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All Journal Jurnal Teknologi dan Riset Terapan (JATRA)
Sabrina Azzahra
Program Studi Teknik Industri Otomotif, Politeknik STMI Jakarta
Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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WORKFORCE OPTIMIZATION IN AUTOMOTIVE TOOLING: AN ENVIRONMENTAL WORK SAMPLING MODEL Fredy Sumasto; Sabrina Azzahra; Dianasanti Salati; Irma Agustiningsih Imdam; Indah Kurnia Mahasih Lianny; Wilda Sukmawati; Muhamad Agus
Jurnal Teknologi Dan Riset Terapan (JATRA) Vol. 8 No. 1 (2026): Jurnal Teknologi Dan Riset Terapan (JATRA) - Juni 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jatra.v8i1.12810

Abstract

This study optimizes labor allocation in automotive mold repair using an environmental-integrated Work Sampling method, addressing gaps in conventional time studies that often ignore contextual variables. Data were collected through 210 observations (42 per day over five days) at MWT, Ltd., incorporating environmental factors such as temperature (31°C) and vibration (0.5 m/s²). The analysis included adequacy testing (N’=168.42), uniformity checks, and standard time calculation using a Westinghouse rating factor of +0.24 and a site-specific allowance of 80.5%, validated against historical data. The results indicate a standardized repair time of 53.16 min/mold at 90% productivity, which is approximately 18% higher than values reported in previous studies due to the inclusion of environmental and competency-related factors. Simulation results suggest that implementing a two-worker shift system could potentially reduce backlog risk by 22% and improve lead time performance from 3.2 to 2.6 days. Environmental factors contributed to 30% of allowance time, revealing a previously unquantified impact. This study introduces a hybrid model integrating environmental ergonomics into non-repetitive task analysis, offering a practical framework for improving productivity, resource allocation, and maintenance efficiency in manufacturing environments.
Co-Authors Dianasanti Salati Fredy Sumasto Indah Kurnia Mahasih Lianny Irma Agustiningsih Imdam Muhamad Agus Wilda Sukmawati