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Optimization of temperature level to enhance worker performance in automotive industry

A. R., Ismail and M. Y. M., Yusof and N. K., Makhtar and B. M., Deros and Abd. Rani, Mat Rebi (2010) Optimization of temperature level to enhance worker performance in automotive industry. American Journal of Applied Sciences, 7 (3). 360 - 365. ISSN 1546-9239

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Official URL: https://thescipub.com/pdf/10.3844/ajassp.2010.360....

Abstract

Problem statement: Production of automotive parts is among the largest contributor to economic earnings in Malaysia. The dominant work involve in producing automotive part were manual assembly process. Where it is definitely used a manpower capability. Thus the quality of the product heavily depends on worker's comfort in the working condition. Temperature is one of the environmental factors that give significant effect on the worker performance. Approach: Temperature level and productivity rate were observed in automotive factory. An automotive manufacturing firm was chosen to observe the temperature level and worker's productivity rate. The data were analyzed using Artificial Neural Network's analysis (ANN). ANN analysis technique is usual analysis method used to form the best linear relationship from the collected data. Results: It is apparent from the linear relationship, that the optimum value of production (value≈1) attained when temperature value (WBGT) is 24.5°C. Conclusion: Optimum value production rate (value≈1) for one manual production line in that particular company is successfully achieved. Through ANN method, the optimum temperature level for the optimum manual workers' performance manage to be predicted.

Item Type:Article
Uncontrolled Keywords:Optimum, Productivity, Temperature
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:26590
Deposited By: Widya Wahid
Deposited On:18 Jul 2012 11:27
Last Modified:31 Oct 2018 20:30

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