Abstract

In this paper, we illustrate the use of the Analytical Hierarchy Process (AHP) as a decision support model to help secondary steel makers understand the trade-offs between various process parameters. We then illustrate how AHP can be applied to measure the relative importance of various parameters and to assess the relative effect on the yield strength of manufactured steel. The Analytical Hierarchy Process (AHP) is a theory of measurement through pair wise comparisons and depends on the knowledge of experts. Five criteria have been identified for improving yield strength of secondary steel. A systematic approach to evaluate quality has been developed using the analytical hierarchy process, which enables the combination of tangible and intangible criteria and checking the consistency of decision-making and also helps to improve agility of secondary steel recycling industries. The main objective of this paper is to prioritize parameters for steel recycling using AHP, in the context of Indian steel recycling industries. Understanding these priorities help secondary steel industries to develop strategies to improve quality of steel produced. This approach has been implemented in a prototype for checking in practice.The Main contribution to the field is Quality Improvement in secondary steel manufacturing. The Novel thing about this work is in practical application and enhancement in value of the final product. Yes, this paper has industrial applications. The likely users are Secondary Steel Manufacturers in particular around the world for quality improvement

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