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Article
Publication date: 8 May 2007

Roberto Sarmiento, Mike Byrne, Luis Rene Contreras and Nick Rich

To provide a selective bibliography on reported empirical evidence regarding the compatibility/trade‐offs relationships between delivery reliability and other…

Abstract

Purpose

To provide a selective bibliography on reported empirical evidence regarding the compatibility/trade‐offs relationships between delivery reliability and other manufacturing capabilities, and also identify specific areas for future research.

Design/methodology/approach

The paper conceptually examines published studies which have reported a trade‐off/compatibility situation between delivery reliability and other manufacturing capabilities such as internal quality, external quality, manufacturing costs, inventory costs, etc. Some different aspects of delivery reliability are also discussed.

Findings

Principally, the paper identifies a need to study in more detail the different variables (manufacturing capabilities, contextual variables and manufacturing practices) that could be potentially associated with the achievement of high manufacturing efficiency (high levels of outputs/low levels of inputs) in terms of delivery reliability, materials inventory and safety resources.

Research limitations/implications

The literature review in the paper is intended to be exhaustive. Nevertheless, it is probable that scientific papers that report related/relevant material are involuntarily omitted.

Practical implications

By means of a detailed review of the literature, the paper identifies specific themes for future research. The paper also should be of help to practitioners as it gathers the empirical evidence regarding the compatibility/trade‐off situation between delivery reliability and other areas of manufacturing.

Originality/value

Some papers have dealt with literature reviews on manufacturing strategy as a whole. Nevertheless, to the best of our knowledge, this is the first paper that offers a literature review on delivery reliability. This paper also suggests a novel model of manufacturing efficiency and also proposes a methodology (data envelopment analysis) with which this approach can be examined in more detail.

Details

Journal of Manufacturing Technology Management, vol. 18 no. 4
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 7 August 2017

Qian Lin, Haifeng Wu and Xi Li

The purpose of this paper is to investigate the temperature reliability for a parallel high-efficiency class-E power amplifier (PA).

Abstract

Purpose

The purpose of this paper is to investigate the temperature reliability for a parallel high-efficiency class-E power amplifier (PA).

Design/methodology/approach

To explore the relationship between temperature and direct current (DC) characteristics, output power, S parameters and efficiency of the PA quantitatively, a series of reliability experiments have been designed and conducted to study the temperature reliability for this PA.

Findings

From the results, the prominent performance degradation even failure is found during the testing. Furthermore, the thermal shock test can cause permanent failure, which is a great threat for PA.

Research limitations/implications

Therefore, to ensure the good performance, the influence of temperature on PA reliability should be carefully considered during the stage of PA design.

Practical implications

All these can provide important guidance for the reliability design of PA.

Social implications

All these can give some important guidance for PA application.

Originality/value

In addition, PA is usually designed according to the electrical properties at the room temperature. From the results above, it can be concluded that it may be unable to satisfy the performance requirement at high temperature. In turn, if it is designed according to the electrical properties at low temperature, the transistor often works in the super-saturated state, the reliability of PA will become the new problem. Therefore, to ensure the good performance, the influence of temperature on PA reliability should be carefully considered during the design.

Details

Circuit World, vol. 43 no. 3
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 5 November 2020

Tarwaji Warsokusumo, Toni Prahasto and Achmad Widodo

The study aims to perform an extensive literature review in the area of the maintenance decision analysis (MDA), especially in power generation systems. In the basis of…

Abstract

Purpose

The study aims to perform an extensive literature review in the area of the maintenance decision analysis (MDA), especially in power generation systems. In the basis of this review, the paper proposes a new model for the MDA which involves a combination of reliability, availability, maintainability and safety (RAMS) performance with energy efficiency performance (EEP).

Design/methodology/approach

Starting from the opportunity in Sustainable Development Scenario (SDS) by improving the energy efficiency (EE) and using renewable energy for the power generation system, also concerning to the major challenge of maintenance optimization in order to implement maintenance strategy, the maintenance decision-making and energetic efficiency management system (EEMS) have been reviewed. In the context of power generation system's performance, the measurement is also analyzed and identified. Then, the extensive literature review has been performed to compare between RAMS and EEP. And finally, the limitation and gap, where EEP is not yet a complementary consideration during MDA being identified and a new model for the performance-based MDA is proposed.

Findings

The new model proposed for the performance-based MDA is able to be used to conduct maintenance decision by utilizing the combination of RAMS and EEP depending on the type of decision required.

