Analysis of physiological workload approach in packing stations to determine optimal workload

0Citations
Citations of this article
32Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This is where the research company which produces flour. The actual conditions on the production floor are found a lot of manual activity one is packing. Physical workload examined in order to determine the energy consumption and% CVL operator. Based on the calculation of the workload is known that the operator has a very heavy percentage category, namely 47.82%, for the Measurement of energy carriers showed that 80% of energy consumption in the category of heavy operator is 401.95 Kcals / hour based on% CVL operator, operators are in category required immediate action. Based on the calculations made through this research turns out the workload at a packing station is classified by weight category, causing significant fatigue for the operator where the number of carrier pulse exceeds normal limits. Energy needs necessary operator still not been met, where the category workload largely classified as severe. The result shown that timing of rest required by each operator is not enough.

Cite

CITATION STYLE

APA

Siregar, I., Tarigan, I. R., Syahputri, K., Sari, R. M., & Nasution, T. (2018). Analysis of physiological workload approach in packing stations to determine optimal workload. In IOP Conference Series: Materials Science and Engineering (Vol. 420). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/420/1/012029

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free