Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30127
Binary Programming for Manufacturing Material and Manufacturing Process Selection Using Genetic Algorithms

Authors: Saleem Z. Ramadan

Abstract:

The material selection problem is concerned with the determination of the right material for a certain product to optimize certain performance indices in that product such as mass, energy density, and power-to-weight ratio. This paper is concerned about optimizing the selection of the manufacturing process along with the material used in the product under performance indices and availability constraints. In this paper, the material selection problem is formulated using binary programming and solved by genetic algorithm. The objective function of the model is to minimize the total manufacturing cost under performance indices and material and manufacturing process availability constraints.

Keywords: Optimization, Material selection, Process selection, Genetic algorithm.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338894

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1092

References:


[1] M. F. Ashby, Multi-objective optimization in material design and selection, Acta mater. 48 (2000) 359-369
[2] Ashby, MF. ‘Materials selection in mechanical design’ Pergamon Press, Oxford, 1992
[3] M.F. Ashby and D. Cebon, Materials selection in mechanical design, Troisieme Conference Europeennesur les Materiaux et les ProcedesAvancesEuromat ‘93, Paris, June 8-10 1993
[4] Niu B, Olhoff N, Lund E, Cheng GD. Discrete material optimization of vibrating laminated composite plates for minimum sound radiation. Int J Solids Struct 2010; 47:2097–114.
[5] Xu ZS, Huang QB, Zhao ZG. Topology optimization of composite material plate with respect to sound radiation. Eng Anal Bound Elem 2011; 35:61–7.
[6] Zhang J, Chaisombat K, He S, Wang CH. Hybrid composite laminates reinforced with glass/carbon woven fabrics for lightweight load bearing structures. Mater Des 2012; 36:75–80.
[7] Dieter, G.E. Engineering design a material and processing approach. NY: McGraw-Hill; 1991
[8] Kasim M. Daws, Zouhair I. AL-Dawood, Sadiq H. AL-Kabi, Selection of Metal Casting Processes: A Fuzzy Approach, Jordan Journal of Mechanical and Industrial Engineering, Volume 2, Number 1, Mar. 2008, pp. 45 – 52.
[9] Esawi A., Ashby M., “The Development and Use of a Software Tool for Selecting Manufacturing Process at EarlyStages of Design”. Conference on Integrated Design and Process Technology, Berlin, Germany, 1998.
[10] Karthik, S., Chung C.W, Ramani K. &Tomovic M. “Methodology for Metal-Casting Process Selection” Society of Automotive Engineers, Inc., 2002
[11] Yusheng Chen Saty and Gupta K, “A Web-Based Process/Material Advisory System ". ASME International Metal Engineering Proceedings, Orlando, Florida, 2000
[12] Holland, J. H. 1975. Adaptation in Natural and Artificial Systems. University of Michigan Press. (Second edition: MIT Press, 1992)
[13] Karthik S., Patwardhan H., Chung C., and Ramani K., “Rapid Application Development of Process Capability Supplier.” Computer and Information in Engineering (CIE) Conference, Chicago, USA, 2003.
[14] Yusheng Chen Saty and Gupta K, “A Web-Based Process/ Material Advisory System ". ASME International Metal Engineering Proceedings, Orlando, Florida, 2000.
[15] Gursel, A. Suer, and Badurdeen, F. Capacitated lot sizing by using multi-chromosome crossover strategy, J Intell manuf, (2008) 19:273- 282.