Design and Development of Tempeh Raw Material Control System Based on Periodic Review to Increase Production Efficiencyat CV.XYZ

This research aims to design an efficient inventory control system for tempe raw materials at CV.XYZ by applying the Periodic Review method. The problem faced by the company is the occurrence of excesses and shortages of raw materials due to the absence of an accurate control system. Demand forecasting is carried out using the time series method (Exponential Smoothing, Linear Regression, and Moving Average) to obtain optimal estimates of raw material requirements. Forecasting results are used as a basis for implementing Periodic Review to determine order intervals, maximum inventory and order quantity. The analysis results show that this method can minimize inventory costs and reduce the risk of shortages and excesses of raw materials, thereby increasing production efficiency

Authors

Institutions

Publication Details

Journal
Proceeding of International Conference on Science and Technology UISU.
Published
2025-08-27
DOI
https://doi.org/10.30743/whyngc98
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of Tempeh Raw Material Control System Based on Periodic Review to Increase Production Efficiencyat CV.XYZ

Reakha Zulvatricia, Riana Puspita, Muhammad Fanji Fatwa
Proceeding of International Conference on Science and Technology UISU.
Management and Optimization Techniques
article

Design and Development of Tempeh Raw Material Control System Based on Periodic Review to Increase Production Efficiencyat CV.XYZ

Reakha Zulvatricia, Riana Puspita, Muhammad Fanji Fatwa
article en

Abstract

This research aims to design an efficient inventory control system for tempe raw materials at CV.XYZ by applying the Periodic Review method. The problem faced by the company is the occurrence of excesses and shortages of raw materials due to the absence of an accurate control system. Demand forecasting is carried out using the time series method (Exponential Smoothing, Linear Regression, and Moving Average) to obtain optimal estimates of raw material requirements. Forecasting results are used as a basis for implementing Periodic Review to determine order intervals, maximum inventory and order quantity. The analysis results show that this method can minimize inventory costs and reduce the risk of shortages and excesses of raw materials, thereby increasing production efficiency

Proceeding of International Conference on Science and Technology UISU.
Medan Area University (ID)
Openalex Percentile: Top 66%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.