Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations

Casmir Onyeneke; Jovita Onyeaghala; Justin Okere; Victor Oguanobi

doi:doi:10.11648/j.cssp.20190801.12

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Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations

Casmir Onyeneke, Jovita Onyeaghala, Justin Okere, Victor Oguanobi

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 8, Issue 1)

Received: 17 June 2019 Accepted: 12 July 2019 Published: 6 August 2019

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Abstract

System and machine reliability is an important consideration that must be made when attempting the optimization of manufacturing capability; it has to be factored into the system design, layout and construction. Consideration has to be given to how reliability factors which influence the required optimization of the system, and the necessary level of its redundancy to comply with manufacturing process and safety considerations. These considerations must be made when commissioning and operating the system, with specific attention to associated maintenance requirements. These considerations and effects that redundancy engineering can have upon them are reviewed in this work indicating the latest ideas on their implementation and improvement. System availability is a consideration which is of paramount importance in the design of industrial structures. As the system becomes more complicated the cost of improving reliability also increases. Redundancy is the main avenue of increasing system availability. One of the main objectives for carrying out this research is to establish a system which optimize manufacturing capabilities through systems reliability analysis and redundancy compliance with operations design and safety considerations in a steel rolling mill. Repairable failures have been considered in most power system’s reliability analysis and that a modeling concept for unavailability due to ageing must be developed. A Normal or Weibull distribution is suggested as the means to estimate the failure probability density function due to the ageing process and a combined model is proposed including calculations for repairable and ageing failures. An example using seven generating units is used to verify the correctness of the constructed model. The results indicate that ageing failures have significant impact on the unavailability of components particularly in the case of older systems.

Published in	Science Journal of Circuits, Systems and Signal Processing (Volume 8, Issue 1)
DOI	10.11648/j.cssp.20190801.12
Page(s)	11-18
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), 2019. Published by Science Publishing Group

Keywords

Optimization, Reliability, System Analysis, Regression Model, Cobble Formation, Cycles, Fineness, Rolling, Variation

References

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APA Style

Casmir Onyeneke, Jovita Onyeaghala, Justin Okere, Victor Oguanobi. (2019). Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Science Journal of Circuits, Systems and Signal Processing, 8(1), 11-18. https://doi.org/10.11648/j.cssp.20190801.12

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ACS Style

Casmir Onyeneke; Jovita Onyeaghala; Justin Okere; Victor Oguanobi. Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Sci. J. Circuits Syst. Signal Process. 2019, 8(1), 11-18. doi: 10.11648/j.cssp.20190801.12

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AMA Style

Casmir Onyeneke, Jovita Onyeaghala, Justin Okere, Victor Oguanobi. Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Sci J Circuits Syst Signal Process. 2019;8(1):11-18. doi: 10.11648/j.cssp.20190801.12

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@article{10.11648/j.cssp.20190801.12,
  author = {Casmir Onyeneke and Jovita Onyeaghala and Justin Okere and Victor Oguanobi},
  title = {Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {8},
  number = {1},
  pages = {11-18},
  doi = {10.11648/j.cssp.20190801.12},
  url = {https://doi.org/10.11648/j.cssp.20190801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20190801.12},
  abstract = {System and machine reliability is an important consideration that must be made when attempting the optimization of manufacturing capability; it has to be factored into the system design, layout and construction. Consideration has to be given to how reliability factors which influence the required optimization of the system, and the necessary level of its redundancy to comply with manufacturing process and safety considerations. These considerations must be made when commissioning and operating the system, with specific attention to associated maintenance requirements. These considerations and effects that redundancy engineering can have upon them are reviewed in this work indicating the latest ideas on their implementation and improvement. System availability is a consideration which is of paramount importance in the design of industrial structures. As the system becomes more complicated the cost of improving reliability also increases. Redundancy is the main avenue of increasing system availability. One of the main objectives for carrying out this research is to establish a system which optimize manufacturing capabilities through systems reliability analysis and redundancy compliance with operations design and safety considerations in a steel rolling mill. Repairable failures have been considered in most power system’s reliability analysis and that a modeling concept for unavailability due to ageing must be developed. A Normal or Weibull distribution is suggested as the means to estimate the failure probability density function due to the ageing process and a combined model is proposed including calculations for repairable and ageing failures. An example using seven generating units is used to verify the correctness of the constructed model. The results indicate that ageing failures have significant impact on the unavailability of components particularly in the case of older systems.},
 year = {2019}
}

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TY  - JOUR
T1  - Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations
AU  - Casmir Onyeneke
AU  - Jovita Onyeaghala
AU  - Justin Okere
AU  - Victor Oguanobi
Y1  - 2019/08/06
PY  - 2019
N1  - https://doi.org/10.11648/j.cssp.20190801.12
DO  - 10.11648/j.cssp.20190801.12
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 11
EP  - 18
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.20190801.12
AB  - System and machine reliability is an important consideration that must be made when attempting the optimization of manufacturing capability; it has to be factored into the system design, layout and construction. Consideration has to be given to how reliability factors which influence the required optimization of the system, and the necessary level of its redundancy to comply with manufacturing process and safety considerations. These considerations must be made when commissioning and operating the system, with specific attention to associated maintenance requirements. These considerations and effects that redundancy engineering can have upon them are reviewed in this work indicating the latest ideas on their implementation and improvement. System availability is a consideration which is of paramount importance in the design of industrial structures. As the system becomes more complicated the cost of improving reliability also increases. Redundancy is the main avenue of increasing system availability. One of the main objectives for carrying out this research is to establish a system which optimize manufacturing capabilities through systems reliability analysis and redundancy compliance with operations design and safety considerations in a steel rolling mill. Repairable failures have been considered in most power system’s reliability analysis and that a modeling concept for unavailability due to ageing must be developed. A Normal or Weibull distribution is suggested as the means to estimate the failure probability density function due to the ageing process and a combined model is proposed including calculations for repairable and ageing failures. An example using seven generating units is used to verify the correctness of the constructed model. The results indicate that ageing failures have significant impact on the unavailability of components particularly in the case of older systems.
VL  - 8
IS  - 1
ER  -

