Contemporary Quality Management Control Chart

Ibrahim Bedane; Terefe Jima

doi:doi:10.11648/j.ie.20210502.11

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Contemporary Quality Management Control Chart

Ibrahim Bedane, Terefe Jima

Published in Industrial Engineering (Volume 5, Issue 2)

Received: 24 December 2020 Accepted: 29 July 2021 Published: 27 August 2021

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Abstract

Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.

Published in	Industrial Engineering (Volume 5, Issue 2)
DOI	10.11648/j.ie.20210502.11
Page(s)	28-33
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Quality, Defectives, Control Chart, Management, Sampling, Tolerance

References

[1]	Jeya Chandra, 2001, Statistical Quality Control; CRC Press LLC.
[2]	Thomas Pyzdek 2003; Quality Engineering Handbook, Second Edition; Marcel Dekker, Inc. NEWYORK•BASEL.
[3]	DOUGLAS C. MONTGOMERY; Introduction to Statistical Quality Control, Sixth Edition; John Wiley & Sons, Inc.; Arizona State University.
[4]	Electric, W. (1965) Statistical Quality Control Handbook. Western Electric Co., Indianapolis.
[5]	Jelali, M. (2013) Statistical Process Control. In: Jelali, M., Ed., Control Performance Management in Industrial Automation, Springer, Berlin, 209-217. https://doi.org/10.1007/978-1-4471-4546-2_8.
[6]	Nenadal, J., Plura, J., 2008. Moderní management jakosti, management press, 2008, ISBN 978-80-7261-186-7, s. 3 48-354.
[7]	Oakland, J., 2003. Statistical process control. MPG Books Limited, Bodmin, Cornwall, 2003, ISBN 0 7506 5766 9.
[8]	Wang Mingxian. Modern quality management [M]. Beijing: Tsinghua University press, Beijing Jiaotong University press. 2011.
[9]	Ibrahim Bedane; 2020. Lecture Note: Quality Management; Chapter 3: Statistical process control; Madda Walabu University.
[10]	Bedane, I. (2019). Statistical Quality Control. In Quality Management Lecture Note. Bale Robe: Madda Walabu University.
[11]	Bedane, I. (2020). Quality Management. Bale Robe, Ethiopia: Madda Walabu University.
[12]	C. J. Wild; G. A. F. Seber. (2006). CHAPTER 13 Control Charts. In of Chance Encounters.
[13]	Chandra, J. (2001). Statistical Quality Control. CRC Press LLC.
[14]	Keller, P. A. (2003). Quality philosophies and approaches. In T. Pyzdek, Quality Engineering Handbook. Marcel Dekker, Inc.
[15]	MONTGOMERY, D. C. (Sixth Edition). Introduction to Statistical Quality Control. Arizona State University: John Wiley & Sons, Inc.
[16]	Saadoon, A. M. (2017). Seminar of Control Charts for Attributes. https://www.researchgate.net/publication/316441633, p. DOI: 10.13140/RG.2.2.24271.07841. Researchgate.

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APA Style

Ibrahim Bedane, Terefe Jima. (2021). Contemporary Quality Management Control Chart. Industrial Engineering, 5(2), 28-33. https://doi.org/10.11648/j.ie.20210502.11

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Ibrahim Bedane; Terefe Jima. Contemporary Quality Management Control Chart. Ind. Eng. 2021, 5(2), 28-33. doi: 10.11648/j.ie.20210502.11

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Ibrahim Bedane, Terefe Jima. Contemporary Quality Management Control Chart. Ind Eng. 2021;5(2):28-33. doi: 10.11648/j.ie.20210502.11

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@article{10.11648/j.ie.20210502.11,
  author = {Ibrahim Bedane and Terefe Jima},
  title = {Contemporary Quality Management Control Chart},
  journal = {Industrial Engineering},
  volume = {5},
  number = {2},
  pages = {28-33},
  doi = {10.11648/j.ie.20210502.11},
  url = {https://doi.org/10.11648/j.ie.20210502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20210502.11},
  abstract = {Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.},
 year = {2021}
}

