Process Improvement Using Statistical Process Control in a Small Scale Industry
by Bhushan S. Jogi | Lekrajsing R. Gour | Nikhil Turkar" Process Improvement Using Statistical Process Control in a Small Scale Industry"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd17144.pdf
Direct URL: http://www.ijtsrd.com/engineering/industrial-engineering/17144/process-improvement-using-statistical-process-control-in-a-small-scale-industry/bhushan-s-jogi
open access journal of engineering, ugc approved journals for engineering, call for paper engineering
Different methods are used in an organization to improve productivity, one such method is Statistical process Control(SPC).Statistical process control is a collection of tools, that when used together can result in process stability and variance reduction, thereby leading to a more streamlined production process. This paper presents a case study of SPC to improve the performance of current process by reducing the variability in the dimension of parts produced, there by diminish rejections and improving the process. By carrying out mathematical calculations and using various SPC tools, process capability study was done under existing conditions, some improvements were done in the existing welding fixture used for producing the part to improve their capabilitiy indices. In this study after the application of SPC tools and integrating the suggested changes in existing process, great improvements were seen, as such the capability indices which were 0.1.1&0.38 respectively for the existing process, increased to 1.91&1.50 respectively for the improved process, thereby representing good process performance with higher strength.
Mortgage application denial rates last year were highest in the South and along the Rust belt, according to a WSJ analysis.
Here’s the WSJ:
“The percentage of mortgage applications rejected by the nation’s largest lenders increased last year, spotlighting how banks’ cautious lending practices are hampering the nascent housing market recovery.
In all, the nation’s 10 largest mortgage lenders denied 26.8% of loan applications in 2010, an increase from 23.5% in 2009, according to an analysis by The Wall Street Journal of mortgage data filed with banking regulators.
Although lenders were expected to pull back from the freewheeling conditions that helped inflate the housing bubble, some economists argue they are now too conservative, and say that with the U.S. economy still wobbly, mortgages need to be easier to obtain for qualified borrowers, not harder.
