Parameter Pengendalian Persediaan Bahan Baku pada Sistem Multi-Supplier dan Multi End Product

Maharani, Salsabila (2026) Penentuan Parameter Pengendalian Persediaan Bahan Baku pada Sistem Multi-Supplier dan Multi End Product. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perusahaan filter rokok dengan sistem make to order tanpa buffer finished goods inventory menghadapi risiko operasional tinggi akibat fluktuasi permintaan dan ketidakpastian proses produksi. Kondisi ini diperburuk oleh mekanisme pengadaan multi-supplier berhierarki dengan kapasitas pasokan terbatas sehingga lead time bersifat dinamis mengikuti supplier aktif pada setiap periode pemesanan, yang tidak dapat dimodelkan secara memadai oleh pendekatan deterministik konvensional. Penelitian ini menyelesaikan permasalahan tersebut melalui tiga tahapan: identifikasi material kritikal menggunakan klasifikasi terintegrasi ABC-XYZ-FSN terhadap 453 item, fitting distribusi probabilitas pada data historis demand dan defect rate dengan lead time dimodelkan sebagai variabel kondisional-stokastik, serta perancangan model Simulasi Monte Carlo harian dengan 20 replikasi dan 366 iterasi per replikasi sebagai dasar penetapan parameter pengendalian persediaan. Hasil klasifikasi menetapkan sembilan material kritikal sebagai objek simulasi. Hasil simulasi menunjukkan kebijakan Days of Supply (DOS) seragam 21 hari yang berlaku saat ini tidak mampu memenuhi target service level untuk sebagian besar material, dengan AT833530 dan AT836028 hanya mencapai 52,35% dan 57,81%. Eksperimen terhadap 16 skenario DOS menghasilkan rekomendasi terdiferensiasi, yaitu DOS 14 hari untuk AT804030 dan DOS 30 hari untuk delapan material lainnya, dengan target service level 90%–95% sesuai karakteristik masing-masing material. Penelitian ini juga merekomendasikan diversifikasi supplier bagi lima material yang saat ini bergantung pada satu supplier aktif sebagai mitigasi risiko gangguan pasokan.
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A cigarette filter company operating under a make-to-order system without a finished goods inventory buffer faces high operational risk due to demand fluctuations and production process uncertainty. This challenge is further intensified by a hierarchical multi-supplier procurement mechanism with limited annual supply capacities, in which lead time varies dynamically according to the active supplier in each ordering period, a condition that conventional deterministic approaches cannot adequately represent. This study addresses the problem through three stages: critical material identification using integrated ABC-XYZ-FSN classification across 453 inventory items, probability distribution fitting on historical demand and defect rate data with lead time modeled as a conditional stochastic variable, and the development of a daily-resolution Monte Carlo Simulation model with 20 replications and 366 iterations per replication as the basis for determining inventory control parameters. Classification results identified nine critical raw materials as simulation objects. Simulation results indicate that the current uniform Days of Supply (DOS) policy of 21 days fails to meet the service level target for most materials, with AT833530 and AT836028 achieving only 52.35% and 57.81%, respectively. Experiments across 16 DOS scenarios produced differentiated recommendations, namely DOS 14 days for AT804030 and DOS 30 days for the remaining eight materials, with service level targets of 90% to 95% according to each material's characteristics. The study further recommends supplier diversification for five materials currently dependent on a single active supplier as a mitigation measure against supply disruption risk.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Demand Fluctuations, Production Planning, Raw Material Planning, Production Defect rate, dan Monte Carlo Simulation
Subjects:	T Technology > T Technology (General) > T57.62 Simulation T Technology > TS Manufactures > TS155 Production control. Production planning. Production management T Technology > TS Manufactures > TS161 Materials management.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User:	Salsabila Maharani
Date Deposited:	31 Jul 2026 06:16
Last Modified:	31 Jul 2026 06:16
URI:	http://repository.its.ac.id/id/eprint/140816

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