Pengendalian Persediaan dan Usulan Perencanaan Safety Stock pada Material Biji Plastik SPP-C05 Black Menggunakan Metode Time Series dan Min-Max

Inventory control is a crucial element in supporting the smooth production process in manufacturing companies. PT Bonecom Tricom, a producer of automotive spare parts, faces challenges in managing SPP-C05 Black plastic pellets due to inaccurate estimation methods, resulting in material accumulation in storage. This study aims to propose inventory planning using time series and min-max methods to optimize material requirements. The results show that the Holt-Winter's Multiplicative method provides the best forecasting accuracy with the lowest error rate (MAPE) of 2%. Furthermore, implementing the min-max method can reduce inventory costs by 14.245%. This study is expected to serve as a reference for companies to manage material inventory more effectively and efficiently.

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Publication Details

Journal
SABER Jurnal Teknik Informatika Sains dan Ilmu Komunikasi
Published
2024-12-21
DOI
https://doi.org/10.59841/saber.v3i1.2103
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Pengendalian Persediaan dan Usulan Perencanaan Safety Stock pada Material Biji Plastik SPP-C05 Black Menggunakan Metode Time Series dan Min-Max

Melly Marcelia Aziza, Susatyo Nugroho Widyo Pramono
SABER Jurnal Teknik Informatika Sains dan Ilmu Komunikasi
Management and Optimization Techniques
article

Pengendalian Persediaan dan Usulan Perencanaan Safety Stock pada Material Biji Plastik SPP-C05 Black Menggunakan Metode Time Series dan Min-Max

Melly Marcelia Aziza, Susatyo Nugroho Widyo Pramono
article en

Abstract

Inventory control is a crucial element in supporting the smooth production process in manufacturing companies. PT Bonecom Tricom, a producer of automotive spare parts, faces challenges in managing SPP-C05 Black plastic pellets due to inaccurate estimation methods, resulting in material accumulation in storage. This study aims to propose inventory planning using time series and min-max methods to optimize material requirements. The results show that the Holt-Winter's Multiplicative method provides the best forecasting accuracy with the lowest error rate (MAPE) of 2%. Furthermore, implementing the min-max method can reduce inventory costs by 14.245%. This study is expected to serve as a reference for companies to manage material inventory more effectively and efficiently.

SABER Jurnal Teknik Informatika Sains dan Ilmu KomunikasiVol. 3(1)
Diponegoro University (ID)
Openalex Percentile: Top 46%
Management and Optimization Techniques
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