Critical Success Factors of Green Design Implementation for Malaysia Automotive Industry

Abstract:

As manufactured vehicles have become more global, the competitive pressures from multi-national companies have increased substantially. Based on that, it is clearly shows that, the important of understanding the implementation of green indicators concept. Hence, the principal aim of this paper is to highlight the establishment of Green Design concept for Malaysia automotive industry by establishing a set of ‘Critical Success Factors’ that will be applied at the design stage. Survey methodology was employed to collect data. Data were obtained from 104 automotives companies and related suppliers in Malaysia with 29% response rate. This paper presents findings of Confirmatory Factor Analysis (CFA) results on green design concept for Malaysia automotive industry.

• Periodical: Advanced Materials Research (Volumes 383-390)
• Pages: 3395-3402
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.383-390.3395
• Online since: November 2011
• Authors: Norhayati Zakuan, M.Z.M. Saman, A.R. Hemdi
• Keywords: Confirmatory Factor Analysis, Critical Factors, Green Design Concept, Malaysia Automotive Industries

References

[1] Khan, F. I. (2001) GreenPro: a new methodology for cleaner and geener process design, Memorial University of Newfoundland, Newfoundland, Canada.

[2] Messler, R. W. (2000) Trends in key joining technologies for the twenty-first century, MCB University Press, New York, U.S.A., 20(2), pp.118-128.

DOI: 10.1108/01445150010321733

[3] Toffel, M. W., (2002) End-of-Life product recovery: Prior research and future directions. Haas School of Business, University of California, Berkeley. Working paper, http: /www. toffel. com.

[4] Ishii, K., Eubanks, C.F., Marco, P.D., (1994) Design for product retirement and material life-cycle. Journal of Materials & Design, 15(4), pp.225-233.

DOI: 10.1016/0261-3069(94)90007-8

[5] Soorathep, K. and Masahiko, H., (2004) Environmentally benign separation process synthesis, Journal Chemical Engineering, 37(2), pp.243-252.

[6] Ciric, A.R. and Jia, T., (1994) Economic sensitivity analysis of waste treatment costs in source reduction projects: continuous optimization problems, Computer Chemical Engineering, 18, p.481.

DOI: 10.1016/0098-1354(93)e0004-s

[7] Ljungberg, L. Y. (2007) Materials selection and design for development of sustainable products, Materials & Design, 28(2), pp.466-479.

DOI: 10.1016/j.matdes.2005.09.006

[8] Koyluoglu, M. S and Landes, S. (2006) Chapter 21: Implementing of green engineering principles in the automotive industry, Sustainability Science and Engineering, 1,  pp.435-442.

DOI: 10.1016/s1871-2711(06)80028-0

[9] Curkovic, S., Sroufe, R. and Melnyk, S. (2005) Identifying the factors which affect the decision to attain ISO 14000, Journal of Energy, 30(8),  pp.1387-1407.

DOI: 10.1016/j.energy.2004.02.016

[10] Chang, T.L. (2002). Six Sigma: A framework for small and medium sized enterprises to achieve total quality. PhD Dissertation.: Cleveland State University.

[11] Moser, C.A. and Kalton, G. (1971). Survey methods in social investigation. 2nd Edition, Heinemann Educational: London.

[12] Mangione, T.W. (1995). Mail Surveys – Improving the quality. Sage Publications: London.

[13] Saraph, J.V., Benson, P.G. and Schroeder, R.G. (1989). An instrument for measuring the critical factors of quality management. Decision Science. 20, pp.810-829.

DOI: 10.1111/j.1540-5915.1989.tb01421.x

[14] Flynn, B.B., Schroeder, R.G. and Sakakibara, S. (1994). A framework for quality management research and an associated measurement instrument. Journal of Operations Management. 11, pp.339-366.

DOI: 10.1016/s0272-6963(97)90004-8

[15] Aamadi, A. (2002). Mathematic and Statistic. Tehran Universities Publications Centres: Tehran.

[16] Nunnally, J.C. (1978). Psychometric Theory. 2nd ed., McGraw-Hill, New York, NY.

[17] Chinna, K., (2009). Structural Equation Modeling Using AMOS. Lecture Note for SPSS User' Group, Kuala Lumpur: Malaysia. p.20.

[18] Joreskog. K.G., and Sorbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago: Scientific Software International.

[19] Bentler, P.M. (1988). Causal modeling via structural equations systems. In Nesselroade, J.R. and Cattell, R. B., Handbook of multivariate experimental psychology (2nd Ed. ). New York: Plenum.

DOI: 10.1007/978-1-4613-0893-5_9

[20] Bentler, P.M., and Bonett, D.G. (1987). This week's citation classic. Current contents, Social and Behavioral Sciences. 19, p.16.

[21] Browne, M.W., and Cudeck, R. (1993). Alternative ways of assessing model fit. In K.A. Bollen and J.S. Long (Eds. ). Testing structural equation models. Newbury Park, CA: Sage. pp.445-455.