INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Applications Of Statistical Quality Control Tools In Construction Industry A Quality Approach
Authors Name:
Arshad Rashid
, Pradeep Patil
Unique Id:
IJSDR1608034
Published In:
Volume 1 Issue 8, August-2016
Abstract:
It has been the aim of engineers to strive at higher and higher accuracy, but absolute accuracy is unattainable. Every process and its output are subject to variation.. Statistics acts as a practical tool in this direction. Statistics refers to the collection, organization, analysis interpretation and presentation of data. SQC involves analysis of characteristics of a output by inference from sampling the output .The analysis make to ensure that process remains in control. In SQC, the actual physical measurements are first secured by means of inspection. Control chart are used to separate out the assignable cause of quality variation. Random samples of work in progress are taken at random and inspected. A large data regarding different test conducted on different types of material are taken and process under SQC and control chart ,also the MATLAB software which provides the output in form of table chart containing the average X, the range R, standard deviation, Variance etc and also gives the X-chart and R-chart
Keywords:
SQC techniques, X-chart, R-chart, MATLAB software
Cite Article:
"Applications Of Statistical Quality Control Tools In Construction Industry A Quality Approach", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.278 - 284, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608034.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR1608034
Registration ID:160695
Published In: Volume 1 Issue 8, August-2016
DOI (Digital Object Identifier):
Page No: 278 - 284
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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