Design of Products and Processes: A Perspective from the Pyramid Model of Value System

Abstract:

This paper started with the review of the evolvement of industrial engineering and illustrated the new problems encountered in modern industrial engineering. By using the Seven Elements Pyramid Model in the new generation of value engineering, researchers and practitioners are able to discover the sources and processes of value generation. Moreover, since human resource is an indispensible part of value engineering, we find it is in great need of new research methods to study workers’ physiological and psychological status in the course of work. Therefore, neuroscience methods are introduced into the modern industrial engineering, creating the new field of Neural Industrial Engineering (NeuroIE).

• Periodical: Advanced Materials Research (Volumes 774-776)
• Pages: 1971-1974
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.774-776.1971
• Online since: September 2013
• Authors: Qing Guo Ma, Hui Jian Fu, Dong Xiao Niu, Ya Li Zhu, Da Chun Zhao
• Keywords: Human Factors, Neuro-Industrial Engineering, Seven Elements Pyramid Model, Value Engineering

References

[1] Maynard H B. Industrial engineering handbook[M]. New York: McGraw-Hill, (1963).

[2] Hendrick H W. Ergonomics in organizational design and management[J]. Ergonomics, 1991, 34(6): 743-756.

DOI: 10.1080/00140139108967348

[3] Ma Q, Ji W, Fu H, et al. Neuro–industrial engineering: the new stage of modern IE-from the human–oriented perspective[J]. International Journal of Services Operations and Informatics, 2012, 7(2): 150-166.

DOI: 10.1504/ijsoi.2012.051398

[4] Hollands J G, Wickens C D. Engineering psychology and human performance[M]. New Jersey: Prentice Hall, (1999).

[5] Miles L D. Value engineering[M]. Verlag Moderne Industrie, (1967).

[6] Ma Q. The development of value engineering theoretical system in the new period. In the fourth value engineering conference between Chinese mainland, Hong Kong and Taiwan (2010).

[7] Porter M E. How competitive forces shape strategy[M]. Harvard Business Review, (1979).

[8] Parasuraman R, Rizzo M. Neuroergonomics: The brain at work[M]. Oxford University Press, Inc., (2008).

[9] Glimcher P W, Rustichini A. Neuroeconomics: The consilience of brain and decision. Science, 2004, 306: 447—452.

DOI: 10.1126/science.1102566

[10] Ma Q, Shang Q, Bian J, et al. A research on the application of physiological status information to productivity enhancement[M]/Electrical Engineering and Control. Springer Berlin Heidelberg, 2011: 801-808.

DOI: 10.1007/978-3-642-21765-4_100

[11] Ma Q, Ji W, Fu H, et al. Neuro–industrial engineering: the new stage of modern IE-from the human–oriented perspective[J]. International Journal of Services Operations and Informatics, 2012, 7(2): 150-166.

DOI: 10.1504/ijsoi.2012.051398

[12] Zhou X H, Wang L, Hu Y C. Neuro-Industrial Engineering: Research and Practice[J]. Applied Mechanics and Materials, 2013, 268: 2022-(2025).