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Article
Publication date: 1 April 2014

Abdullah A. Alabdulkarim, Peter D. Ball and Ashutosh Tiwari

The demand for contracts on assets availability has increased. Recently published papers show that the use of asset health monitoring technologies is being encouraged to improve…

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Abstract

Purpose

The demand for contracts on assets availability has increased. Recently published papers show that the use of asset health monitoring technologies is being encouraged to improve the asset performance. This is based on reason rather than analysis. This paper aims to understand and assess the effect of different types of business processes for maintenance resource levels on the behaviour of the maintenance operations and asset availability located at different customer locations using different asset monitoring levels.

Design/methodology/approach

A discrete event simulation (DES) model was developed to mimic complex maintenance operations with different monitoring levels (reactive, diagnostics, and prognostics). The model was created to understand and assess the influence of resources (labour and spare parts) on a particular maintenance operation. The model was created to represent different levels of asset monitoring to be applied in a case study. Subsequently, different levels of spare parts (ranging from deficient inventory to a plentiful spares inventory) and labour were applied to show the effects of those resources on the asset availability.

Findings

This research has found that the DES was able to discern different processes for asset monitoring levels in complex maintenance operations. It also provided numerical evidence about applying such asset monitoring levels and proved that the higher asset monitoring level does not always guarantee higher asset availability.

Practical implications

The developed model is a unique model that can provide the decision makers of maintenance operations with numerical evidence to select an appropriate asset monitoring level based on their particular maintenance operations.

Originality/value

A novel DES model was developed to support maintenance operations decision makers in selecting the appropriate asset monitoring level for their particular operations. This unique approach provides numerical evidence rather than reasoning, and also proves that the higher asset monitoring level does not always guarantee higher asset availability.

Details

Business Process Management Journal, vol. 20 no. 2
Type: Research Article
ISSN: 1463-7154

Keywords

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Article
Publication date: 1 June 2015

Abdullah A Alabdulkarim, Peter Ball and Ashutosh Tiwari

Asset management has recently gained significance due to emerging business models such as Product Service Systems where the sale of asset use, rather than the sale of the asset…

898

Abstract

Purpose

Asset management has recently gained significance due to emerging business models such as Product Service Systems where the sale of asset use, rather than the sale of the asset itself, is applied. This leaves the responsibility of the maintenance tasks to fall on the shoulders of the manufacturer/supplier to provide high asset availability. The use of asset monitoring assists in providing high availability but the level of monitoring and maintenance needs to be assessed for cost effectiveness. There is a lack of available tools and understanding of their value in assessing monitoring levels. The paper aims to discuss these issues.

Design/methodology/approach

This research aims to develop a dynamic modelling approach using Discrete Event Simulation (DES) to assess such maintenance systems in order to provide a better understanding of the behaviour of complex maintenance operations. Interviews were conducted and literature was analysed to gather modelling requirements. Generic models were created, followed by simulation models, to examine how maintenance operation systems behave regarding different levels of asset monitoring.

Findings

This research indicates that DES discerns varying levels of complexity of maintenance operations but that more sophisticated asset monitoring levels will not necessarily result in a higher asset performance. The paper shows that it is possible to assess the impact of monitoring levels as well as make other changes to system operation that may be more or less effective.

Practical implications

The proposed tool supports the maintenance operations decision makers to select the appropriate asset monitoring level that suits their operational needs.

Originality/value

A novel DES approach was developed to assess asset monitoring levels for maintenance operations. In applying this quantitative approach, it was demonstrated that higher asset monitoring levels do not necessarily result in higher asset availability. The work provides a means of evaluating the constraints in the system that an asset is part of rather than focusing on the asset in isolation.

Details

Journal of Manufacturing Technology Management, vol. 26 no. 5
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 23 June 2020

Abdullah Alrabghi

The move toward Industry 4 is accelerated by the availability of affordable sensing technologies and networking infrastructure. Condition-Based Maintenance is the well-suited…

146

Abstract

Purpose

The move toward Industry 4 is accelerated by the availability of affordable sensing technologies and networking infrastructure. Condition-Based Maintenance is the well-suited maintenance strategy to make use of the information available on assets condition to optimize maintenance interventions. However, devising the optimum maintenance policy requires a representative model of the maintenance system. Most of the existing research has been focusing on single-component systems. However, assets nowadays are complex and composed of many components. The modeling of multicomponent maintenance systems presents various challenges, especially if interactions between components, such as stochastic, structural, economic and resource dependencies are considered.

Design/methodology/approach

In this paper, we present a detailed modeling approach based on Discrete Event Simulation for nonidentical two-component systems subject to Condition-Based Maintenance considering all four types of dependencies.

Findings

The research has shown that optimizing the maintenance system without considering resource dependence led to different and better solutions. In addition, there is a trade-off between maintenance cost and asset availability, confirming the need for multiobjective optimization.

Originality/value

This paper outlines a modeling approach of CBM for nonidentical two-component systems considering stochastic, structural, economic and resource dependencies. A demonstration on a case study is followed where multiobjective optimization was applied to obtain the optimal maintenance policy while minimizing maintenance cost and maximizing asset availability simultaneously.

