Abstract

In this study, the output parameters of design-for-manufacturing software prepared by this group and the powerful Catia Software have been studied, in an attempt to reach a vivid notion on minimizing the costs in units manufacturing industrial work pieces and further ascertain and compare the validity of the output from the new software with those obtained from Catia. Companies around the world are in serious competition for tools that would promote their production in terms of efficiency, speed and costs. On the other hand, designers would not be able to consider products in isolation; neither can they afford to spend too much time on an engineering idea proposed by a manufacturing engineer in order to discover suitable methods for manufacturing that product. The design and manufacturing engineers, therefore, need to work as a team in order to reach optimum solutions on designs and production methods, while effectively reducing production costs at the same time. It would be imperative to establish a powerful integrity between the experts, tools, methods and resources of the design, engineering and production stages of creating a product that would win the satisfaction of customers, designers and manufacturers.

Keywords:

Catia, cost, design for manufacturing software, machining, modeling, optimization,

References

1. Adithan, M., 1995. Information Technology for Manufacturing: A Research Agenda. National Academies Press, Washington, DC, pp: 45-50.
   
2. Corrado, P., 2001. Design for Manufacturing: A Structured Approach. Elsevier Science and Technology Books, pp: 215-229, ISBN: 978-0-7506-7341-9.
   
3. DiGironimoa, G., L. Antonio and V. Amalia, 2006. Concept design for quality in virtual environment. Comput. Graph., 30(6): 1011-1019.
   CrossRef    
4. Geoffrey, B., 1989. Fundamentals of Machining and Machine Tools. Scripta Book Co., McGraw-Hill Inc., New York.
   
5. George, E.D., 1997. Materials Selection and Design. Vol. 20, ASM Handbook. ASM International Handbook Committee, ISBN: 0-87170-377-7 (V.1)
   
6. Hu, S.J., J. Ko and L. Weyand, 2011. Assembly system design and operations for product variety. CIRP Ann-Manuf. Techn., 60(2): 715-733.
   
7. Hugh, J., 2013. Engineering Design, Planning and Management. Manufacturing Design, Chapter 11. Academic Press, Amsterdam, Boston, pp: 419-468.
   
8. James, G.B., 1998. Design for manufacturability. J. Manuf. Syst., 18(5): 378.
   
9. Kuang-Hua, C., 2013. Product Manufacturing and Cost Estimating Using Cad/Cae. Elsevier Science, Burlington, pp: 1-38.
   
10. Nam, P.S., S.C. David and C.L. Paulo, 1998. Manufacturing system design. CIRP Ann-Manuf. Techn., 47(2): 627-639.
    
11. Tsai, C.K., H.H. Samuel and C.Z. Hong, 2001. Design for manufacture and design for 'X': Concepts, applications and perspectives. Comput. Ind. Eng., 41(3): 241-260.
    CrossRef    
12. Vilaa, J.P. and J.P. Gauchi, 2010. Local optimality of replications from a minimal X-optimal design in regression: A sufficient and quasi-necessary condition. Stat. Methodol., 7(1): 41-57.
    CrossRef    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.