Digital Transformation and Its Impact on Production Improvement: A Case Study at PT Gajah Mada Plastik

PT Gajah Mada Plastik is a plastic manufacturing company that produces plastic bottles using a make-to-stock system, where finished goods are stored before being sold. However, the company has not implemented effective production planning, leading to a mismatch between production volume and market demand. In February 2024, production exceeded demand, resulting in overstock and increased storage costs. This study aims to conduct demand forecasting and aggregate planning to improve production scheduling in a timely, accurate, and cost-efficient manner. Forecasting is performed using one year of historical sales data to project future demand. Aggregate planning is then calculated using two methods: the level method and the chase strategy. The results indicate that the level method yields the lowest total cost, amounting to Rp 98,207,310. Therefore, the level method is selected for aggregate planning, aligning with the company’s current condition of excess inventory. This approach allows the company to fulfill customer demand effectively while minimizing costs and avoiding further overstock.

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Publication Details

Journal
Journal of Business Integration Competitive
Published
2025-05-07
DOI
https://doi.org/10.64276/jobic.v1i2.21
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Transformation and Its Impact on Production Improvement: A Case Study at PT Gajah Mada Plastik

Adi Harianto, Ratih Amelia, Ester, Heri Hardiansyah et al.
Journal of Business Integration Competitive
Digital Transformation in Industry
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Digital Transformation and Its Impact on Production Improvement: A Case Study at PT Gajah Mada Plastik

Adi Harianto, Ratih Amelia, Ester, Heri Hardiansyah, Maya Syahlina
article en

Abstract

PT Gajah Mada Plastik is a plastic manufacturing company that produces plastic bottles using a make-to-stock system, where finished goods are stored before being sold. However, the company has not implemented effective production planning, leading to a mismatch between production volume and market demand. In February 2024, production exceeded demand, resulting in overstock and increased storage costs. This study aims to conduct demand forecasting and aggregate planning to improve production scheduling in a timely, accurate, and cost-efficient manner. Forecasting is performed using one year of historical sales data to project future demand. Aggregate planning is then calculated using two methods: the level method and the chase strategy. The results indicate that the level method yields the lowest total cost, amounting to Rp 98,207,310. Therefore, the level method is selected for aggregate planning, aligning with the company’s current condition of excess inventory. This approach allows the company to fulfill customer demand effectively while minimizing costs and avoiding further overstock.

Journal of Business Integration CompetitiveVol. 1(2)
State University of Medan (ID), Institut Teknologi dan Bisnis Kalbe (ID), Politeknik Kesehatan Kemenkes Semarang (ID)
Openalex Percentile: Top 77%
Digital Transformation in Industry
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