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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
Volume 8, Issue 1, June 2019, Pages: 11-18
Received: Jun. 17, 2019; Accepted: Jul. 12, 2019; Published: Aug. 6, 2019
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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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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.
Optimization, Reliability, System Analysis, Regression Model, Cobble Formation, Cycles, Fineness, Rolling, Variation
To cite this article
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, Science Journal of Circuits, Systems and Signal Processing. Vol. 8, No. 1, 2019, pp. 11-18. doi: 10.11648/j.cssp.20190801.12
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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