Optimization of steel bar manufacturing process using six sigma

Abstract

Optimization of a manufacturing process results in higher productivity and reduced wastes. Production parameters of a local steel bar manufacturing industry of Pakistan is optimized by using six Sigma-Define, measure, analyze, improve, and controlmethodology. Production data is collected and analyzed. After analysis, experimental design result is used to identify significant factors affecting process performance. The significant factors are controlled to optimized level using two-level factorial design method. A regression model is developed that helps in the estimation of response under multi variable input values. Model is tested, verified, and validated by using industrial data collected at a local steel bar manufacturing industry of Peshawar(Khyber Pakhtunkhwa, Pakistan). The sigma level of the manufacturing process is improved to 4.01 from 3.58. The novelty of the research is the identification of the significant factors along with the optimum levels that affects the process yield, and the methodology to optimize the steel bar manufacturing process.

Design and Optimization of Production Line Layout Using Material Flows

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“…They try to eliminate activities that bring no or low added value. The company can achieve these set goals by implementing methodologies such as lean production or Six Sigma [6,7].…”

Analisis Pengendalian Kualitas Produk Konstruksi Baja untuk Jembatan Menggunakan Metode Six Sigma DMAIC di Pabrik Fabrikasi Baja

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