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TY  - JOUR
T1  - Contemporary Quality Management Control Chart
AU  - Ibrahim Bedane
AU  - Terefe Jima
Y1  - 2021/08/27
PY  - 2021
N1  - https://doi.org/10.11648/j.ie.20210502.11
DO  - 10.11648/j.ie.20210502.11
T2  - Industrial Engineering
JF  - Industrial Engineering
JO  - Industrial Engineering
SP  - 28
EP  - 33
PB  - Science Publishing Group
SN  - 2640-1118
UR  - https://doi.org/10.11648/j.ie.20210502.11
AB  - Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.
VL  - 5
IS  - 2
ER  -

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Author Information

Ibrahim Bedane

Dadimos Business and Technology College, Maddawalabu University, Bale Robe, Ethiopia
Terefe Jima

Mechanical and Industrial Engineering, Maddawalabu University, Bale Robe, Ethiopia

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APA Style

Ibrahim Bedane, Terefe Jima. (2021). Contemporary Quality Management Control Chart. Industrial Engineering, 5(2), 28-33. https://doi.org/10.11648/j.ie.20210502.11

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ACS Style

Ibrahim Bedane; Terefe Jima. Contemporary Quality Management Control Chart. Ind. Eng. 2021, 5(2), 28-33. doi: 10.11648/j.ie.20210502.11

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AMA Style

Ibrahim Bedane, Terefe Jima. Contemporary Quality Management Control Chart. Ind Eng. 2021;5(2):28-33. doi: 10.11648/j.ie.20210502.11

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@article{10.11648/j.ie.20210502.11,
  author = {Ibrahim Bedane and Terefe Jima},
  title = {Contemporary Quality Management Control Chart},
  journal = {Industrial Engineering},
  volume = {5},
  number = {2},
  pages = {28-33},
  doi = {10.11648/j.ie.20210502.11},
  url = {https://doi.org/10.11648/j.ie.20210502.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ie.20210502.11},
  abstract = {Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.},
 year = {2021}
}

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TY  - JOUR
T1  - Contemporary Quality Management Control Chart
AU  - Ibrahim Bedane
AU  - Terefe Jima
Y1  - 2021/08/27
PY  - 2021
N1  - https://doi.org/10.11648/j.ie.20210502.11
DO  - 10.11648/j.ie.20210502.11
T2  - Industrial Engineering
JF  - Industrial Engineering
JO  - Industrial Engineering
SP  - 28
EP  - 33
PB  - Science Publishing Group
SN  - 2640-1118
UR  - https://doi.org/10.11648/j.ie.20210502.11
AB  - Quality always has been an integral part of virtually all products and services. It is continuously meeting exceeding customer and supplier needs, requirements and expectations in all aspects. However, our awareness of its importance and the introduction of formal methods for quality control and improvement have been an evolutionary development. This article present Core concepts of contemporary quality management Quality Control techniques Control Chart to measure, analyze and control quality by continuously monitoring, controlling and managing process maintaining sampling to continuously Improvable targets by continuously producing and offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs, requirements and expectations. Sampling, Sample size and sample numbers of Proportion of population covered with sampling Rational sub group, are two basic for quality monitoring and control to manage quality of products as well as services within Continuously improving tolerable number and/or Percentage Defectives. To monitor the quality characteristics of a process, appropriate Control chart used in quality management capable of showing the evolution over time of the behavior of the quality characteristics and detecting situations that seem to present certain anomalies must be used. Thus, This Article deals with the application of selected Quality Management and propose Control chart based on Sample size and sample numbers of sampling Rational sub group and Proportion of population covered with γ% Confidence of sample size n to monitor process using number of defectives, through which we can achieve continuous quality improvement. In this paper, Control chart involves using statistical and mathematical techniques were used to measure and analyze the variation in processes intent to monitor product quality and maintain processes to fixed targets. this article show how to use proposed control charts to monitor discrete data and present the assumptions behind the charts, their application, and their interpretation to measure, analyze and control quality by monitoring and managing quality maintaining processes to continuously Improvable targets to manufacture a product as designed within low and lower Percentage Defectives. The advantage of these tools is that they can identify the effects of the processes that cause unnatural variability in processes that result of Defectives and poor quality in offering services within low and lower Percentage Defectives in meeting exceeding customer and supplier needs.
VL  - 5
IS  - 2
ER  -

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