Development of digitalised maintenance – a concept

Algabroun, Hatem; Bokrantz, Jon; Al‐Najjar, Basim; Skoogh, Anders

doi:10.1108/jqme-04-2019-0039

Cited by 14 publications

(12 citation statements)

References 92 publications

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“…Hatem Algabroun et al . developed a concept for digital maintenance through 4IR technologies (Algabroun et al ., 2022). Acernese et al .…”

Section: Literature Reviewmentioning

confidence: 99%

“…The study suggests how IoT sensors, IoT cloud, and business process management notation can benefit remote and rural areas (Richardson et al, 2022). Hatem Algabroun et al developed a concept for digital maintenance through 4IR technologies (Algabroun et al, 2022). Acernese et al describe a model for developing a condition-based maintenance strategy through the adaption of empirical and machine learning-based models for comparison purposes (Acernese et al, 2021).…”

Section: Th Industrial Revolutionmentioning

confidence: 99%

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Maintenance work management process model: incorporating system dynamics and 4IR technologies

Manenzhe

Telukdarie

Munsamy

2023

JQME

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PurposeThe purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.Design/methodology/approachThe extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.FindingsA process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.Research limitations/implicationsThe study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.Practical implicationsThe maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.Social implicationsThis research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.Originality/valueThis paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

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“…Hatem Algabroun et al . developed a concept for digital maintenance through 4IR technologies (Algabroun et al ., 2022). Acernese et al .…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Th Industrial Revolutionmentioning

confidence: 99%

Maintenance work management process model: incorporating system dynamics and 4IR technologies

Manenzhe

Telukdarie

Munsamy

2023

JQME

View full text Add to dashboard Cite

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“…A digitalized maintenance system helps reduce the risk of failure. It minimizes the consequences of unpredicted breakdown by detecting and analyzing abnormalities, identifying the causes, and establishing the required maintenance action ( 114 ). If no anomaly is detected, it predicts future occurrences, determines the risk, and then selects a maintenance plan that supports organizational goals ( 114 ).…”

Section: The Future Of Gravel Road Maintenancementioning

confidence: 99%

Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research

Mbiyana

Kans

Campos

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Gravel roads form a significant share of the global road network, usually in sparsely populated rural areas. They are important, especially in agriculture, tourism, and forestry, connecting rural to urban areas. This systematic literature study comprises 105 reviewed publications on gravel road maintenance. Review articles on maintenance management practices, especially concerning objective condition assessment and data-driven methods (DDMs), are lacking. Therefore, this review provides a concise overview of current gravel road maintenance practices and ongoing research on objective condition assessment and DDMs for gravel road maintenance. It offers researchers in gravel road maintenance and other related fields a clear indication of where to focus their research efforts, as it suggests the direction for future research. Visual assessment methods are predominant for monitoring the condition of gravel roads, while objective methods and DDMs are not common. Research on gravel roads and their maintenance has increased in the last two decades, especially in North America and Northern Europe. Condition assessment is shifting from subjective to objective methods, utilizing knowledge from technological advancements in image processing, vibration and acoustics analysis, and so forth. There are some excellent research initiatives for objectively assessing the condition of gravel roads and DDMs, but the practical implementation is limited. Implementing objective assessment methods and DDMs generally improves the management of gravel roads with regard to decision-making, maintenance costs, safety, and the stability and comfort of the ride. Objective condition assessment and DDMs have the potential to enhance maintenance practices in the maintenance of gravel roads.

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“…With globalization, the survival of companies, whether small, medium or large, depends on the speed of innovating and making continuous improvements (Algabroun et al, 2022;Martinetti et al, 2021;Pezeshkian and Hamidi, 2020). JQME 29,4 To be competitive, these must adopt new management and organization tools, and should focus on subjects that they really have domain, or better perception, such as the shop floor (Algabroun et al, 2022;Martinetti et al, 2021;Pezeshkian and Hamidi, 2020).…”

Section: Introductionmentioning

confidence: 99%

Improving the performance of a conveyor belt through lean philosophy and Industry 4.0

Mendes

Navas²,

Charrua-Santos

2023

JQME

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PurposeThe purpose of this study was to develop and implement a new model to improve maintenance management and the production system through the concepts: maintenance, lean philosophy and Industry 4.0.Design/methodology/approachThe methodology employed in this study includes conducting a bibliographic survey of existing models exploring the joint application of the concepts under study, critically analyzing these models, developing a model proposal and subsequently analyzing the results obtained. The model is implemented on a belt conveyor of a feed mill to improve its performance.FindingsThe proposed model contributes to improve maintenance and production system management, proving to be a useful tool to improve real-time decision-making. After its application, it was possible to verify that it increased the performance of the conveyor belt, as well as improved the skills of the operators who operate on it.Research limitations/implicationsLimitation about the distance between the devices that make up the model. The implementation of autonomous maintenance can highlight some challenges within the company. The implementation was only in the belt conveyor, being useful to introduce this in the remaining areas of the factory.Originality/valueThe study presents an innovative, versatile, low-cost and easy-to-apply model to improve maintenance management by combining the three concepts. The model can be easily adapted to monitor condition parameters such as temperature, noise, among others, through the correct choice of devices and proper programming. This work also contributed to help in real-time decision-making for both the maintenance and production departments.

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Development of digitalised maintenance – a concept

Cited by 14 publications

References 92 publications

Maintenance work management process model: incorporating system dynamics and 4IR technologies

Maintenance work management process model: incorporating system dynamics and 4IR technologies

Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research

Improving the performance of a conveyor belt through lean philosophy and Industry 4.0

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