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Article
Publication date: 15 March 2011

Yi‐Hui Liang

The purpose of this study is to propose the time series decomposition approach to analyze and predict the failure data of the repairable systems.

Abstract

Purpose

The purpose of this study is to propose the time series decomposition approach to analyze and predict the failure data of the repairable systems.

Design/methodology/approach

This study employs NHPP to model the failure data. Initially, Nelson's graph method is employed to estimate the mean number of repairs and the MCRF value for the repairable system. Second, the time series decomposition approach is employed to predict the mean number of repairs and MCRF values.

Findings

The proposed method can analyze and predict the reliability for repairable systems. It can analyze the combined effect of trend‐cycle components and the seasonal component of the failure data.

Research limitations/implications

This study only adopts simulated data to verify the proposed method. Future research may use other real products' failure data to verify the proposed method. The proposed method is superior to ARIMA and neural network model prediction techniques in the reliability of repairable systems.

Practical implications

Results in this study can provide a valuable reference for engineers when constructing quality feedback systems for assessing current quality conditions, providing logistical support, correcting product design, facilitating optimal component‐replacement and maintenance strategies, and ensuring that products meet quality requirements.

Originality/value

The time series decomposition approach was used to model and analyze software aging and software failure in 2007. However, the time series decomposition approach was rarely used for modeling and analyzing the failure data for repairable systems. This study proposes the time series decomposition approach to analyze and predict the failure data of the repairable systems and the proposed method is better than the ARIMA model and neural networks in predictive accuracy.

Details

International Journal of Quality & Reliability Management, vol. 28 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 25 January 2008

Yi‐Hui Liang

The purpose of this paper is to propose an accurate product reliability prediction model in order to enhance product quality and reduce product costs.

Abstract

Purpose

The purpose of this paper is to propose an accurate product reliability prediction model in order to enhance product quality and reduce product costs.

Design/methodology/approach

This study proposes a new method for predicting the reliability of repairable systems. The novel method employed constructs a predictive model by integrating neural networks and genetic algorithms. Findings – The novel method employed constructs a predictive model by integrating neural networks and genetic algorithms. Genetic algorithms are used to globally optimize the number of neurons in the hidden layer, the learning rate and momentum of neural network architecture. Research limitations/implications – This study only adopts real failure data from an electronic system to verify the feasibility and effectiveness of the proposed method. Future research may use other product's failure data to verify the proposed method. The proposed method is superior to ARIMA and neural network model prediction techniques in the reliability of repairable systems. Practical implications – Based on the more accurate analytical results achieved by the proposed method, engineers or management authorities can take follow‐up actions to ensure that products meet quality requirements, provide logistical support and correct product design. Originality/value – The proposed method is superior to other prediction techniques in predicting the reliability of repairable systems.

Details

International Journal of Quality & Reliability Management, vol. 25 no. 2
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 26 July 2013

Yi‐Hui Liang

Analyzing and forecasting reliability is increasingly important for enterprises. An accurate product reliability forecasting model cannot only learn and track a product's…

Abstract

Purpose

Analyzing and forecasting reliability is increasingly important for enterprises. An accurate product reliability forecasting model cannot only learn and track a product's reliability and operational performance, but can also offer useful information that allows managers to take follow‐up actions to improve the product's quality and cost. The Generalized Autoregressive Conditional Heteroskedastic (GARCH) model is already extensively used to analyze and forecast time series data. However, the GARCH model has not been used to analyze and forecast the failure data of repairable systems. Based on these concerns, this study proposes the GARCH model to analyze and forecast the field failure data of repairable systems.

Design/methodology/approach

This paper proposes the GARCH model to analyze and forecast the field failure data of repairable systems. Empirical results from electronic systems designed and manufactured by suppliers of the Chrysler Corporation are presented and discussed.

Findings

The proposed method can analyze and forecast failure data for repairable systems. Not only can this method analyze failure data volatility, it can also forecast the future failure data of repairable systems.

Originality/value

Advanced progress in the field of reliability prediction estimation can benefit engineers or management authorities by providing important decision support tools in which the prediction accuracy suggests financial and business outcomes as well as other outcome application results.

Details

International Journal of Quality & Reliability Management, vol. 30 no. 7
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 5 June 2007

Jin Chen, Liang Tong and Eric W.T. Ngai

The vast majority of evidence about knowledge management (KM) is based on studies within a mass‐producing context and at intra‐organizational level. Little has been…

Abstract

Purpose

The vast majority of evidence about knowledge management (KM) is based on studies within a mass‐producing context and at intra‐organizational level. Little has been reported in the complex products and systems (CoPS) literature about KM processes across firm boundaries. To contribute to this gap, this paper reviews the literature of CoPS, inter‐organizational collaboration and KM, discusses some challenges of inter‐organization KM faced by CoPS manufacturers, and explores a research framework which is helpful to provide a preliminary understanding of inter‐organizational KM within a CoPS context.

