To Design a Mechanism For Improvement of Productivity of Hot Rolling Process

Anugya Patil Giri , Prof. S.M Awtade

FIELD DATA BASE MODEL

field data-based modelling concepts were found very useful and can be applied to any complex construction activity because the observations for the variables are obtained directly from the work place. Relevant variables and data include worker anthropometrics, environmental conditions, tools used and their geometry, layout of work stations and material properties. Modelling and proper analysis can suggest a correct method for performing such activities and making changes to tool geometry, tool materials, work station layouts and so on will improve Productivity and construction ergonomics and reduce losses of materials and losses due to errors in construction work. It is suggested that, for countries where the construction work involves intensive manual labour, each component of construction activity should be analysed by creating fdbm models. A new method of performing work can be developed for all types of infrastructure construction; it has been observed that the non-availability of construction workers leads to delays of major projects; therefore, ergonomic construction is in need for the present scenario.

Published Paper   E-Certificate

"To Design a Mechanism For Improvement of Productivity of Hot Rolling Process ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.450 - 455, September-2020, Available :https://ijsdr.org/papers/IJSDR2009073.pdf

Volume 5 Issue 9, September-2020

Pages : 450 - 455

Paper Reg. ID: IJSDR_192502

Published Paper Id: IJSDR2009073

Downloads: 000347192

Research Area: Engineering

Country: Nagpur, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2009073

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2009073

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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