Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Analyzing and Optimization of Material Selection Decision for Hydroforming Processes by using AHP and TOPSIS

Author : Marlapalle Bapurao Gahininathrao 1

Date of Publication :22nd February 2018

Abstract: The hydroforming process is advanced and chipless Manufacturing process used in metal forming Industries. Nowadays the application of the hydroforming is increasing day by day in manufacturing because the method gives the product strength is more and uniform in thinning percentage. In metal forming process the Hydroforming process is the hottest area of Manufacturing. This Hydroforming method is used in Aerospace, Automobile and Agriculture Industry for Manufacturing of the Products and types of equipment. The material selection is a major task for any product or process development. The SAW, AHP and TOPSIS methods are successfully used and the results are compared with each other. The SAW and AHP method give us the same result or sequence. These optimization methods are multiple attribute decision making (MADM). From these methods, we can achieve the selected objectives without any investment. In industries, they are using for whichever they are having some conflicts or inconsistency in their area

Reference :

    1. G. Kamble, R. Venkata Rao, A. V. Kale and S. P. Samant, “Selection of Cricket Players using AHP”, International Journal of Sports Science and Engineering, vol. 5, no. 4, (2011), pp. 207-212
    2. Alireza Alinezad & Azadeh Seif & Nima Esfandiari, “Supplier evaluation and selection with QFD and FAHP in a pharmaceutical company”, Int J Adv Manuf Technol, DOI 10.1007/s00170-013- 4733-3
    3. R. Venkata Rao (2007) “Decision Making in the Manufacturing Environment.” Springer Series in Advanced Manufacturing
    4. Saaty, T.L. (1980) The Analytical Hierarchy Process, McGraw-Hill, New York
    5.  J. R. San Cristobal Mateo, Multi-Criteria Analysis in the Renewable Energy Industry, Green Energy and Technology, DOI: 10.1007/978-1-4471-2346- 0_7,Springer-Verlag London Limited 2012
    6. Irfan Ertugrul & Nilsen Karakasoglu, “Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection”, Int J Adv Manuf Technol (2008) 39:783–795, DOI 10.1007/s00170- 007-1249-8
    7. Deng Yong, “Plant location selection based on fuzzy TOPSIS”, Int J Adv Manuf Technol (2006) 28: 839–844, DOI 10.1007/s00170-004-2436-5
    8. Ye CHEN, Kevin W. LI, Haiyan XU, Sifeng LIU, “A Dea-Topsis Method For Multiple Criteria Decision Analysis In Emergency Management”, J Syst Sci Syst Eng (Dec 2009) 18(4): 489-507, DOI: 10.1007/s11518-009-5120-3
    9. Mohammad Javad Rahimdel, Mohammad Karamoozian, “Fuzzy TOPSIS method to primary crusher selection for Golegohar Iron Mine (Iran)”, J. Cent. South Univ. (2014) 21: 4352−4359, DOI: 10.1007/s11771-014-2435-0
    10. Hongping Wang, Xi Lu, Yuxian Du, “Fault tree analysis based on TOPSIS and triangular fuzzy number”, Int J Syst Assur Eng Manag, DOI 10.1007/s13198-014-0323-5

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