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Abstract

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International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

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Abstract

Details

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

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Article

Amit Kumar, Mangey Ram and Rohit Singh Rawat

The quality of production is an essential factor for the performance measure of a system; a casting process is the same section. It is a type of metal-forming practice in…

Abstract

Purpose

The quality of production is an essential factor for the performance measure of a system; a casting process is the same section. It is a type of metal-forming practice in which the required shape of metal is acquired by pouring molten metal into the mold cavity and allowing it to solidify. Casting is done to provide strength and rigidity to the parts of a system for bearing mechanical impacts. The purpose of this paper is to investigate the various aspects which affect the casting process in the foundry industry, in order to optimize the quality of casting, with the assumption that sufficient repair facility is always available.

Design/methodology/approach

The considered casting system can have many defects such as the mold shift defect, blowhole defect, defect of shrinkage and porosity, defect of inclusion, defect of cold shut and much more. The studied system can be in three states during the process, namely, good state, failed state and degraded state. The system can repair after minor failures as well as a major failure. The average failure rates of various defects of the system considered as constant and repairs follow the general time distribution. The system is analyzed with the help of the supplementary variable technique and the Laplace transformation for evaluating its various performance measures in order to improve its performance/production.

Findings

This work provides a strong understanding of the casting industry, that which failure affects the production of casting and how much. For better understanding, the results have been demonstrated with the help of graphs.

Originality/value

In the present paper, a mathematical model based on the casting process in manufacturing industry has been developed.

Details

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

Keywords

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Article

Monika Manglik, Nitesh Rawat and Mangey Ram

To analyze the performance of multistate cloud computing transition system through the various reliability measures is the purpose of this paper.

Abstract

Purpose

To analyze the performance of multistate cloud computing transition system through the various reliability measures is the purpose of this paper.

Design/methodology/approach

In this article, a mathematical model for a multistate cloud computing transition system with various types of failures has been analyzed by using the Markov process, supplementary variable technique and Laplace transformation.

Findings

Various reliability measures such that reliability, availability, mean time to failure (MTTF), mean time to repair and cost analysis have also been analyzed. This article presents some geographic illustrations for the practical utility of the model.

Originality/value

The authors developed a mathematical model to analyze the reliability of the cloud computing transition system by considering the possible failures.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

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Article

Rohit Singh, Shwetank Avikal, Rashmi Rashmi and Mangey Ram

In today's era of a digital world, mobile phones have now become an essential part in everyday life. The selection of the best mobile phone among the available…

Abstract

Purpose

In today's era of a digital world, mobile phones have now become an essential part in everyday life. The selection of the best mobile phone among the available alternatives is a complex decision making it a problem for the customers. Mobile phone manufactures are facing a lot of problems for launching/introducing a mobile phone according to the requirement of customers and it depends on a number of criteria/attributes such as: technical specifications, price, brand etc.

Design/methodology/approach

In the presented work, the above-discussed problem has been considered as a Multi-Criteria Decision Making MCDM problem and an approach based on Kano model with Fuzzy AHP and TOPSIS has been proposed to solve the problem. The Kano model has been used for identifying the different Kano categories of all the features through a customer survey. Fuzzy AHP has been applied to achieve the weights of each feature in order to introduce a best mobile phone for the customers. TOPSIS has been used for ranking of alternatives.

Findings

main features with different other sub-features have been selected for the study. Different features have been considered as categories and their Kano categories have been found out. The importance of these features has also been calculated by Fuzzy-AHP in terms of their evaluated weights. Different mobile phones have been ranked by TOPSIS according to their features calculated by Fuzzy-AHP. The proposed approach seems effective for identifying/classifying different attributes/features of mobile phones according to customer's requirements.

Originality/value

Here, different features of a mobile phone have been considered for designing a suitable mobile phone. Thus, this work can help a designer to design and select a suitable feature for a customer-oriented mobile phone.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

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Article

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

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

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Article

Garima Chopra and Mangey Ram

The purpose of this paper is to evaluate various reliability metrics such as transition state probabilities, availability, reliability, mean time to failure and expected…

Abstract

Purpose

The purpose of this paper is to evaluate various reliability metrics such as transition state probabilities, availability, reliability, mean time to failure and expected profit of two non-identical unit parallel system incorporating waiting time.

