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Entis Sutisna Entis
a:1:{s:5:"en_US";s:33:"Universitas Pelita Bangsa, Bekasi";}
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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Improving The Availability Of Automatic Surface Grinding Machines Through A3 Problem Solving, SMED, And Spare Part Control In The Manufacturing Industry Entis Sutisna Entis; Alifvio Iyayu Kamsi; Muhammad Khosim Adha; Muhammad Sultan Rifal
International Journal of Health Engineering and Technology Vol. 5 No. 2 (2026): Vol 5. No. 2 JULY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v5i2.972

Abstract

Machine availability is a critical indicator for assessing production asset readiness. This study aims to improve the availability of an automatic surface grinding machine in a tooling area of an electronic component manufacturing company using the A3 problem-solving approach. Machine Operation Data from April-June 2024 showed an initial availability of 34.3%, with an average actual running time of 18,287 minutes against an average planned production time of 53,238 minutes. Breakdown analysis identified two dominant losses: stop waiting operator at 15,135 minutes and stop waiting spare part at 7,680 minutes, contributing 22,815 minutes (93.6%-94.0%) of the total breakdown time. This research employed a descriptive quantitative case study through problem clarification, problem breakdown, target setting, root cause analysis, countermeasure development, implementation, and result monitoring. The main countermeasures included allocating supporting manpower during early-shift setup, reviewing process planning, preparing Single Minute Exchange of Dies (SMED) implementation, coordinating machine component improvement, and establishing a spare part list with minimum stock control. The monitoring result showed that the average availability during September-November 2024 reached 58.7%, an improvement of 24.4 percentage points from the baseline. Stop waiting operator decreased to an average of 4,490 minutes and stop waiting spare part decreased to 0 minutes in the after period. The findings indicate that A3 problem solving combined with changeover and spare part control can significantly improve machine readiness. This study contributes to data-driven continuous improvement practices for enhancing manufacturing equipment performance.
Co-Authors Alifvio Iyayu Kamsi Muhammad Khosim Adha Muhammad Sultan Rifal