Optimal levels of workplace and process parameters are crucial in boosting productivity and organizational performance in any industry. "Optimal workplace and process parameters" refers to the most effective mix of elements within a workplace that enhances productivity, work quality, employee satisfaction, and overall performance while minimizing resource wastage. This study aims to identify the ideal balance and alignment between workplace and process elements by investigating and determining the optimal workplace and process parameters for creating a conducive work environment in a small-scale tailoring unit. The study utilizes Taguchi's Orthogonal Array (OA) method by selecting 4 control factors at 3 levels, which include illuminance, type of needle, type of fabric, and type of sewing machine. The response variable chosen to assess the impact of these parameters was the daily average units of garments produced per week. An L9 orthogonal array was designed using statistical software, and the array was analyzed using signal-to-noise (S/N) ratio equations based on Larger-the-better condition. The control factors and their levels corresponding to the highest S/N ratio value determine the small-scale tailoring unit's optimal workplace and process parameters. The obtained optimal control factors and their levels were workplace illuminance-755 lux, type of needle-sharp needle, type of fabric-polyester and type of sewing machine-flatlock sewing machine. This combination of factors will be the optimal parameter for maximizing the response variable chosen and these parameters define the overall performance of the tailoring unit.

Keywords: Taguchi’s orthogonal array, Optimal parameters, S/N ratio, Small-scale tailoring unit