Design/methodology/approach

The present paper investigates the reliability of two non-identical unit parallel system with two types of failures: common cause failure and partial failure. Moreover, waiting time to repair, a significant aspect of reliability analysis, has also been incorporated. The considered system is assumed to function properly if at least one of the units is in operative mode. The present system is examined by using the supplementary variable technique and Laplace transformation.

Findings

Numerical calculation shows that the availability and the reliability of the system is minimum when the system is without partial failure and is maximum when the system is free from common cause failure. Finally, the cost analysis of the system reveals that the expected profit decreases with increase in service cost.

Originality/value

This paper presents a mathematical model of two dissimilar unit parallel system, through which the performance of the considered system can be improved.

Details

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

Keywords

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Article

Lalit Bhagat, Gunjan Goyal, Dinesh C.S. Bisht, Mangey Ram and Yigit Kazancoglu

The purpose of this paper is to provide a better method for quality management to maintain an essential level of quality in different fields like product quality, service…

Abstract

Purpose

The purpose of this paper is to provide a better method for quality management to maintain an essential level of quality in different fields like product quality, service quality, air quality, etc.

Design/methodology/approach

In this paper, a hybrid adaptive time-variant fuzzy time series (FTS) model with genetic algorithm (GA) has been applied to predict the air pollution index. Fuzzification of data is optimized by GAs. Heuristic value selection algorithm is used for selecting the window size. Two algorithms are proposed for forecasting. First algorithm is used in training phase to compute forecasted values according to the heuristic value selection algorithm. Thus, obtained sequence of heuristics is used for second algorithm in which forecasted values are selected with the help of defined rules.

Findings

The proposed model is able to predict AQI more accurately when an appropriate heuristic value is chosen for the FTS model. It is tested and evaluated on real time air pollution data of two popular tourism cities of India. In the experimental results, it is observed that the proposed model performs better than the existing models.

Practical implications

The management and prediction of air quality have become essential in our day-to-day life because air quality affects not only the health of human beings but also the health of monuments. This research predicts the air quality index (AQI) of a place.

Originality/value

The proposed method is an improved version of the adaptive time-variant FTS model. Further, a nature-inspired algorithm has been integrated for the selection and optimization of fuzzy intervals.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article

Vaishali Tyagi, Nitesh Rawat and Mangey Ram

The purpose of this work is to develop a prototype of flood alerting system (FAS) based on the Internet of Things (IoT) to save the lives and property by alerting the…

Abstract

Purpose

The purpose of this work is to develop a prototype of flood alerting system (FAS) based on the Internet of Things (IoT) to save the lives and property by alerting the people about flood. The proposed system can permit detection and evaluation of threating events to take place before it hits a network or community.

Design/methodology/approach

Connecting water bodies or water channels to the cities is a sign of development and growth, but sometimes when these connected water channels gets overfilled due to some reasons then they can create horrendous situation, one of such situations is flood. Hence, there is a need to find a way, in order to alert when there will be flood-related conditions and to predict if there are any such conditions in near future. In this work, a model based on FAS, that can alert when flood-related conditions are there, is proposed. Mathematical modelling of the model is done through the Markov process to obtain the state transition probabilities, and these probabilities are solved by Laplace transformation. The performance of the proposed system is affected by good or bad working of its components. Thus, the performance characteristics are expected in terms of component failure rates. Failure and repair rate of FAS's components follow exponential and general distribution.

Findings

Using the proposed Markov model, performance characteristics of the model like availability, reliability, mean time to failure (MTTF), profit and sensitivity have been calculated and explored by taking numerical illustration. Graphical representation of performance characteristics is done to make the results more understandable.

Originality/value

This work presents a Markov process-based reliability model of FAS, which provides the information about failures and working of the system's components. Also, it provides information about components and failures which majorly affect the system reliability.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

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