Abstract
The automotive manufacturing industry has transitioned in the past 20 years from a central technical focus to an integrated and globally distributed supply chain. As car makers outsource not only a greater portion of their manufacturing, but also their technical design responsibility, a more thorough understanding of both design and manufacturing changes’ effect on total vehicle and total production system performance and cost is critical. The distribution of technical responsibility in automotive manufacturing has motivated the development of a specific curriculum in Automotive Engineering at Clemson University in South Carolina, USA, with core focus on the interaction between systems, both in design and manufacturing. In this development, a detailed survey of automotive Original Equipment Manufacturers and major suppliers was carried out. The differences in perceived need between these organization types is explored, and the incorporation of these perceived needs to a new Automotive Engineering curriculum is presented.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Amadi-Echendu J. E., Higham E. H. (1997) Curriculum development and training in process measurements and control engineering. Engineering Science and Education Journal 6(3): 104–108
Automotive News. (2008). Global market data book. Retrieved Feb 12, 2009 from http://www.autonews.com/datacenter.
Balic J., Abersek B. (1997) Model of an integrated intelligent design and manufacturing system. Journal of Intelligent Manufacturing 8(4): 263–270
Balic J., Kovacic M. et al (2006) Intelligent programming of CNC turning operations using genetic algorithm. Journal of Intelligent Manufacturing 17(3): 331–340
Beasley D. E., Biggers S. B. et al (1995) Curriculum development: An integrated approach. IEEE, Atlanta, GA, USA
Beasley, D. E., Elzinga, D. J., et al. (1996). Curriculum innovation and renewal. Washington, DC: American Society for Engineering Education (Washington, DC 20036, United States).
Berruet P., Toguyeni A. K. A. et al (1999) Tolerance evaluation of flexible manufacturing architectures. Journal of Intelligent Manufacturing 10(6): 471–484
Borthwick J., John D. et al (2000) Evidence of skill shortages in the automotive repairs and service trades. National Centre for Vocational Education Research, Leabrook
Brezocnik M., Balic J. et al (2002) Genetic programming approach to determining of metal materials properties. Journal of Intelligent Manufacturing 13(1): 5–17
Cenesiz N., Esin M. (2004) Controller area network (CAN) for computer integrated manufacturing systems. Journal of Intelligent Manufacturing 15(4): 481–489
Center for Automotive Research (Economics and Business Group). (2003). The contribution of the international auto sector to the US economy. Ann Arbor, MI: University of Michigan Transportation Research Institute.
Deisenroth, M. P., & Mason, W. H. (1996). Curriculum development in aerospace manufacturing. Washington, DC: American Society for Engineering Education (Washington, DC 20036, United States).
Emadi A., Jacobius T. M. (2004) Interprofessional projects in advanced automotive power systems: An integrated education and research multidisciplinary approach. IEEE Transactions on Education 47(3): 356–361
Feng S. C. (2003) A machining process planning activity model for systems integration. Journal of Intelligent Manufacturing 14(6): 527–539
Filos E., Banahan E. (2001) Towards the smart organization: An emerging organizational paradigm and the contribution of the European RTD programs. Journal of Intelligent Manufacturing 12(2): 101–119
Guerra-Zubiaga D., Elizalde H. et al (2008) Product life-cycle management tools and collaborative tools applied to an automotive case study. International Journal of Engineering Education 24(2): 266–273
Gungor Z., ArIkan F. (2007) Using fuzzy decision making system to improve quality-based investment. Journal of Intelligent Manufacturing 18(2): 197–207
Hauser D. P., DeWeck O. L. (2007) Flexibility in component manufacturing systems: Evaluation framework and case study. Journal of Intelligent Manufacturing 18(3): 421–432
Hill K., Brahmst E. (2003) The auto industry moving south: An examination of trends. Center for Automotive Research, University of Michigan, Ann Arbor, MI, pp 1–14
Hsieh S., Wu M.-S. (2000) Demand and cost forecast error sensitivity analyses in aggregate production planning by possibilistic linear programming models. Journal of Intelligent Manufacturing 11(4): 355–364
Jiacun W., Yi D. (1999) Incremental modeling and verification of flexible manufacturing systems. Journal of Intelligent Manufacturing 10(6): 485–502
Jiles D. C., Akinc M. et al (2002) Vertically integrated engineering design for combined research and curriculum development in materials engineering and nondestructive evaluation. AIP, Brunswick, MN
Kogure M., Akao Y. (1983) Quality function deployment and CWQC in Japan. Quality Progress 16(10): 25–29
Lee B., Stephens S. (2004) Oklahoma’s Mid-Del Tech center meets the electric vehicle training challenge (IT Works). Techniques 79(4): 60(2)
Lerman R. I. (2008) Building a wider skills net for workers: A range of skills beyond conventional schooling are critical to success in the job market, and new educational approaches should reflect these noncognitive skills and occupational qualifications. Issues in Science and Technology 24(4): 65(6)
Lopez-Ortega O., Ramirez M. (2005) A STEP-based manufacturing information system to share flexible manufacturing resources data. Journal of Intelligent Manufacturing 16(3): 287–301
Mativo, J. M. (2005). Curriculum development in industrial technology: Materials science and processes. Portland, OR: American Society for Engineering Education (Chantilly, VA 20153, United States).
