6th Annual International Conference on Industrial Engineering and Operations Management

Motion and Time Study : Measurement of Workstation For Piston Assembly Line Considering Anthropometric For Indonesian People

Inaki Maulida Hakim
Publisher: IEOM Society International
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Track: Quality Control and Management
Abstract

Abstract - This research was conducted on an artificial piston assembly line of Toyota cars on a laboratory scale. The piston assembly line consists of four workstations where each workstation has tasks carried out by the workers respectively. Fatigue issue was known to occur frequently – causing problems for operators of those workstations – due to the design of the work table which did not comply with anthropometric measurements of the operators. This matter caused longer cycle time and decreased productivity. In order to tackle the issue, this research focused on analyzing workspace factors needed to produce design and to conduct simulation to create an assembly line with reference to anthropometric measurements of Indonesian people. Thorough anthropometric data collecting and analysis were required to design the assembly line. The collected data were tested using adequacy test, homogeneity test, and normality test, where later on was used as reference in proposing the design. Anthropometric data were obtained from 12 operators, male and female, which represent Indonesian anthropometric measurements. The result of normality test shows that the data were normal, while the homogeneity test shows similarities in each dataset, which should let the data pass the qualification. Yet, adequacy test for male operators indicates that there was not enough men, so additional measuring elements were added to make the test samples to be enough. Using the required data, this study proposes anthropometric measurements needed to design workstation fitted for Indonesians which should be able to be implemented on a larger scale.

                Index Terms – piston workstation, fatigue, anthropometric measurement

Published in: 6th Annual International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia

Publisher: IEOM Society International
Date of Conference: March 8-10, 2016

ISBN: 978-0-9855497-4-9
ISSN/E-ISSN: 2169-8767