{"title":"Binary Programming for Manufacturing Material and Manufacturing Process Selection Using Genetic Algorithms","authors":"Saleem Z. Ramadan","volume":110,"journal":"International Journal of Industrial and Manufacturing Engineering","pagesStart":256,"pagesEnd":260,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10003522","abstract":"The material selection problem is concerned with the
\r\ndetermination of the right material for a certain product to optimize
\r\ncertain performance indices in that product such as mass, energy
\r\ndensity, and power-to-weight ratio. This paper is concerned about
\r\noptimizing the selection of the manufacturing process along with the
\r\nmaterial used in the product under performance indices and
\r\navailability constraints. In this paper, the material selection problem
\r\nis formulated using binary programming and solved by genetic
\r\nalgorithm. The objective function of the model is to minimize the
\r\ntotal manufacturing cost under performance indices and material and
\r\nmanufacturing process availability constraints.","references":"[1] M. F. Ashby, Multi-objective optimization in material design and\r\nselection, Acta mater. 48 (2000) 359-369\r\n[2] Ashby, MF. \u2018Materials selection in mechanical design\u2019 Pergamon Press,\r\nOxford, 1992\r\n[3] M.F. Ashby and D. Cebon, Materials selection in mechanical design,\r\nTroisieme Conference Europeennesur les Materiaux et les\r\nProcedesAvancesEuromat \u201893, Paris, June 8-10 1993\r\n[4] Niu B, Olhoff N, Lund E, Cheng GD. Discrete material optimization of\r\nvibrating laminated composite plates for minimum sound radiation. Int J\r\nSolids Struct 2010; 47:2097\u2013114.\r\n[5] Xu ZS, Huang QB, Zhao ZG. Topology optimization of composite\r\nmaterial plate with respect to sound radiation. Eng Anal Bound Elem\r\n2011; 35:61\u20137.\r\n[6] Zhang J, Chaisombat K, He S, Wang CH. Hybrid composite laminates\r\nreinforced with glass\/carbon woven fabrics for lightweight load bearing\r\nstructures. Mater Des 2012; 36:75\u201380.\r\n[7] Dieter, G.E. Engineering design a material and processing approach.\r\nNY: McGraw-Hill; 1991\r\n[8] Kasim M. Daws, Zouhair I. AL-Dawood, Sadiq H. AL-Kabi, Selection\r\nof Metal Casting Processes: A Fuzzy Approach, Jordan Journal of\r\nMechanical and Industrial Engineering, Volume 2, Number 1, Mar.\r\n2008, pp. 45 \u2013 52.\r\n[9] Esawi A., Ashby M., \u201cThe Development and Use of a Software Tool for\r\nSelecting Manufacturing Process at EarlyStages of Design\u201d. Conference\r\non Integrated Design and Process Technology, Berlin, Germany, 1998.\r\n[10] Karthik, S., Chung C.W, Ramani K. &Tomovic M. \u201cMethodology for\r\nMetal-Casting Process Selection\u201d Society of Automotive Engineers,\r\nInc., 2002\r\n[11] Yusheng Chen Saty and Gupta K, \u201cA Web-Based Process\/Material\r\nAdvisory System \". ASME International Metal Engineering\r\nProceedings, Orlando, Florida, 2000\r\n[12] Holland, J. H. 1975. Adaptation in Natural and Artificial Systems.\r\nUniversity of Michigan Press. (Second edition: MIT Press, 1992)\r\n[13] Karthik S., Patwardhan H., Chung C., and Ramani K., \u201cRapid\r\nApplication Development of Process Capability Supplier.\u201d Computer\r\nand Information in Engineering (CIE) Conference, Chicago, USA, 2003.\r\n[14] Yusheng Chen Saty and Gupta K, \u201cA Web-Based Process\/ Material\r\nAdvisory System \". ASME International Metal Engineering\r\nProceedings, Orlando, Florida, 2000.\r\n[15] Gursel, A. Suer, and Badurdeen, F. Capacitated lot sizing by using\r\nmulti-chromosome crossover strategy, J Intell manuf, (2008) 19:273-\r\n282.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 110, 2016"}