 Improving conformance to quality requirements in making hot metalArup Ranjan Mukhopadhyay and Jit Kumar Mitra International Journal of Productivity and Quality Management, 2018, vol. 24, issue 4, 441-459 Abstract: The quality of the output hot metal in mini blast furnace is assessed by the extent of conformity to specifications of different chemical constituents. It is crucially important to maximise the conformance to specifications of C%, Si%, S% and carbon equivalent (CE). The objective of the study thus turned out to be to achieve the optimum quantum of the input material and that of the input parameters of the furnace for which the extent of conformance is maximised. The approach adopted is to build up regression equations between furnace output and furnace input and subsequent optimisation using the method of moving asymptotes. The novelty of this work can be seen through application of this improved process optimisation methodology. The amount of non-conformity has turned out to be nil for C% and Si% from their respective baselines of 12.5% and 29.7%. Through this paper practitioners and researchers can understand as to how statistical and quantitative tools can be applied in a systematic manner for solving a real life quality problem. Keywords: optimisation; process improvement; statistical decision making; empirical modelling; quality assurance. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:24:y:2018:i:4:p:441-459 Access Statistics for this article More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd |
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