Implementation of Six Sigma Methodology in Product Design and Development using Particle Swarm Optimization Technique

Abstract

This research explores the application of Six Sigma methodology and Particle Swarm Optimization (PSO) technique in controlling defects during the product design and development phase, focusing on Polyethylene and Polypropylene production at Indorama Eleme Petrochemicals Plant. The study aims to enhance product quality, reduce production costs, and improve process efficiency by integrating Six Sigma’s DMAIC (Define, Measure, Analyze, Improve, Control) framework with PSO-based optimization strategies. Using data collected from manufacturing units, process parameters, and quality control records, the research evaluates defect trends, sigma levels, process capability indices, and cost of quality indicators before and after optimization. Results indicate significant improvements in defect reduction, yield enhancement, and process stability, demonstrating the effectiveness of combining Six Sigma and PSO in managing quality and minimizing variability. The findings contribute valuable insights for academic researchers and industry practitioners seeking innovative approaches to achieving superior sustainability performance through improved quality management and optimization techniques.

Cite as:

Briggs Otekenari Tonye, Nwoko-Iyeshim Apadhin, & Ogagavwodia Ejovi Okuma. (2026). Implementation of Six Sigma Methodology in Product Design and Development using Particle Swarm Optimization Technique.

Advancement in Mechanical Engineering and Technology, 9(2), 5–23.https://doi.org/10.5281/zenodo.20307289