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2018 | OriginalPaper | Buchkapitel

Mismatch in Anthropometric Parameters of Malaysian Manufacturing Workers

verfasst von : Nur Syafiqah Rayme, Seri Rahayu Kamat, Syamimi Shamsuddin, Wan Hasrulnizzam Wan Mahmood, Ruzy Haryati Hambali

Erschienen in: Intelligent Manufacturing & Mechatronics

Verlag: Springer Singapore

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Abstract

The software Digital Enterprise Lean Manufacturing Interactive Application (DELMIA) is a virtual simulation software that was used in digital product manufacturing. In contrast with Computer Aided Three-dimensional Interactive Application (CATIA), DELMIA ergonomics feature is built with Human Task Simulation which can simulate the design workspace virtually. However, population available for the human manikin population are excluding Malaysian population. This study is aiming to investigate the gap and the error of anthropometry data in Malaysian manufacturing workers between the Japanese and American population in DELMIA V5R2016. A sample population of 241 people at manufacturing industries was taken in this study. The total number of anthropometric parameters used for experimentation are 100 parameters obtained from literature studies. The American and Japanese population are chosen to represent the Caucasian and Asian population for comparison of 15 randomly selected parameters of anthropometry. There are several mismatches found in the anthropometry parameter between the three comparisons of the population where the percentage of error and gap in between populations are more than 5%. In conclusion, this study recommended that future research increase the sample size of the anthropometry subjects for database comparison. For future research, it is recommended to use other methods available for measurement such as digital measurement for the anthropometry database to compare the accuracy with the traditional measuring method.

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Metadaten
Titel
Mismatch in Anthropometric Parameters of Malaysian Manufacturing Workers
verfasst von
Nur Syafiqah Rayme
Seri Rahayu Kamat
Syamimi Shamsuddin
Wan Hasrulnizzam Wan Mahmood
Ruzy Haryati Hambali
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8788-2_3

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