A multivariate analysis and investigation on break even and productivity measures using artificial intelligence: A post research work in textile process industries

Abstract

In the textile and allied process organisations, it is approximately started that more than 1500 fabric and allied textile processing industries are exaggerated, partially closed and put down the lid off for a range of reasons such as deprived management, poor supplier presentation, lack of planning for efficiency, fluctuation of throughput, poor speculation, waste analysis, manual labour problems, funds / labour ratio, gathering of stocks, poor continuation of possessions, deficiencies in the quality of fabric, low capacity utilization, age of plant and equipment, high investment and input but low throughput, poor research and development, lack of energy, workers’ fear of loss of jobs, work force mix and work ethic. The main purpose of this work is to analyze the breathing conditions in textile fabric sector, corroborate the break even of Total Productivity (TP), analyze, design and explore a robust work for improvement of yield and quality scope in the fabric handing out industry using replacement intelligence techniques. It needs to be compatible with the reality of textile and fabric processing industries. The decidedly risk events from yield and quality measurement were originated by fuzzy systems and results are wrapped up amongst the textile fabric processing industry.