Design/methodology/approach

Literature review and research experience are presented.

Findings

The study has identified some challenges faced by CoPS manufacturers when they try to manage knowledge from an innovative network, and developed a framework extending KM processes into an inter‐firm collaborative network for CoPS development. Both, project level collaboration and firm level linkages need to be taken into consideration when attempting to implement KM at inter‐organizational level. Knowledge acquisition from network, knowledge integration, and knowledge sharing in the network are the main inter‐organizational KM activities in a CoPS context.

Originality/value

As KM based on inter‐organizational collaboration has received little attention in prior studies, especially in CoPS conditions, this study is an exploratory discussion of KM issues within a CoPS context, combining the cross‐school theories of inter‐organizational linkages, KM and CoPS innovation. This paper tries to account for knowledge‐related activities involved in CoPS development, identifying some challenges in CoPS innovation.

Details

Journal of Technology Management in China, vol. 2 no. 2
Type: Research Article
ISSN: 1746-8779

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Article
Publication date: 26 July 2011

Jin Chen, Xiaoting Zhao and Liang Tong

China's research and development (R&D) internationalization has grown rapidly in the 1990s. However, academic research has not kept pace with it. The purpose of this paper…

Abstract

Purpose

China's research and development (R&D) internationalization has grown rapidly in the 1990s. However, academic research has not kept pace with it. The purpose of this paper is to study the development characteristics and evolution pattern of China's R&D internationalization, explore its challenges to China's traditional science and technology (S&T) system, and to give some suggestions for the reform of China's S&T system as well.

Design/methodology/approach

An in‐depth case study about Huawei is conducted by focusing on its strategy and development pattern of overseas R&D activities. It involves two methods of data collection: comprehensive interviews and administrative records and documents of the company. More information about China's R&D internationalization and S&T system is obtained through literature review, policy documents collection and a previous questionnaire survey of 28 leading Chinese firms.

Findings

Based on the literature review, previous survey and study of the strategy and development of R&D internationalization of Huawei, a three‐stage model is proposed to explain the evolution of R&D internationalization in China. The challenges to the traditional S&T system in China are summarized. In the future, R&D internationalization should be considered as an important factor in the reform of China's S&T system. Some suggestions are given as well.

Originality/value

This paper puts forward a three‐stage model to explain the evolution of R&D internationalization in China, which may add both academic and practical value to the field of internationalization of R&D. It brings some valuable implications to the reform of China's S&T system as well. This paper analyzes the challenges and opportunities brought by R&D internationalization to China's S&T system on the basis of case study and policy documents collection. The suggestions of the reform of China's S&T system are presented.

Details

Journal of Science and Technology Policy in China, vol. 2 no. 2
Type: Research Article
ISSN: 1758-552X

Keywords

Content available
Article
Publication date: 1 April 2004

Abstract

Details

Industrial Lubrication and Tribology, vol. 56 no. 2
Type: Research Article
ISSN: 0036-8792

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Article
Publication date: 4 September 2017

Miguel Angel Navas, Carlos Sancho and Jose Carpio

The purpose of this paper is to present the results of the application of various models to estimate the reliability in railway repairable systems.

Abstract

Purpose

The purpose of this paper is to present the results of the application of various models to estimate the reliability in railway repairable systems.

Design/methodology/approach

The methodology proposed by the International Electrotechnical Commission (IEC), using homogeneous Poisson process (HPP) and non-homogeneous Poisson process (NHPP) models, is adopted. Additionally, renewal process (RP) models, not covered by the IEC, are used, with a complementary analysis to characterize the failure intensity thereby obtained.

Findings

The findings show the impact of the recurrent failures in the times between failures (TBF) for rejection of the HPP and NHPP models. For systems not exhibiting a trend, RP models are presented, with TBF described by three-parameter lognormal or generalized logistic distributions, together with a methodology for generating clusters.

Research limitations/implications

For those systems that do not exhibit a trend, TBF is assumed to be independent and identically distributed (i.i.d.), and therefore, RP models of “perfect repair” have to be used.

Practical implications

Maintenance managers must refocus their efforts to study the reliability of individual repairable systems and their recurrent failures, instead of collections, in order to customize maintenance to the needs of each system.

Originality/value

The stochastic process models were applied for the first time to electric traction systems in 23 trains and to 40 escalators with ten years of operating data in a railway company. A practical application of the IEC models is presented for the first time.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 8
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 8 March 2021

Zhiguang Li, Yaokuang Li and Wei Zhang

Based on the perspective of complexity theory, the operation process of property insurance companies can be regarded as a complex dynamic nonlinear chaotic system. This…

Abstract

Purpose

Based on the perspective of complexity theory, the operation process of property insurance companies can be regarded as a complex dynamic nonlinear chaotic system. This paper aims to measure the operating efficiency of 29 Chinese domestic property and casualty (P&C) companies and 18 foreign-invested P&C companies from 2011 to 2017 and outline the path to achieving high-quality development.

Design/methodology/approach

The data were obtained from the Chinese Insurance Yearbook and China Statistical Yearbook 2012–2018. The data envelopment analysis method was used to calculate the technical efficiency of property insurance companies and fuzzy set qualitative comparative analysis is used for configuration analysis of determinants affecting technical efficiency.

Findings

This paper founds the average technical efficiency of Chinese domestic P&C insurance companies was 0.914 and that of foreign-invested P&C insurance companies was 0.895. The average total factor productivity of Chinese domestic P&C insurance companies was 1.058 and that of foreign-invested P&C insurance companies was 1.051. There were three modes to improve the company’s technical efficiency, with high loss ratio and low reinsurance ratio, poor employee education and higher leverage ratio and high leverage ratio and low reinsurance ratio as the core conditions.

Originality/value

This study puts forward four applicable, targeted and proven ways to improve the technical efficiency of China’s P&C insurance industry. These configurations were verified by the cases of existing property insurance companies, which can provide practical references for the insurance industry.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

Keywords

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Article
Publication date: 2 August 2021

Modupeola Dada, Patricia Popoola and Ntombi Mathe

This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current…

Abstract

Purpose

This study aims to review the recent advancements in high entropy alloys (HEAs) called high entropy materials, including high entropy superalloys which are current potential alternatives to nickel superalloys for gas turbine applications. Understandings of the laser surface modification techniques of the HEA are discussed whilst future recommendations and remedies to manufacturing challenges via laser are outlined.

Design/methodology/approach

Materials used for high-pressure gas turbine engine applications must be able to withstand severe environmentally induced degradation, mechanical, thermal loads and general extreme conditions caused by hot corrosive gases, high-temperature oxidation and stress. Over the years, Nickel-based superalloys with elevated temperature rupture and creep resistance, excellent lifetime expectancy and solution strengthening L12 and γ´ precipitate used for turbine engine applications. However, the superalloy’s density, low creep strength, poor thermal conductivity, difficulty in machining and low fatigue resistance demands the innovation of new advanced materials.

Findings

HEAs is one of the most frequently investigated advanced materials, attributed to their configurational complexity and properties reported to exceed conventional materials. Thus, owing to their characteristic feature of the high entropy effect, several other materials have emerged to become potential solutions for several functional and structural applications in the aerospace industry. In a previous study, research contributions show that defects are associated with conventional manufacturing processes of HEAs; therefore, this study investigates new advances in the laser-based manufacturing and surface modification techniques of HEA.

Research limitations/implications

The AlxCoCrCuFeNi HEA system, particularly the Al0.5CoCrCuFeNi HEA has been extensively studied, attributed to its mechanical and physical properties exceeding that of pure metals for aerospace turbine engine applications and the advances in the fabrication and surface modification processes of the alloy was outlined to show the latest developments focusing only on laser-based manufacturing processing due to its many advantages.

Originality/value

It is evident that high entropy materials are a potential innovative alternative to conventional superalloys for turbine engine applications via laser additive manufacturing.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

Keywords

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Article
Publication date: 18 April 2017

Swee Leong Sing, Wai Yee Yeong, Florencia Edith Wiria, Bee Yen Tay, Ziqiang Zhao, Lin Zhao, Zhiling Tian and Shoufeng Yang

This paper aims to provide a review on the process of additive manufacturing of ceramic materials, focusing on partial and full melting of ceramic powder by a high-energy…

Abstract

Purpose

This paper aims to provide a review on the process of additive manufacturing of ceramic materials, focusing on partial and full melting of ceramic powder by a high-energy laser beam without the use of binders.

Design/methodology/approach

Selective laser sintering or melting (SLS/SLM) techniques are first introduced, followed by analysis of results from silica (SiO2), zirconia (ZrO2) and ceramic-reinforced metal matrix composites processed by direct laser sintering and melting.

Findings

At the current state of technology, it is still a challenge to fabricate dense ceramic components directly using SLS/SLM. Critical challenges encountered during direct laser melting of ceramic will be discussed, including deposition of ceramic powder layer, interaction between laser and powder particles, dynamic melting and consolidation mechanism of the process and the presence of residual stresses in ceramics processed via SLS/SLM.

Originality/value

Despite the challenges, SLS/SLM still has the potential in fabrication of ceramics. Additional research is needed to understand and establish the optimal interaction between the laser beam and ceramic powder bed for full density part fabrication. Looking into the future, other melting-based techniques for ceramic and composites are presented, along with their potential applications.

Details

Rapid Prototyping Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1355-2546

Keywords

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