A Review on Productivity and Quality Improvement through Optimization of Input Parameters in the Indian Rolling Mills

[Amit Bankar, Hemant Bansod, Vijay Kalbande, Pankaj Jaiswal] Volume 5: Issue 1, March 2018, pp 18-23

DOI: 10.26706/IJAEFEA.1.5.20180302
----------------------------------------------------------------------------------------------------------------------------------------------
Abstract - India has risen as the fourth biggest steel delivering country on the planet, according to the current figures discharge by World Steel Relationship in April 2011. The Indian steel industry represented around 5% of the world's aggregate generation in 2010. Steel re-rolling is a standout amongst the most essential portions of the steel business, as it constitutes an unavoidable connection in the aggregate inventory network of iron and steel. The auxiliary steel creation constitutes around 57% of the aggregate steel generation in India. It essentially happens in steel re-moving factories (SRRM) that as a rule are family-run little and medium undertakings (SMEs) with 75% of units in the little scale. The steel business in India is one where supervisors appear to firmly have confidence in the customary method for working together, which could bring protection against any new quality change device like lean and six-sigma. This paper manages the investigation of the Indian moving plant and the impact of the different information parameters on the profitability and quality. 

Index terms – Productivity and quality improvement, Indian rolling mills, optimization of the input parameters.
------------------------------------------------------------------------------------------------------------------------------------------
REFERENCES

[1] Saral Dutta, Hot Rolling Practice – An Attempted Recollection.


[2] Dr. Travis Bradberry, retrieved from

https://www.linkedin.com/pulse/harsh-lessons-make-youmore-successful-dr-travis-bradberry.


[3] Ahmad K. I., Shrivastav R. L., Pervez Sohail, Khan N. P., “Analyzing quality and productivity improvement in steel rolling industry in central India”, IOSR Journal of Mechanical and Civil Engineering, PP 06-11, 2014.


[4] Li Chen, Xianpeng Wang, and Lixin Tang, “Operation Optimization in the Hot-Rolling Production Process”, American Chemical Society, 2014.


[5] Diaz J.L., Suhrez F., “Flatness defects detection in rolling products with real-time vision system”, Intelligent Systems engineering, 1994.


[6] Fumio Yamada, Kunio Sekiguchi, Masashi Tsugeno, Yoshiharu Anbe, Yasushi Andoh, Charles Forse, Maurice Guernier, Trevor Coleman, “Hot strip mill mathematical models and setup calculation”, 1989.


[7] SATO Kazuyuki, “Mill Setting Calculation System for Aluminum Rolling Mill”, Vol-42, No-1, 2009.

[8] B. Bulut M.R. Katebi M.J. Grimble, “Predictive Control of Hot Rolling Processes”, Proceedings of the American Control Conference, Chicago, Illinois, 2000.

[9] Jan van den Akker, Rajesh Kumar Singh, “Energy Efficiency in Steel Re-Rolling Mills”, Government of India United Nations Development Programme Global Environment Facility, 2007.
-------------------------------------------------------------------------------------------------------------------------------------------



Popular Posts