JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Optimization of Several Environmental Factors to Human Performance by Using Taguchi Method
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Optimization of Several Environmental Factors to Human Performance by Using Taguchi Method
Ismail, A.R.; Haniff, M.H.M.; Yusof, M.Y.M.; Rahman, M.N.A.; Ghani, J.A.;
  PDF(new window)
 Abstract
The objective of this study is to determine the dominance effects of environmental factors such as Illuminance, humidity and Wet Bulb Globe Temperature (WBGT) on the operators' productivity at Malaysian electronic industry. A case study was carried out at an electronic components assembly factory. The environmental factors examined were the Illuminance (lux), humidity and WBGT of the surrounding workstation area. Two sets of representative data including the illuminance, humidity and WBGT level and production rate were collected during the study. The production rate data were collected through observations and survey questionnaires while the illuminance level was measured using photometer model RS 180-7133, the humidity and WBGT level were measured by using Quest Temp apparatus and humidity. Taguchi Method was utilized to find the sequence of dominant factors that contributed to the productivity of operator at that specified production workstation. The study reveals that the dominant factor contributed to the productivity was WBGT, followed by illuminance and humidity.
 Keywords
Poductivity;Iluminance;Hmidity;Wet Bulb Globe Temperature(WBGT);Dminant;
 Language
English
 Cited by
 References
1.
Bommel, W. J. M., Van Den Beld, G. J., and Van Ooyen, M. H. F. (2002), Industrial Lighting And Productivity. Technical Report From Philips, The Netherlands, August.

2.
Boyce, P. (2004), Window and Office: A Study of Office Worker Performance and the Indoor Environment, Technical Report, Lighting Research Centre, Rensselaer Polytechnic Institute.

3.
Dua, J. K. (1994), Job Stressors and Their Effects on Physical Health, Emotional Health, and Job Satisfaction in a University, Journal of Educational Administration, 32(1), 59-78. crossref(new window)

4.
Ettner, S. L. and Grzywacz, J. G. (2001), Workers' perceptions of how jobs affect health: a social ecological perspective, Journal of Occupational Health Psychology, 6(2), 101-131.

5.
Fisk W. J. and Rosenfeld A. H. (1997), Estimates of improved productivity and health from better indoor environments. Indoor Air, 7, 158-172. crossref(new window)

6.
Fisk, W. J. (2000), Health and Productivity Gains From Better Indoor Environments and Their Relationship with Building Energy Efficiency. Annual Review of Energy and The Environment, 25(2), 537-566. crossref(new window)

7.
Juslen, H. and Tenner, A. (2005), Mechanisms Involved In Enhancing Human Performance By Changing The Lighting In The Industrial Workplace, International Journal of Ergonomic, 35(9), 843-855. crossref(new window)

8.
Kopac, J., Bahor, M. and Sokovic, M. (2002), Optimal Machining Parameters for Achieving the Desired Surface Roughness in Fine Turning of Cold pre-Formed Steel Workpieces, In Press (internet), International Journal of Machine Tool And Manufacture.

9.
Leaman, A. (1995), Dissatisfaction and office productivity, Facilities, 13(2), 13-19. crossref(new window)

10.
Lin, T. R. (2002), Experimental Design and Performance Analysis of TiN-Coated Carbide Tool in Face Milling Stainless Steel, In Press, Journal of Material Processing Technology, 56(54), 1-7.

11.
Marshall, L., Erica, W., Alan, A. and Sanborn, M. D. (2002), Identifying and Managing Adverse Environmental Health Effects: 1. Taking an Exposure History, Canadian Medical Association Journal, 166(8), 1049-1055.

12.
Niemela, R., Hannula, M., Rautio, S., Reijula, K. and Railio, J. (2002), The effect of air temperature on labour productivity in call centres- a case study, Energy and Buildings, 34, 759-764. crossref(new window)

13.
Olesen, B. W. (1995), International standards and the ergonomics of the thermal environment, Journal of Applied Ergonomics, 26, 293-302. crossref(new window)

14.
Park, S. H. (1996), Robust Design and Analysis for Quality Engineering, Chapman and Hall.

15.
Phadke, M. S. (1989), Quality Engineering Using Robust Design, Prentice Hall, New Jersey

16.
Roy, V. K. Nutek, Inc, http://www.vkroy.com/up-doe.html Shikdar, A. A. and Sawaqed, N. M. (2003), Worker productivity, and occupational health and safety issues in selected industries, Computers and Industrial Engineering, 45(4), 563-572. crossref(new window)

17.
Si, C. T. and Tong, L. I. (1997), Multi Response Robust Design by Principal Component Analysis, Total Quality Management, 8(6), 409-416. crossref(new window)

18.
Staffan, H. and Knez, I. (2001), Effect of Noise, Heat, And Indoor Lighting On Cognitive Performance And Self-Reported Affect, Journal of Environment Psychology, 21(3), 291-299. crossref(new window)

19.
Tarcan, E., Varol, E. S., and Ates, M. A. (2004), Qualitative Study of Facilities and Their Environ-mental Performance Management of Environmental Quality: An International Journal, 15(2), 154-173.

20.
Tsui, K. L. (1999), Modeling and Analysis of Dynamic Robust Design Experiments, IEE Transactions, 31, 113-1122.

21.
Tsutsumi, H., Tanabe, S., Harigaya, J., Iguchi, Y. and Nakamura, G. (2007), Effect of Humidity On Human Comfort And Productivity After Step Changes From Warm And Humid Environment, Journal of Building and Environment, Building and Environment, 42(12), 4034-4042. crossref(new window)

22.
Unal, R. and Dean, E. B. (1991), Taguchi approach to Design optimization for Quality and Cost: an Overview, Proceeding of the International Society of Parametric Analyst 13 th Annual May, 21-24.

23.
Yang, W. H. and Tarng, Y. S. (1998), Design Optimization of Cutting Parameters for Turning Operations Based on the Taguchi Method, Journal of Material Processing Technology, 84, 122-129. crossref(new window)

24.
Zhang, C. and Wang, H. P. (1998), Robust Design of Assembly and Machining Tolerance Allocations, IEE Transactions, 30, 17-29. crossref(new window)