Vol 20, No 3 (2016) > Industrial Engineering >

Design of the Human Assembly Strategy in a Self-Optimizing Assembly Cell: A Case Study of Indonesians

Novie Susanto 1 , Ratna Purwaningsih 1 , Kharisma Panca Kurniawati 1

Affiliations:

  1. Department of Industrial Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia

 

Abstract: This paper presents a continuing study of the human cognitive aspect application in the technical systems. The last studies design a human-centered design based on the German culture. The result shows a significant difference of human performance between Germans and Indonesians. Therefore, this study examines the human cognitive model based on Indonesian culture to investigate whether the different cognitive model based on the culture aspect can
improve the human performance. The study was conducted on 60 people classified by age, young (16-34 years old) and old (older than 34 years old). Participants render predictions on an assembly activity for two interim states of two different types of products which are the Builderific brick and the Pulley Release based on four typesof the assembly strategy model (Reference, Combination, Human Behavior 1, and Human Behavior 2). The dependent variables are prediction time, mental workload, and predictive accuracy. The results show that the models of human assembly strategies and the products have significant influences on mental workload and predictive capability. The age variable significantly influences mental workload, performance, and prediction capabilities.
Keywords: assembly, cognitive engineering, Indonesian, strategy
Published at: Vol 20, No 3 (2016) pages: 139-146
DOI:

Access Counter: 285 views, 168 PDF downloads, .

Full PDF Download

References:

E. Herjanto, Manjemen Operasi, Ed. 3, Grasindo,

Jakarta, 2008, p.484. [In Indonesian]

M. Mayer, B. Odenthal, M. Faber, C. Winkelholz, C. Schlick, Cognitive Engineering of Automated Assembly Processes, Human Factors and Ergonomics in Manufacturing and Service Industries, Wiley Periodical, Inc., 2012, p. 21.

N. Susanto, M. Mayer, R. Djaloeis, J. Bützler, C. Schlick, Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014, Kraków, Poland, 2014, p.294.

G.B. Reid, S.S. Potter, J.R. Bressler, Subjective Beban Mental assessment technique (SWAT): a user’s guide. Wright Patterson Air Force Base, OH: Harry G. Armstrong Aerospace Medical Research Laboratory, 1989.

M. Kim, J. Oh, J. Choi, Y. Kim, In: X. Wang (Eds.), User-centered HRI: HRI Research Methodology for Designers. Mixed Reality and Human-Robot Interaction, Springer, London New York, 2011, p.33.

M.P. Mayer, C. Schlick, Conference Proceeding of the 4th International Conference on Applied Human Factors and Ergonomics (AHFE), USA Publishing, 2012, p.1272.

R. Desjardins, A. Warnke, Ageing and Skills: A

Review and Analysis of Skill Gain and Skill Loss Over the Lifespan and Over Time, OECD Education Working Papers, No. 72, OECD Publishing, 2012.

N. Meshkati, P.A. Hancock, M. Rahimi, S.M. Dawes, Evaluation of Human Work: A Practical Ergonomics Methodology, 2nd ed., Taylor & Francis, London, 1995, p.782.

C. Stoessel, M. Wiesback, S. Stork, M.F. Zaeh, A. Schuboe, The 41st CIRP Conference on Manufacturing Systems, Tokyo, Japan, 2008.