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Title
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Optimization of Steel Bar Manufacturing Process Using six Sigma
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Sub-Title |
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Subject |
Steel bar manufacturing industry, Six sigma, Yield,Sigma Level, Design of Experiments
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Sub-Subject |
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Author |
Khawar Naeem ,Misbah Ullah ,Adnan Tariq ,Shahid Ma
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Publish Year |
2015 |
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Diss#. |
https://doi.org/10.3901/CJME.2015.1225.155 |
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Pages |
332-341 |
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Text Language |
English |
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Library Section |
Research Article |
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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
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