Details

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

Keywords

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Article
Publication date: 31 December 2024

Mohamad Iyad Al-Khiami, Søren Munch Lindhard and Søren Wandahl

This study aims to evaluate and synthesize literature on exoskeleton implementation in the construction industry to understand their current applications, evaluate existing…

60

Abstract

Purpose

This study aims to evaluate and synthesize literature on exoskeleton implementation in the construction industry to understand their current applications, evaluate existing research approaches and identify critical areas for future investigation. Through a comprehensive analysis of empirical studies, the research seeks to establish a clear roadmap for advancing exoskeleton adoption in construction work.

Design/methodology/approach

This study conducts a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. By searching relevant databases and applying predefined inclusion criteria, the review focused on empirical studies that evaluate the effectiveness and acceptance of exoskeletons in construction. Both objective parameters (EMG data, Kinematic analysis, heart rate) and subjective parameters (user comfort, perceived exertion, usability surveys) were analyzed to assess how impactful are exoskeletons among construction workers.

Findings

The review identified 236 publications, of which 36 were included, revealing several critical insights: (1) A significant reliance on studies conducted in controlled environments, accounting for 77.78% of studies. (2) A limited representation of actual construction workers, mainly non-construction worker volunteers, which may affect the practical relevance of the findings. (3) A significant gap exists in standardized evaluation protocols, with researchers using varying assessment methods that hinder cross-study comparisons. (4) Predominantly short-term nature of existing studies. These findings highlight the need for more real-world testing, standardized evaluation frameworks and longitudinal studies.

Originality/value

This review contributes original insights into the deployment of exoskeletons in the construction sector, particularly highlighting the industry's gap in direct, in situ engagement with construction workers. It suggests that future research should prioritize long-term, onsite studies to achieve a more comprehensive understanding of exoskeletons’ impacts, thus supporting the development of targeted intervention strategies for reducing work-related musculoskeletal disorders (WMSDs) among construction workers.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 4 September 2017

Desmond Eseoghene Ighravwe and Sunday Ayoola Oke

Maintenance plans are programmes, which follow maintenance appraisals, contain information of what to do and the time approximates for accomplishments. They also deal with how to…

800

Abstract

Purpose

Maintenance plans are programmes, which follow maintenance appraisals, contain information of what to do and the time approximates for accomplishments. They also deal with how to carry out maintenance jobs. In contemporary period, curiosity has proliferated about how sustainability affects manufacturing plans. The purpose of this paper is to offer a comprehensive notion of maintenance sustainability in maintenance planning. The literature has downplayed maintenance sustainability but may support in understanding how to crack the present company-community conflicts about the negative influence of manufacturing on the environment.

Design/methodology/approach

This study develops the idea of selecting the proper maintenance strategy based on integrated fuzzy axiomatic design (FAD) principle and fuzzy-TOPSIS. This work suggests that the maintenance function is an uncertain, activity-oriented system. To fully appreciate the proposed framework, the work employs data from a cement manufacturing plant to test the structure. This study offers 20 influential factors on which it build the fundamental structure of maintenance system sustainability for manufacturing concerns. A novel literature contribution that departs from existing conceptions is the classical determination of weights of each sustainability factor, employing fuzzy entropy weighting approach. Furthermore, work innovatively determines the ranking of some important tenets of sustainability in maintenance and optimises the maintenance consumables employing the FAD principle.

Findings

Interestingly, the output of the investigation revealed differences as the work adopts fuzzy-TOPSIS in comparison with FAD principle.

Originality/value

Case examination of a real-life manufacturing venture validated the claims, showing maintenance workforce training as a top-echelon strategy for maintenance system sustainability.

Details

Journal of Manufacturing Technology Management, vol. 28 no. 7
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 18 December 2024

Martini Dwi Pusparini, Raditya Sukmana and Rodame Monitorir Napitupulu

This study aimed at exploring to what extent social media has educated and shaped public opinion regarding cash waqf. This research comprehensively analyzed the social media…

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Abstract

Purpose

This study aimed at exploring to what extent social media has educated and shaped public opinion regarding cash waqf. This research comprehensively analyzed the social media content to find the most discussed topic and highlighted the trends in cash waqf literacy.

Design/methodology/approach

Twenty-nine videos discussing cash waqf in Indonesia from the YouTube platform were analyzed using NVivo R1 with a content analysis approach.

Findings

The research findings revealed that YouTube videos addressing cash waqf were categorized into four distinct clusters: government, ulama/influencers/professionals, nadzir (waqf manager) and TV stations, with the government cluster producing a higher number of videos (n = 11) than the other clusters. The findings also highlighted the limited involvement of nadzir in educating the public about cash waqf, as evidenced by a smaller number of videos (n = 5). Among these videos, the most frequently discussed topics included the utilization of cash waqf (n = 20), promotion of cash waqf (n = 14) and risk management (n = 13). Negative sentiment (n = 262) was observed to exceed positive sentiment (n = 107).

Practical implications

The findings of this study contribute to the fundraising aspect of cash waqf because the inclusivity of digital content in cash waqf campaigns is crucial to raise awareness of the public. In addition, these findings may help waqf managers (nadzir) assess the extent of educational content about cash waqf on YouTube and the public’s response to this content.

Originality/value

To the best of the authors’ knowledge, this study is the first to analyze the social media content, particularly from YouTube platforms, and public sentiment against cash waqf.

Details

Journal of Islamic Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0833

Keywords

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