Indonesian Journal of Industrial Engineering & Management
Vol 5, No 3: October 2024

Quality Control Analysis with Statistical Process Control (SPC) and Failure Mode Effect Analysis (FMEA) Methods on Battery Products at PT. Selatan Jadi Jaya

Putra, I Dewa Gede Rama (Unknown)
Sumiati, Sumiati (Unknown)



Article Info

Publish Date
20 Mar 2025

Abstract

PT. Selatan Jadi Jaya is a company that produces lead acid batteries for Automotive Car Batteries. During production, problems often arise, namely the high level of product defects.  These defects more often appear in the burning process, including Melted Tin defects, Burnt Connector defects, Bent Plate defects, and Torn Separator defects. The purpose of this study is to determine the percentage of defects that occur most often and the factors that cause defects and provide suggestions for improving the quality of battery batteries. Based on the above problems, quality control analysis can use methods, namely the Statistical Process Control (SPC) method and improvement efforts using Failure Mode and Effect Analysis (FMEA). Based on the results of research on Statistical Process Control that the dominant defect is Burnt Connector with a percentage of (33%), then followed by Plate Bent by (26%), then Melted Tin by (24%), and Torn Separator by (17%). Based on the results of the Failure Mode and Effect Analysis research, it is known that the highest RPN value is 200 on the tin melt defect with the cause of failure due to errors when workers set the fire too large. The recommendation for improvement for this problem is to adjust the size of the fire in accordance with the procedures set before welding.

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Journal Info

Abbrev

ijiem

Publisher

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

Description

The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on industrial engineering and management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise ...