An Algorithm for Risk-Informed Analysis of Advanced Nuclear Reactors with a Case Study of Pipe Failure Rate Estimation

PurposeThis paper, a case study, aims to illustrate the application of Six Sigma in a small-scale ceramic manufacturing industry. The purpose of this paper is to demonstrate the empirical application of DMAIC methodology to reduce failure rate at high voltage (HV) testing of one of the most critical products, insulator.Design/methodology/approachThe case study is based on primary data collected from a real-life situation prevailing in the industry. The case study methodology adopted here is at one small-scale unit wherein the authors have applied DMAIC methodology and observed and recorded the improvement results, especially, reduction in failure rate at HV testing of insulator and, thus, increase in Sigma level.FindingsThe results found after implementation of the solutions are very significant. The rejection percentage has been reduced from 0.5 to 0.1 percent and consequently the Sigma level has been improved from 4.4 to 5.0.Research limitations/implicationsThis success story can be a guiding roadmap for other such industries to successfully implement Six Sigma to improve quality, productivity and profitability.Practical implicationsThis case study will serve as one of the resource bases for the industries which have till not implemented Six Sigma and benefited from the same.Social implicationsImproved quality and productivity leads to better economy. This case will help industries to serve the society with better economy with improved quality and productivity.Originality/valueThough ceramic industries in India are having enormous potential for growth, majority of them, especially, small and medium industries are either not aware of or not implementing Six Sigma to reap its multidimensional benefits of improving quality, productivity and profitability. This study highlights the benefits reaped by small-scale ceramic manufacturing industry opening up the avenues for its application at other such organizations.

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Prediction of Medical Equipment Failure Rate: A Case Study

Advances in Intelligent Systems and Computing - Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 ◽

10.1007/978-3-319-48308-5_62 ◽

2016 ◽

pp. 650-659 ◽

Cited By ~ 1

Author(s):

Rasha S. Aboul-Yazeed ◽

Ahmed El-Bialy ◽

Abdalla S. A. Mohamed

Keyword(s):

Failure Rate ◽

Medical Equipment ◽

Equipment Failure

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Sensitivity Importance Sampling Yield Analysis and Optimization for High Sigma Failure Rate Estimation

10.1109/dac18074.2021.9586136 ◽

2021 ◽

Author(s):

Wenfei Hu ◽

Zhikai Wang ◽

Sen Yin ◽

Zuochang Ye ◽

Yan Wang

Keyword(s):

Importance Sampling ◽

Failure Rate ◽

Yield Analysis ◽

Rate Estimation

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Management of Water Distribution Systems in PDA Condition with Isolation Valves

Proceedings ◽

10.3390/proceedings2110672 ◽

2018 ◽

Vol 2 (11) ◽

pp. 672 ◽

Cited By ~ 1

Author(s):

Attilio Fiorini Morosini ◽

Olga Caruso ◽

Paolo Veltri

Keyword(s):

Distribution Systems ◽

Water Distribution ◽

Distribution Networks ◽

Optimal Number ◽

System Control ◽

Pipe Failure ◽

Reliable System ◽

Network Nodes ◽

Pipe Burst

The correct management of Water Distribution Networks (WDNs) allows to obtain a reliable system. When a pipe failure occurs in a network and it is necessary to isolate a zone, it is possible that some nodes do not guarantee service for the users due to inadequate heads. In these conditions a Pressure Driven Analysis (PDA) is the correct approach to evaluate network behavior. This analysis is more appropriate than the Demand Driven Analysis (DDA) because it is known that the effective delivered flow at each node is influenced by the pressure value. In this case, it is important to identify a subset of isolation valves to limit disrupting services in the network. For a real network, additional valves must be added to existing ones. In this paper a new methodological analysis is proposed: it defines an objective function (OF) to provide a measure of the system correct functioning. The network analysis using the OF helps to choose the optimal number of additional valves to obtain an adequate system control. In emergency conditions, the OF takes into account the new network topology obtained excluding the zone where the broken pipe is located. OF values depend on the demand deficit caused by the head decrement in the network nodes for each pipe burst considered. The results obtained for a case study confirm the efficiency of the methodology.

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