Waste Reduction in the Sickle Production Process Using the VALSAT Method and Value Stream Mapping

This research aims to minimize waste in the sickle production process at PT XYZ by applying Lean Manufacturing techniques, specifically Value Stream Mapping (VSM) and Value Stream Analysis Tools (VALSAT). The study began with direct observation and data collection of production activities to identify non-value-added activities (NNVA) and waste. Types of waste, including defects, excessive inventory, and waiting times, were identified and analyzed using the 5 Whys method to determine their root causes. Process Activity Mapping (PAM) was employed to classify activities into value-adding, non-value-adding, and necessary non-value-adding categories. Improvements were implemented, such as optimizing material transfers with forklifts, reducing waiting times, and strengthening quality control processes. As a result, non-value-adding activities were reduced from 9% to 0%, significantly enhancing production efficiency.

Authors

Institutions

Publication Details

Journal
Golden Ratio of Data in Summary
Published
2025-04-26
DOI
https://doi.org/10.52970/grdis.v5i2.936
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Waste Reduction in the Sickle Production Process Using the VALSAT Method and Value Stream Mapping

Moch. Tutuk Safirin, Lovia Vioni Putri Jatmiko
Golden Ratio of Data in Summary
Mining Techniques and Economics
article

Waste Reduction in the Sickle Production Process Using the VALSAT Method and Value Stream Mapping

Moch. Tutuk Safirin, Lovia Vioni Putri Jatmiko
article en

Abstract

This research aims to minimize waste in the sickle production process at PT XYZ by applying Lean Manufacturing techniques, specifically Value Stream Mapping (VSM) and Value Stream Analysis Tools (VALSAT). The study began with direct observation and data collection of production activities to identify non-value-added activities (NNVA) and waste. Types of waste, including defects, excessive inventory, and waiting times, were identified and analyzed using the 5 Whys method to determine their root causes. Process Activity Mapping (PAM) was employed to classify activities into value-adding, non-value-adding, and necessary non-value-adding categories. Improvements were implemented, such as optimizing material transfers with forklifts, reducing waiting times, and strengthening quality control processes. As a result, non-value-adding activities were reduced from 9% to 0%, significantly enhancing production efficiency.

Golden Ratio of Data in SummaryVol. 5(2)
University of Pembangunan Nasional Veteran Jawa Timur (ID)
Openalex Percentile: Top 90%
Mining Techniques and Economics
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.