ACHIEVING THE SELECTION OF OPTIMAL PRESS BRAKE DESIGN VIA A FUZZY TOPSIS APPROACH

Arjun Raj, A. and Vinodh, S. (2016), “A case study on application of ORESTE for agile concept selection”, Journal of Engineering, Design and Technology, 14 (4), 781-801.

Balin, Abit, Demirel, Hakan, Alarcin, Fuat, 2016. A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures. J. Mar. Eng. Technol. 15 (2), 69–78.

Cevdet, G. and Cihan, M. (2011) 'An integrated fuzzy logic approach to customer-oriented product design', Journal of Engineering Design,

22, (2), 113–127.

Girod, M., Elliott, A., Burns, N.D. and Wright, I. (2003), “Decision-making in conceptual engineering design: an empirical investigation”, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 217 (9), 1215-1228.

Madi, E., Garibaldi, J.M. and Wagner, C. (2015) 'A comparison between two types of fuzzy TOPSIS method', 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9–12 October, 2015, Kowloon, Hong Kong.

Mehdi, A-A., Javadian, N. and Kazemi, M. (2012) 'A new fuzzy positive and negative ideal solution for fuzzy TOPSIS', WSEAS Transactions on Circuits and Systems, 11(3), 92–103.

Mir, B., Aryanezhad, M.J., Tarokh, M.N.M. and Zaheri, F. (2011) 'A fuzzy TOPSIS method based on left and right scores', International Journal of Industrial Engineering & Production Research, 22 (1),51–62.

Mokhtarian, M.N. and Vencheh, A.H. (2012) 'A new fuzzy TOPSIS method based on left and right scores: an application for determining an industrial zone for dairy products factory', Applied Soft Computing, Elsevier, 12 (1), 2496–2505.

Olabanji, O. M. (2020a) Appropriateness of fuzzy weighted average and fuzzy TOPSIS based on left and right scores for optimal conceptual design', Int. J. Fuzzy Computation and Modelling, 3(2), 20–144.

Olabanji, O. M. (2020b) Fuzzified synthetic extent weighted average for appraisal of design concepts, International Journal of Research in Industrial Engineering 9 (2), 190–208.

Okudan, G.E. and Tauhid, S. (2008), “Concept selection methods – a literature review from 1980 to 2008”, International Journal of Design Engineering, 1 (3), 243-277.

Olabanji O. M, and K. Mpofu, (2019a). Pugh matrix and aggregated by extent analysis using trapezoidal fuzzy number for assessing conceptual designs, Decision Science Letters 9 (1), 21–36.

Olabanji, O.M. and K. Mpofu, (2019b). Adopting hybridized multicriteria decision model as a decision tool in engineering design. Journal of Engineering, Design and Technology. 18(2), 451-479.

Olabanji O. M and K. Mpofu, (2019c). Decision analysis for optimal design concept: hybridized fuzzified weighted decision matrix and fuzzy TOPSIS using design for X tools, Procedia CIRP 84. pp. 434–441.

Olabanji, O. M and K. Mpofu, (2020a). hybridized fuzzy analytic hierarchy process and fuzzy weighted average for identifying optimal design concept. Heliyon, Elsevier. Vol. 6 No. 1pp. 1-13.

Olabanji, O. M. and K. Mpofu, (2020b). Fusing Multi-Attribute Decision Models for Decision Making to Achieve Optimal Product Design, Foundations of Computing and Decision sciences, 45 (4), 305-337.

Olabanji, O.M. and K. Mpofu, (2020c) Appraisal of conceptual designs: Coalescing fuzzy analytic hierarchy process (F-AHP) and fuzzy grey relational analysis (F-GRA), Results in Engineering, Elsevier 9 (100194), 1-16

Olabanji, O.M. and K. Mpofu, (2020d). Design Sustainability of Reconfigurable Machines, IEEE Access 8 (1)215956- 215976.

Olabanji, O. M, Mpofu, K. and Battaïa, O. (2016), “Design, simulation and experimental investigation of a novel reconfigurable assembly fixture for press brakes”, The International Journal of Advanced Manufacturing Technology, 82(1/4), 663-679.

Olabanji, O. M. and Mpofu, K. (2014), “Comparison of weighted decision matrix, and analytical hierarchy process for CAD design of reconfigurable assembly fixture”, CIRP Conference on Assembly Technologies and Systems Procedia CIRP 23, pp. 264-269.

Olabanji, O.M. (2018), “Reconnoitering the suitability of fuzzified weighted decision matrix for design process of a reconfigurable assembly fixture”, International Journal of Design Engineering, 8 (1), 38-56.

Renzi, C. and F. Leali, A multicriteria decision-making application to the conceptual design of mechanical components. Journal of Multi-Criteria Decision Analysis. 23(3-4), 87- 111, 2016.

Renzi, C., F. Leali, and L. Di Angelo, A review on decision-making methods in engineering design for the automotive industry. Journal of Engineering Design. 28(2), 118-143, 2017.

Renzi, C., F. Leali, M. Pellicciari, A.O. Andrisano, and G. Berselli, Selecting alternatives in the conceptual design phase: an application of Fuzzy-AHP and Pugh's Controlled Convergence. International Journal on Interactive Design and Manufacturing (IJIDeM). 9(1): p. 1-17, 2015.

Shanliang, Y., Ge, L. and Kedi, H. (2014) 'Group decision-making model using fuzzy-TOPSIS method for FMS evaluation', Advances in Automatic Control, pp.37–45, ISBN: 978-960-474-383-4.

Shofwatul, U. and Imam, R. (2011) 'A fuzzy TOPSIS multiple-attribute decision making for scholarship selection', TELKOMNIKA, 9(1), 37–46.

Yeo, S., M. Mak, and S. Balon, Analysis of decision-making methodologies for desirability score of conceptual design. Journal of Engineering Design. 15(2), 195-208, 2004