Title: Statistical investigation of Lean Six Sigma for waste reduction in Indian SMES by identify rank define analyse improve control model
Authors: P.N. Ramkumar; K.P. Satish
Addresses: Department of Mechanical Engineering, Government Engineering College, Thrissur, India ' Department of Production Engineering, Government Engineering College, Thrissur, India
Abstract: Lean manufacturing is capable of reducing the existing rates of production to a reasonable amount and also to raise the productivity by improving the quality of the material, and hence to maximise the number of customers. In this research paper, the LSS is practiced in the small and medium scale industries for improving the productivity of the firm. For that, a new statistical method named identify rank define analyse improve control (IRDAIC) model is actualised in the Indian SMEs for handling the survey. For optimising the industrial parameters multiple nonlinear regression analysis and enhanced grey wolf optimisation is used in this paper. The proposed hybrid statistical assessment and optimisation process is executed and evaluated in the working platform of MATLAB in terms of production cost. Ultimately, from the evaluation the proposed novel statistical optimisation technique is optimal for improving the productivity of the Lean Six Sigma manufacturing firm respectively.
Keywords: industrial production; optimisation; metaheuristic algorithm; regression analysis.
International Journal of Productivity and Quality Management, 2020 Vol.30 No.2, pp.252 - 277
Received: 25 Jun 2018
Accepted: 26 Dec 2018
Published online: 17 Jun 2020 *