Analysis of Production Line Quality Using Time Study

Every industry must devise a technique for evaluating the process output with measurable standard and take remedial action if there exist variation in both results; it is called quality control and it enhances productivity. This research focuses on the analysis of an industry’s service quality using time study to identify the non-value adding task such as motion that increases the service delivery time thereby reducing the overall productivity. A flow chart was drawn to show the flow operation processes and five members of staff were examined to evaluate the observed time each task was performed relative to the standard time for efficiency computation. The results from the efficiency chart as depicted by the bar chart showed that task F, G, H and G (which required minimum motion) had the highest efficiencies in decreasing order compared to the other tasks. The location model was used to analyze the assembly line to determine suitable possible locations for both facility; storage site and workshop floor that will enhance staff efficiency and improve productivity. The effect of staff age and number of work experience relative to working hour was also evaluated and the result as shown by MS-Excel line plot is that, experience increases performance for technical tasks and is also a function of age while for task requiring human labour (in terms of effort) the younger the staff the higher the level of performance.