Abstract
Decision-making in manufacturing environment is highly complex with multiple conflicting performance measures and numerous alternatives available to the decision-maker. A systematic approach for decision-making is inevitable to arrive at the best alternative. This paper presents an integrated methodology to solve decision-making problem in wire electrical discharge machining (WEDM) of Ti-6Al-4 V alloy using the prominent multi-attribute decision-making techniques, viz. analytical hierarchy process (AHP) and grey relational analysis (GRA). In the present investigation, WEDM of Ti-6Al-4 V alloy is considered as decision-making problem with 16 alternatives and 3 sustainable performance measures (material removal rate (MRR), power consumption (PC) and surface roughness (SR)) as attributes. The objective weights obtained by AHP are used in GRA for arriving at the best alternative. The first alternative is obtained as the best choice with corresponding process parameters as \(T_{{\text{on}}} = 13\,\rm{\mu }{\text{s}}, T_{{\text{off}}} = 4\,\rm{\mu }{\text{s}}, I = 1\,{\text{A}}\) and WS = 350 rpm. Respective values of attributes are recorded as MRR = 0.0137 g/min, PC = 0.611 kW and SR = 3.851 µm. Systematic procedure for implementation of AHP-GRA integrated MADM methodology is demonstrated with illustrative example and can be used for solving decision-making problem in any manufacturing system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rao, R.V., Patel, B.K.: Decision making in the manufacturing environment using an improved PROMETHEE method. Int. J. Prod. Res. 48(16), 4665–4682 (2010). https://doi.org/10.1080/00207540903049415
Rao, R.V.: Decision Making in Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer, London (2007)
Fishburn, P.C.: Additive Utilities with Incomplete Product Set: Applications to Priorities and Assignments. Operations Research Society of America, Baltimore (1967)
Miller, D.W., Starr, M.K.: Executive Decisions With Operations Research. Prentice Hall, Englewood Cliffs, New Jersey (1969)
Saaty, T.L.: The Analytic Hierarchy Process. McGraw Hill, New York (1980)
Hwang, C.L., Yoon, K.P.: Multiple Attribute Decision Making: Methods and Applications. Springer, New York (1981)
Deng, J.L.: Introduction to grey system theory. J. Grey Syst. 1, 1–24 (1989)
Brans, J.P., Mareschal, B., Vincke, P.: PROMETHEE: A new family of outranking methods in multi-criteria analysis. In: Proceedings of Operational Research, vol. 84, Amsterdam, North Holland, pp. 477–490 (1984)
Goswami, A., Kumar, J.: Investigation of surface integrity, material removal rate and wire wear ratio for WEDM of Nimonic 80A alloy using GRA and Taguchi method. Eng. Sci. Technol. Int. J. 17, 173–184 (2014)
Alagarsamy, S.V., Ravichandran, M., Kumar, S.D., Sakthivelu, S., Meignanamoorthy, M., Chanakyanet, C.: A Taguchi coupled desirability function analysis of wire cut EDM behavior of titanium dioxide filled aluminium matrix composite. Mater. Today Proc. https://doi.org/10.1016/j.matpr.2020.01.021
Kou, G., Ergu, D., Lin, C., Chen, Y.: Pairwise comparison matrix in multiple criteria decision-making. Technol. Econ. Dev. Econ. 22(5), 738–765 (2016). https://doi.org/10.3846/20294913.2016.1210694
Manikandan, N., Kumanan, S., Sathiyanarayanan, C.: Multiple performance optimization of electrochemical drilling of Inconel 625 using Taguchi based Grey Relational Analysis. Eng. Sci. Technol. Int. J. 20, 662–671 (2017). https://doi.org/10.1016/j.jestch.2016.12.002
Kaur, M., Kadam, S.S.: Discovery of resources using MADM approaches for parallel and distributed computing. Eng. Sci. Technol. Int. J. 20, 1013–1024 (2017). https://doi.org/10.1016/j.jestch.2017.04.006
Sonawane, G.D., Sargade, V.G.: Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA). J. Braz. Soc. Mech. Sci. Eng. 41, 557 (2019). https://doi.org/10.1007/s40430-019-2057-4
Nayak, S.K., Patro, J.K., Dewangan, S., Gangopadhyay, S.: Multi-objective optimization of machining parameters during dry turning of AISI 304 austenitic stainless steel using grey relational analysis. Proc. Mater. Sci. 6, 701–708 (2014). https://doi.org/10.1016/j.mspro.2014.07.086
Nayak, S.K., Routara, B.C.: Optimization of multiple performance characteristics in electro discharge machining using grey relational analysis. Int. J. Sci. Technol. Res. 3(4). ISSN 2277-8616
Rao, C.M., Rao, S.S., Herbert, M.A.: Studies on the effect of process parameters in turning of Ti-6Al-4V alloy using TOPSIS. IOP Conf. Ser. Mater. Sci. Eng. 577, 012069 (2019). https://doi.org/10.1088/1757-899X/577/1/012069
Devarasiddappa, D., Chandrasekaran, M., Arunachalam, R.: Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm. J. Braz. Soc. Mech. Sci. Eng. 42(3), 128–145 (2020). https://doi.org/10.1007/s40430-020-2224-7
Devarasiddappa, D., Chandrasekaran, M.: Evaluation of power consumption and MRR in WEDM of Ti–6Al–4V alloy and its simultaneous optimization for sustainable production. J. Braz. Soc. Mech. Sci. Eng. 40(8), 401–418 (2018). https://doi.org/10.1007/s40430-018-1318-y
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Devarasiddappa, D., Chandrasekaran, M., Mandal, K.K. (2022). AHP-GRA Integrated Methodology for Decision-Making in WEDM of Ti-6Al-4 V Alloy. In: Das, B., Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Modeling, Simulation and Optimization. Smart Innovation, Systems and Technologies, vol 292. Springer, Singapore. https://doi.org/10.1007/978-981-19-0836-1_46
Download citation
DOI: https://doi.org/10.1007/978-981-19-0836-1_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0835-4
Online ISBN: 978-981-19-0836-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)