Practical implications

There is an opportunity for a maintenance organization of power generation plant to apply this new model proposed for the MDA in order to optimize the maintenance scope and schedule.

Originality/value

The result of work in this paper forms the basis for combining RAMS with EEP as performance-based MDA tools in the context of maintenance of the power generation system.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 1
Type: Research Article
ISSN: 1355-2511

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Article
Publication date: 3 May 2016

Sarra Dahmani, Xavier Boucher, Sophie Peillon and Béatrix Besombes

Servitization of manufacturing is characterized by very complex decision processes within strongly unstable and uncertain decision contexts. Decision-makers are face…

Abstract

Purpose

Servitization of manufacturing is characterized by very complex decision processes within strongly unstable and uncertain decision contexts. Decision-makers are face situations of lack of internal and external information. The purpose of this paper is to develop a decision aid approach to support the management of servitization decision-making processes.

Design/methodology/approach

The scientific orientation of this research consists in working at improving the efficiency of the servitization decision-making process, by identifying factors of non-reliability, in order to propose remediation actions for the whole process. Improving the final decisions taken by the managers is considered as a consequence of the improvement of the decision-making process reliability. The method, based on modeling and evaluation, requires the specification of a decision process model for servitization, used as a basis to assess decision process reliability and diagnose the enterprise’s servitization decision system. Improving the final decisions made by the managers is considered as a consequence of the improvement of the decision-making process reliability.

Findings

Key added values: first, to formalize a servitization decision-making reference model; second, to specify a reliability assessment applied to the decision system; and third, to define a decision process reliability diagnosis procedure for servitization, illustrated in a case study.

Research limitations/implications

A direct perspective is to complete the focus on procedural reliability, by taking into consideration the subjective rationality of decision-makers in the reliability assessment procedure. Additionally, this reliability assessment method and diagnosis could become the basis of a larger risk management approach for servitization.

Practical implications

The diagnosis procedure proposed in the paper is dedicated to generating practical results for enterprise decision-makers, consisting in recommendations for decision process improvements, in the context of servitization. The approach is illustrated through an industrial SME case study. The practical implications are highly contextualized.

Originality/value

The key originality of this research is to tackle servitization complexity with a decision system modeling and diagnosis orientation, including the formalization of the notion of “decision process reliability,” and the specification and implementation of a quantitative assessment procedure.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 4
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 25 February 2020

Linda W. Lee, Amir Dabirian, Ian P. McCarthy and Jan Kietzmann

The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in…

Abstract

Purpose

The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis.

Design/methodology/approach

To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency.

Findings

Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency.

Research limitations/implications

This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches.

Practical implications

For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines.

Originality/value

To the best of the authors’ knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.

Details

European Journal of Marketing, vol. 54 no. 3
Type: Research Article
ISSN: 0309-0566

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Article
Publication date: 18 December 2007

Kit Fai Pun and Anesa Hosein

Nowadays, the competitiveness of any organisations rests dominantly on how they can manage their performance. A host of performance variables such as quality, reliability

Abstract

Nowadays, the competitiveness of any organisations rests dominantly on how they can manage their performance. A host of performance variables such as quality, reliability, and efficiency are recognised as competitive priorities. This paper reviews the criteria and dimensions of performance measures, and discusses six core performance indicators in agribusiness operations with particular reference to the poultry/broiler farms. Besides, a holistic “Quality, Reliability and Efficiency” view of performance is proposed when developing measures for poultry agribusiness operations.

Details

Asian Journal on Quality, vol. 8 no. 3
Type: Research Article
ISSN: 1598-2688

Keywords

Content available
Article
Publication date: 13 May 2021

Md. Mukitul Hoque and Bildana Haque Saumi

In the modern era of transportation, using a ride-sharing service can add an extra value to the lifestyles of women. Also, women are thinking about the ride-sharing…

Abstract

Purpose

In the modern era of transportation, using a ride-sharing service can add an extra value to the lifestyles of women. Also, women are thinking about the ride-sharing service, what are the factors they consider while purchasing the service and so on. The purpose of this study is to find out women’s perception of ride-sharing services.

Design/methodology/approach

This paper is based on deductive research approach and descriptive research design. This paper has followed mixed research method by using qualitative and quantitative data. By dividing the larger population into subgroups, the researchers have conducted a survey on 240 respondents. To select these respondents, researchers have applied simple random technique. Based on a survey on consumers’ buying behaviour of ride-sharing service, the researchers tested the impact of tangibility, reliability, safety, fare, efficiency and convenience as the factors for choosing ride-share rather than other public transportation.

