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Article
Publication date: 5 June 2017

Nupur Goyal, Mangey Ram, Shubham Amoli and Alok Suyal

The purpose of this paper is to investigate the reliability measures, namely, availability, reliability, mean time to failure and expected profit. The authors also analyse…

Abstract

Purpose

The purpose of this paper is to investigate the reliability measures, namely, availability, reliability, mean time to failure and expected profit. The authors also analyse the sensitivity of these reliability measures.

Design/methodology/approach

Depending upon the real industrial relevance, a generalized system which is easily repairable, extremely reliable and of high quality is expected by the rapid growth of the digital economy. Considering reliability, as one of the performance measure, the authors have designed a complex system which consists of three subsystems, namely, A, B and C in series configuration. The subsystem A consists of n numbers of units which are arranged in parallel configuration, subsystem B consists of two sub-subsystems X and Y align parallel to one another, where X is a type of 1-out-of-n:F. Failure and repair rates are assumed to be follow the general distribution.

Findings

The system is deeply studied by the usage of the supplementary variable technique, Laplace transformation and Markov’s law. Various conclusive results such as availability and reliability of the system, mean time to failure, cost and sensitivity analysis have been discussed further.

Originality/value

Through the systematic view of reliability measures of the proposed system, performance of the system can be enhanced under high profit.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 3 January 2017

Nupur Goyal and Mangey Ram

The purpose of this paper is to analyse the performance of a wind electric generating power plant through the study of reliability measures. The enhancement of the…

Abstract

Purpose

The purpose of this paper is to analyse the performance of a wind electric generating power plant through the study of reliability measures. The enhancement of the performance of the wind power plant using various approaches is also an objective of this paper.

Design/methodology/approach

This paper describes two models of a wind electric generating power plant using the Markov process and supplementary variable technique and solved with the help of Laplace transformation. The first model has been analyzed without fault coverage and Gumbel-Hougaard family of copula, while the second model of the wind power plant employs fault coverage and Gumbel-Hougaard family of copula which are used to enhance the performance. The proposed methodology is then illustrated in detail considering numerical examples.

Findings

Numerous reliability characteristics such as availability, reliability and mean time to failure to examine the performance of the wind power plant have been investigated. Through the comparative study of both the models, the authors concluded that the plant can generate electricity over long periods of time by covering more and more detected faults, which is made possible with two types of repair facility.

Originality/value

In this work, the authors have developed a mathematical model based on a wind electric generating power plant. This work incorporates not only the component failures that stop or degrade the working of the plant but also deals with the catastrophic and repair strategy of the plant.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 1
Type: Research Article
ISSN: 0265-671X

Keywords

Content available
Article
Publication date: 21 June 2021

Joe Thomas, Emma Emily de Wit, R.K. Radhakrishnan, Nupur Kulkarni and Joske G.F. Bunders-Aelen

The COVID-19 pandemic is certain to have an unprecedented impact on the global population, but marginalized and vulnerable groups in low-income countries (LICs) are…

Abstract

Purpose

The COVID-19 pandemic is certain to have an unprecedented impact on the global population, but marginalized and vulnerable groups in low-income countries (LICs) are predicted to carry the largest burden. This study focuses on the implications of COVID-19-related measures on three population groups in India, including (1) migrant laborers (of which a majority come from Scheduled Castes (SCs) and Scheduled Tribes (STs), as well as Other Backward Classes (OBCs)), (2) children from low-income families and, (3) refugees and internally displaced persons (IDPs).

Design/methodology/approach

This study adopts a sequential mixed-method research design. A desk-based study of a selection of government reports was undertaken on the COVID-19-related mitigation measures. The desk study was followed by in-depth interviews with purposively recruited high-ranking experts in specific sectors of policy implementation and service delivery across the country.

Findings

The outcomes of this study shed light on (1) the most urgent needs that need to be addressed per population group, (2) the variety of state-level responses as well as best practices observed to deal with mitigation issues and (3) opportunities for quick relief as well as more long-term solutions.

Practical implications

The COVID-19 pandemic has not only reduced people's means of maintaining a livelihood but has simultaneously revealed some of India's long-standing problems with infrastructure and resource distribution in a range of sectors, including nutrition and health, education, etc. There is an urgent need to construct effective pathways to trace and respond to those people who are desolate, and to learn from – and support – good practices at the grassroot level.

Originality/value

The current study contributes to the discussion on how inclusive public health might be reached.

Details

Equality, Diversity and Inclusion: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7149

Keywords

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