Workload Analysis to Establish the Ideal Staffing Level Using the Workload Analysis (WLA) Method (Case study of Manufacturing Design Engineering Production Laboratory, in Indonesia)

Emma Dwi Ariyani1*, Achmad Muhammad2, Nabila Hikmatus Sya’diah3, Supriyadi Sadikin4, & Yeni Latipah5
1,2,3,4,5 Department of Engineering Technology Management, Faculty of Mechanical Engineering, Politeknik Manufaktur Bandung, Indonesia
* Corresponding author: emma@polman-bandung.ac.id
DOI – http://doi.org/10.37502/IJSMR.2024.71110

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Abstract

As a pivotal unit in manufacturing process, the Manufacturing Design Engineering Laboratory plays a critical role in the beginning of manufacturing, dealing with the process of designing and developing new products. Hence, assessing the workload perceived by the employees of Manufacturing Design Engineering Laboratory is significant to ensure the optimal number of workers as a way to maintain the productivity and efficiency of manufacturing process. In this study, there are five areas of expertise (KBK) of Manufacturing Design Engineering Laboratory which were evaluated namely Press Tool, Moulding, Jig & Fixture, Metrology, and General Mechanic. By applying workload analysis method, the five expertise were measured based on their workload and other correlated aspects called performance rating and allowance.  The Findings show that the average workload for employees in the Press Tool Expertise Area is 91.42%, with an optimal number of 4 employees. Meanwhile, in the Moulding Expertise Area, the average employee workload is 68.2%, with an optimal number of 2 employees. In the Jig & Fixture Expertise Area, the average employee workload is 62.65%, with an optimal number of 2 employees. In the Metrology Expertise Area, the average employee workload is 87.96%, with an optimal number of 3 employees. Lastly, in the General Mechanic Expertise Area, the average employee workload is 90.24%, with an optimal number of 7 employees. Five more workers are needed, bringing the total from 13 to 18, in light of the task difficulties that have been discovered. Even after the number of employees has been established, changes like a fair workload division need to be made.

Keywords: Workload, Manufacturing Design Engineering Laboratory, Workload Analysis (WLA), Total Workforce.

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