Results 311 to 320 of about 8,831,806 (372)
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Technometrics, 1993
In Chapter 11, Part Two, we looked at the application of statistical techniques to quality appraisal, in the form of statistical acceptance sampling. In this chapter we shall be looking at more applications of statistics in aid of quality assurance, but this time at the role of statistical techniques in anticipating failures, through statistical ...
Benjamin M. Adams, Leonard A. Doty
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In Chapter 11, Part Two, we looked at the application of statistical techniques to quality appraisal, in the form of statistical acceptance sampling. In this chapter we shall be looking at more applications of statistics in aid of quality assurance, but this time at the role of statistical techniques in anticipating failures, through statistical ...
Benjamin M. Adams, Leonard A. Doty
+4 more sources
Big Data? Statistical Process Control Can Help!
American Statistician, 2020“Big data” is a buzzword these days due to an enormous amount of data-rich applications in different industries and research projects. In practice, big data often take the form of data streams in the sense that new batches of data keep being collected ...
P. Qiu
semanticscholar +1 more source
, 2018 Organizations are (or ought to be) concerned about the quality of the products and services they offer. A key to maintaining and improving quality is systematic use of data in place of intuition or anecdotes.
H.-J. Mittag, H. Rinne
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Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods
IEEE Transactions on Instrumentation and Measurement, 2019This paper proposes a new bearing fault detection framework that is based on multivariate statistical process control methods. In this framework, historical offline normal data are used to train the models and calculate the control limits of the ...
Xiaohang Jin, Jicong Fan, T. Chow
semanticscholar +1 more source
Statistical Process Control: No Hits, No Runs, No Errors?
Anesthesia and Analgesia, 2019A novel intervention or new clinical program must achieve and sustain its operational and clinical goals. To demonstrate successfully optimizing health care value, providers and other stakeholders must longitudinally measure and report these tracked ...
T. Vetter, D. Morrice
semanticscholar +1 more source
2014
In this chapter appears a description for the main concepts of statistical process controls, its graphs and common interpretation in manufacturing industries. Finally, appears a real application for statistical process control.
Manuel Iván Rodríguez-Borbón +1 more
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In this chapter appears a description for the main concepts of statistical process controls, its graphs and common interpretation in manufacturing industries. Finally, appears a real application for statistical process control.
Manuel Iván Rodríguez-Borbón +1 more
openaire +2 more sources
International Journal of Production Research, 2018
The objective of this paper is to develop an integrated approach for the joint control of production, maintenance and quality for batch manufacturing systems.
Nadia Bahria +3 more
semanticscholar +1 more source
The objective of this paper is to develop an integrated approach for the joint control of production, maintenance and quality for batch manufacturing systems.
Nadia Bahria +3 more
semanticscholar +1 more source
Reliability Engineering & System Safety, 2022
H. Rasay, S. Taghipour, M. Sharifi
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H. Rasay, S. Taghipour, M. Sharifi
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Statistical Processing Control
2021This chapter begins by describing the difference between accuracy and precision. It moves on to define some of the terms that are used in fundamental statistics through the use of an easy to understand example involving 10 giant gumballs. Based on the weights of these gumballs, the principles of standard deviations and confidence limits are introduced ...
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