EAP - Estonian Journal of Engineering Publications

Estonian Journal of Engineering

2013 2012 2011 2010 2009 Vol. 15, Issue 4 Vol. 15, Issue 3 Vol. 15, Issue 2 Vol. 15, Issue 1 2008

Open Access Journal

Integrated knowledge-based model of innovative product and process development; pp. 13–23

PDF | doi: 10.3176/eng.2009.1.02

Authors

Algirdas Bargelis, Rasa Mankute, Dalia Cikotiene

Abstract

An integrated knowledge-based model of innovative product and process development is dealt with at a business engineering stage of the order-handling manufacturing system. Mechanical products as solid design, also new kinds of products with plastics and sheet metal design have been considered. The developed model helps to systematize and acquire knowledge and experience for definition of customer requirements, configuration of innovative products, process alternatives and preliminary costs. It furnishes a possibility for the manufacturer to find and to estimate the product and process structure and the cost at an early stage of new business engineering. This integrated knowledge-based model has been tested and adopted in two Lithuanian manufacturing companies. The proposed model is being implemented both in industry and university education process.

References

1. Ribbens, J. A. Simultaneous Engineering for New Product Development. John Wiley, New York, 2000.

2. Yan, W., Pritchard, M. C., Chen, C.-H. and Khoo, L. P. A strategy for integrating product conceptualization and bid preparation. Int. J. Advanced Manufact. Technol., 2006, 29, 616–628.
doi:10.1007/BF02729116

3. Mild, A. and Taudes, A. An agent-based investigation into the new product development capability. Comput. Math. Organiz. Theory, 2007, 13, 315–331.
doi:10.1007/s10588-006-9012-5

4. Ullman, D. G. Robust decision making for engineering design. J. Eng. Design, 2001, 12, 3–13.
doi:10.1080/09544820010031580

5. Hsing Hung Chen, He-Yau Kang, Xiaoqiang Xing, Lee, A. H. I. and Yunhuan Tong. Developing new products with knowledge management methods and process development management in a network. Computers in Industry, 2008, 59, 242–253.
doi:10.1016/j.compind.2007.06.020

6. Ayyub, B. M. Elicitation of Expert Opinions for Uncertainty and Risks. CRC Press LLC, New York, 2001.

7. Huang, G. Q. and Mak, K. L. The DFX shell: a generic framework for applying design for X tools. Int. J. Computer Integrated Manufact., 1998, 11, 475–484.
doi:10.1080/095119298130516

8. Sackus, A., Bargelis, A. and Cesnulevicius, A. Web-integrated product modelling using rapid prototyping techniques. In Proc. International Conference on Industrial Logistics ICIL’2003 (Barros, L. et al., eds.). Vaasa, 2003, 464–474.

9. Bargelis, A. Cost forecasting model of product and process development at the business conception stage. In Proc. 6th International DAAAM Baltic Conference “INDUSTRIAL ENGINEERING”. Tallinn, 2008, 303–308.

10. Bargelis, A. and Rimasauskas, M. Cost forecasting model for order-based sheet metalworking. J. Mech. Eng. Sci., 2007, 221 C, 55–65.

11. Puisa, R. and Pauza, V. Adaptive design in CAD systems. Mechanika, 2001, 6, 61–66.

12. Niemi, E. Part allocation to nesting layouts under variable demand. Int. J. Production Res., 2003, 41, 1549–1563.
doi:10.1080/1352816031000075017

13. Bargelis, A., Hoehne, G. and Cesnulevicius, A. Intelligent functional model for costs minimization in hybrid manufacturing systems. Informatica, 2004, 15, 3–22.

Back to Issue

→ Back issues