McGrath S. (2007) Transnationals, globalisation and education and training: Evidence from the South African automotive sector. Journal of Vocational Education and Training 59(4): 575–589
Mehrabi M. G., Ulsoy A. G. et al (2002) Trends and perspectives in flexible and reconfigurable manufacturing systems. Journal of Intelligent Manufacturing 13(2): 135–146
Miller, M. H. (1998). Industry internships as a tool for curriculum development. Seattle, WA: ASEE (Washington, DC, USA).
Rahimifard S., Newman S. T. (1999) Application of information systems for the design and operation of flexible machining cells. Journal of Intelligent Manufacturing 10(1): 21–27
Rokach L., Maimon O. (2006) Data mining for improving the quality of manufacturing: A feature set decomposition approach. Journal of Intelligent Manufacturing 17(3): 285–299
Schneider, J.-G., Johnston, L., et al. (2005). Curriculum development in educating undergraduate software engineers—Are students being prepared for the profession? Brisbane: Institute of Electrical and Electronics Engineers Computer Society (Piscataway, NJ 08855-1331, United States).
Shea J. E., West T. M. (1996) A methodology for curriculum development using multi-objective programming. Elsevier, Miami, FL
Shih, S. C. (1994). An application of computer-integrated manufacturing, concurrent engineering, and total quality management concepts to the critical thinking in design curriculum development for integrated manufacturing systems engineering. 1994 ASEE Annual Conference. Edmunton: ASEE.
Tapper, J. (2001). Industry driven curriculum development, the key to successful courseware. Albuquerque, NM: American Society for Engineering Education (Washington, DC 20036, United States).
Te-Sheng L., Cheng-Lung H. et al (2006) Data mining using genetic programming for construction of a semiconductor manufacturing yield rate prediction system. Journal of Intelligent Manufacturing 17(3): 355–361
Thom M., Crossley W. et al (2002) The application of structured engineering design methodologies to engineering curriculum development. Institute of Electrical and Electronics Engineers, Boston, MA
Van Der Linde C. H. (2000) A new perspective regarding capacities of educational institutions to create work (bibliography included). Education 121(1): 54
Vosniakos G. C., Segredou I. et al (2005) Logic programming for process planning in the domain of sheet metal forming with progressive dies. Journal of Intelligent Manufacturing 16(4–5): 479–497
Wang K. (1998) An integrated intelligent process planning system (IIPPS) for machining. Journal of Intelligent Manufacturing 9(6): 503–514
Yao Y. L., Cheng G. J. et al (2005) Combined research and curriculum development of nontraditional manufacturing. European Journal of Engineering Education 30(3): 363–376
Zargari, A., Hayes, R., et al. (1999). Curriculum development in manufacturing technology: A survey of Society of Manufacturing Engineers (SME) college fellows. Charlotte, NC: American Society for Engineering Education (Washington, DC 20036, United States).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Mears, L., Omar, M. & Kurfess, T.R. Automotive engineering curriculum development: case study for Clemson University. J Intell Manuf 22, 693–708 (2011). https://doi.org/10.1007/s10845-009-0329-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-009-0329-z