Article: Improvement in performance measures by desirability coupled with Lean Six Sigma tool on titanium matrix composite: a novel approach Journal: International Journal of Six Sigma and Competitive Advantage (IJSSCA) 2021 Vol.13 No.1/2/3 pp.38 - 54 Abstract: Machining titanium matrix composites (TMCs) by conventional methods is incredibly obscure for its enhanced strength and corrosion resistant properties, and vastly used in aerospace, automobile, and bio-medical applications. The main scope is to obtain an improvement in performance measures from multi-objective optimisation (MOO). Hence desirability (D) approach is coupled with Lean Six Sigma (LSS) to obtain a novel algorithm called desirable Lean Six Sigma (DLSS). Three performance criteria like financial, operational and innovation performances are assigned by five decision makers based on importance and weightage. Improved productivity is obtained with enhanced material removal rate (MRR) and low surface roughness (SR), reducing wastes and ensuring finer product quality and customer satisfaction. An optimised solution is achieved when the combined desirability is obtained at 0.716. All process parameters exhibited massive impact on performance measures. The outcomes are validated by confirmatory tests, and enhanced % improvement is achieved when compared with LSS. Inderscience Publishers - linking academia, business and industry through research

Title: Improvement in performance measures by desirability coupled with Lean Six Sigma tool on titanium matrix composite: a novel approach

Authors: Soutrik Bose; Titas Nandi

Addresses: Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, West Bengal, India; Department of Mechanical Engineering, MCKV Institute of Engineering, 243 G.T. Road (N), Liluah, Howrah 711204, West Bengal, India ' Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, West Bengal, India

Abstract: Machining titanium matrix composites (TMCs) by conventional methods is incredibly obscure for its enhanced strength and corrosion resistant properties, and vastly used in aerospace, automobile, and bio-medical applications. The main scope is to obtain an improvement in performance measures from multi-objective optimisation (MOO). Hence desirability (D) approach is coupled with Lean Six Sigma (LSS) to obtain a novel algorithm called desirable Lean Six Sigma (DLSS). Three performance criteria like financial, operational and innovation performances are assigned by five decision makers based on importance and weightage. Improved productivity is obtained with enhanced material removal rate (MRR) and low surface roughness (SR), reducing wastes and ensuring finer product quality and customer satisfaction. An optimised solution is achieved when the combined desirability is obtained at 0.716. All process parameters exhibited massive impact on performance measures. The outcomes are validated by confirmatory tests, and enhanced % improvement is achieved when compared with LSS.

Keywords: Lean Six Sigma; LSS; response surface methodology; RSM; analysis of variance; ANOVA; WEDM; multi-objective optimisation; MOO.

DOI: 10.1504/IJSSCA.2021.120226

International Journal of Six Sigma and Competitive Advantage, 2021 Vol.13 No.1/2/3, pp.38 - 54

Received: 31 Aug 2020
Accepted: 17 Jan 2021
Published online: 11 Jan 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: Improvement in performance measures by desirability coupled with Lean Six Sigma tool on titanium matrix composite: a novel approach

Keep up-to-date