Evaluation of Ergonomic Conditions using Fuzzy Logic in a Metal Processing Plant

Abstract

Ergonomic conditions of workplace settings is important for the performance of companies. Especially in the manufacturing industry, the employees are required to have convenient workplace conditions. If this is not the case, it is most likely to have a decrease in work efficiency, increase in workload, and negative impacts on employee health. In this study, we evaluate two ergonomic conditions, illumination and noise level, in different departments of a metal processing plant, to find the initial department to work on the improvement of ergonomic conditions. The evaluation of ergonomic conditions is done through a fuzzification process. The quantitative measurement results of illumination and noise level are fuzzified by Mamdani method. The fuzzified measurement values are scored with respect to specified interval lengths. As a result of this scoring process, ergonomically the worst conditioned department is found to start the improvement process.