INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract- SPC is the application of statistical method to monitor and control the process to ensure that it operates at its full potential to produce confirming products. In order to survive in a competitive market, improving quality and productivity of product or process is a must for any company. Hence quality improvement program should be an integral part of the overall business strategy. Some simple techniques like seven basic quality control(QC) tools to provide a very valuable and cost effective way to meet these objectives. The main tool of SPC are the control charts. The basic idea of control charts is to test the hypothesis that there are only common causes of variability versus the alternative that are special causes. Control charts are designed and evaluated under the assumption that the observations from the process are independent and identically distributed normal. However, the independence assumption in often violated in practice. Control charts are utilized by industrial units to augment quality of products and to minimize wastage but other aspects are equally important for the effective implementation of SPC in organizations. This paper depicts implementation of the Statistical Process Control techniques in various manufacturing units. In this research paper, various articles on the implementation of Statistical Process Control techniques in the manufacturing units are examined for the review.
Keywords:
Keywords-Statistical Process Control, Quality, Process effectiveness, 7QC Tools.
Cite Article:
"Prioritize measures to achieve intended results using SPC (Statistical Process Control) Tools: A Review", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 6, page no.50-52, June-2017, Available :http://www.ijnrd.org/papers/IJNRD1706008.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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