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Author Information

Casmir Onyeneke

Department of Mathematics and Computer Science, Hezekiah University, Umudi, Nigeria
Jovita Onyeaghala

Department Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria
Justin Okere

Department of Industrial Chemistry, Hezekiah University, Umudi, Nigeria
Victor Oguanobi

Department of Computer Science, Hezekiah University, Umudi, Nigeria

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APA Style

Casmir Onyeneke, Jovita Onyeaghala, Justin Okere, Victor Oguanobi. (2019). Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Science Journal of Circuits, Systems and Signal Processing, 8(1), 11-18. https://doi.org/10.11648/j.cssp.20190801.12

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ACS Style

Casmir Onyeneke; Jovita Onyeaghala; Justin Okere; Victor Oguanobi. Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Sci. J. Circuits Syst. Signal Process. 2019, 8(1), 11-18. doi: 10.11648/j.cssp.20190801.12

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AMA Style

Casmir Onyeneke, Jovita Onyeaghala, Justin Okere, Victor Oguanobi. Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations. Sci J Circuits Syst Signal Process. 2019;8(1):11-18. doi: 10.11648/j.cssp.20190801.12

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@article{10.11648/j.cssp.20190801.12,
  author = {Casmir Onyeneke and Jovita Onyeaghala and Justin Okere and Victor Oguanobi},
  title = {Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations},
  journal = {Science Journal of Circuits, Systems and Signal Processing},
  volume = {8},
  number = {1},
  pages = {11-18},
  doi = {10.11648/j.cssp.20190801.12},
  url = {https://doi.org/10.11648/j.cssp.20190801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20190801.12},
  abstract = {System and machine reliability is an important consideration that must be made when attempting the optimization of manufacturing capability; it has to be factored into the system design, layout and construction. Consideration has to be given to how reliability factors which influence the required optimization of the system, and the necessary level of its redundancy to comply with manufacturing process and safety considerations. These considerations must be made when commissioning and operating the system, with specific attention to associated maintenance requirements. These considerations and effects that redundancy engineering can have upon them are reviewed in this work indicating the latest ideas on their implementation and improvement. System availability is a consideration which is of paramount importance in the design of industrial structures. As the system becomes more complicated the cost of improving reliability also increases. Redundancy is the main avenue of increasing system availability. One of the main objectives for carrying out this research is to establish a system which optimize manufacturing capabilities through systems reliability analysis and redundancy compliance with operations design and safety considerations in a steel rolling mill. Repairable failures have been considered in most power system’s reliability analysis and that a modeling concept for unavailability due to ageing must be developed. A Normal or Weibull distribution is suggested as the means to estimate the failure probability density function due to the ageing process and a combined model is proposed including calculations for repairable and ageing failures. An example using seven generating units is used to verify the correctness of the constructed model. The results indicate that ageing failures have significant impact on the unavailability of components particularly in the case of older systems.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Optimizations of Manufacturing Capabilities Through Systems Reliability Analysis and Redundancy Compliance with Operations Design and Safety Considerations
AU  - Casmir Onyeneke
AU  - Jovita Onyeaghala
AU  - Justin Okere
AU  - Victor Oguanobi
Y1  - 2019/08/06
PY  - 2019
N1  - https://doi.org/10.11648/j.cssp.20190801.12
DO  - 10.11648/j.cssp.20190801.12
T2  - Science Journal of Circuits, Systems and Signal Processing
JF  - Science Journal of Circuits, Systems and Signal Processing
JO  - Science Journal of Circuits, Systems and Signal Processing
SP  - 11
EP  - 18
PB  - Science Publishing Group
SN  - 2326-9073
UR  - https://doi.org/10.11648/j.cssp.20190801.12
AB  - System and machine reliability is an important consideration that must be made when attempting the optimization of manufacturing capability; it has to be factored into the system design, layout and construction. Consideration has to be given to how reliability factors which influence the required optimization of the system, and the necessary level of its redundancy to comply with manufacturing process and safety considerations. These considerations must be made when commissioning and operating the system, with specific attention to associated maintenance requirements. These considerations and effects that redundancy engineering can have upon them are reviewed in this work indicating the latest ideas on their implementation and improvement. System availability is a consideration which is of paramount importance in the design of industrial structures. As the system becomes more complicated the cost of improving reliability also increases. Redundancy is the main avenue of increasing system availability. One of the main objectives for carrying out this research is to establish a system which optimize manufacturing capabilities through systems reliability analysis and redundancy compliance with operations design and safety considerations in a steel rolling mill. Repairable failures have been considered in most power system’s reliability analysis and that a modeling concept for unavailability due to ageing must be developed. A Normal or Weibull distribution is suggested as the means to estimate the failure probability density function due to the ageing process and a combined model is proposed including calculations for repairable and ageing failures. An example using seven generating units is used to verify the correctness of the constructed model. The results indicate that ageing failures have significant impact on the unavailability of components particularly in the case of older systems.
VL  - 8
IS  - 1
ER  -

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