Findings

The study results indicate that reliability which includes consistency, punctuality and schedule routes are the major concerning issue for women while choosing ride-share service. Women are also concerned about efficiency which includes global positioning system tracking, smartphone technology and so on. One of the important criteria for choosing a ride-sharing service is safety, which includes verified drivers, and drivers review scores. So, reliability, efficiency and safety are the most effective issues. On the other hand, tangibility, fare and convenience do not affect that much.

Originality/value

To the best of the authors’ knowledge, this is the first research to scrutinize the sharing economy service in Dhaka city towards women’s perception of commuting.

Details

Rajagiri Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0972-9968

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Article
Publication date: 8 August 2016

Asma Chakri, Rabia Khelif and Mohamed Benouaret

The first order reliability method requires optimization algorithms to find the minimum distance from the origin to the limit state surface in the normal space. The…

Abstract

Purpose

The first order reliability method requires optimization algorithms to find the minimum distance from the origin to the limit state surface in the normal space. The purpose of this paper is to develop an improved version of the new metaheuristic algorithm inspired from echolocation behaviour of bats, namely, the bat algorithm (BA) dedicated to perform structural reliability analysis.

Design/methodology/approach

Modifications have been embedded to the standard BA to enhance its efficiency, robustness and reliability. In addition, a new adaptive penalty equation dedicated to solve the problem of the determination of the reliability index and a proposition on the limit state formulation are presented.

Findings

The comparisons between the improved bat algorithm (iBA) presented in this paper and other standard algorithms on benchmark functions show that the iBA is highly efficient, and the application to structural reliability problems such as the reliability analysis of overhead crane girder proves that results obtained with iBA are highly reliable.

Originality/value

A new iBA and an adaptive penalty equation for handling equality constraint are developed to determine the reliability index. In addition, the low computing time and the ease implementation of this method present great advantages from the engineering viewpoint.

Details

Multidiscipline Modeling in Materials and Structures, vol. 12 no. 2
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 3 October 2016

Norbert Grzesik

In the era of common digitalization and far reaching progress in the field of cybernetics, it is necessary to use the knowledge and experience in military cybernetics…

Abstract

Purpose

In the era of common digitalization and far reaching progress in the field of cybernetics, it is necessary to use the knowledge and experience in military cybernetics applications. In the field of machines, control fuzzy expert inference systems open new horizons and possibilities. Generally, the main affect of human efforts in the case of artificial intelligence is to create a machine with a set of behaviors and attitudes that would allow it to work independently, with ability to adjust to changing environmental conditions and an advisory role in the decision-making process. It should be noted that this technology used in some cases has already produced successful results. This paper aims to describe how the fuzzy expert inference membership function shapes influence analysis on selected air tasks efficiency evaluation results. Presented results prove that proper fuzzy membership functions shape selection has fundamental influence on aircraft system level of efficiency evaluation (its calculation accuracy). Using this technology in military aviation air tasks efficiency evaluation aspects is pioneer.

Design/methodology/approach

In the era of common digitalization and far reaching progress in the field of cybernetics, it is necessary to use the knowledge and experience in the domain of cybernetics in military applications. Artificial intelligence that so much influences on the imagination of scholars actually opens new horizons when it comes to control the machines. Relatively recently, it is introduced for military applications such departments of artificial intelligence as fuzzy logic, expert systems and fuzzy control theory.

Findings

In this paper, fuzzy expert inference membership function shapes influence analysis on selected air tasks efficiency evaluation results are described. Presented results prove that proper fuzzy membership functions shape selection has fundamental influence on aircraft system level of efficiency evaluation (its calculation accuracy).

Practical implications

The issue solved in the paper is based on application of theoretical results in practice. The paper can be estimated to bridge the gap between theory and practice in specific field.

Originality/value

Using this technology in military aviation air tasks efficiency evaluation aspects is pioneer.

Details

Aircraft Engineering and Aerospace Technology, vol. 88 no. 6
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 9 August 2013

Uday Kumar, Diego Galar, Aditya Parida, Christer Stenström and Luis Berges

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various…

Abstract

Purpose

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

Design/methodology/approach

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

Findings

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

Originality/value

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

Details

Journal of Quality in Maintenance Engineering, vol. 19 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

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