XAI Sustainable Human in the Loop Maintenance

Turner, Christopher; Okorie, Okechukwu; Oyekan, John

doi:10.1016/j.ifacol.2022.09.185

Cited by 9 publications

(4 citation statements)

References 15 publications

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“…The recent review studies show that existing body of knowledge on the topic of sustainable maintenance within the domain of Industry 4.0 [6] and Industry 5.0 [22], i.e., Maintenance 5.0, is mostly concerned [23] with resilient, worker-in-the-loop and human-inthe-loop [11] maintenance research. It places the wellbeing of the worker at the centre of the production process, enabling the use advanced technologies that provide prosperity beyond jobs.…”

Section: Related Researchmentioning

confidence: 99%

“…Such a holistic approach provides (1) a shift in traditional perception of maintenance as a "necessary evil" to "value-added activity" [7]; (2) transition from a short-term financial benefit to a long-term perspective; and (3) better understanding of the life cycle impacts of maintenance activities [8]. With the adoption of SM practices, one potentially contributes to the realisation of Sustainable Development Goals (SDG) [9]-imposed by the European Commission, promotes circular economy (CE) principles [10], and enhances social equity [11], which are all dimensions that SM tries to encapsulate. Moreover, SM yields economic benefits in the long run.…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review

Vasić,

Orošnjak,

Brkljač

et al. 2024

Sustainability

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The evolution from traditional industrial maintenance to sustainable maintenance (SM) is pivotal within an existing industrial ecosystem. This study, utilising an umbrella review (UR), critically examines this transition, highlighting its increased importance in maintenance decision-making (MDM). Using a sample (n = 20) of reviews, we synthesised meta-, methodological-, and content-based evidence and performed bibliometric, thematic and statistical analyses. For the bibliometric and thematic/conceptual analyses, we used the R bibliometrix package. The results show that the early research focuses mainly on theoretical aspects, while recent studies examine the practical implications. Also, comprehensive studies evaluating the benefits of implementing environmental and social aspects within MDM are still lacking. For that reason, we switched the attention to content-based data, from which we identified 43 distinct criteria discussed. For the analysis of criteria, the Bayesian Network Analysis with Gaussian Copula Graphical Model (BNA-GCGM) method was used. Although the evidence shows that environmental pollution, energy consumption and health and safety of workers are the most discussed criteria, the BNA-GCGM suggests that labour costs, resource consumption, employee satisfaction and energy consumption, among others, are the most influential criteria in the network analysis. Interestingly, after distinguishing studies into pre- and post-2021 research, the results show that pre-2021 research is primarily focused on economic and technical factors, reflecting a profit-oriented approach. The post-2021 analysis suggests a discernible shift towards more balanced considerations by incorporating social and environmental factors, suggesting a more socially responsible approach. Finally, while SM is gaining momentum, further empirical and practical research are required to demonstrate the advantages that SM offers in the light of the upcoming Industry 5.0.

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Section: Related Researchmentioning

confidence: 99%

Section: Introduction 1backgroundmentioning

confidence: 99%

Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review

Vasić,

Orošnjak,

Brkljač

et al. 2024

Sustainability

View full text Add to dashboard Cite

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“…• Brain-machine interface; The last interface mentioned by Müller [68] utilises causality-based AI; such an interface may be realised through the use of Explainable Artificial Intelligence (XAI), a technology that allows black box operation AI approaches to provide human legible explanations on how automated decisions or reasonings have been arrived at [69]. It is this technology that holds the most promise in enabling human workers to remain in, or enter, the increasingly automated decision-making loop.…”

Section: Human In the Loopmentioning

confidence: 99%

Personalised Production in the Age of Circular Additive Manufacturing

Turner

Oyekan

2023

Applied Sciences

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This research examines the opportunities provided by advances in digital manufacturing technologies for the provision of products designed to meet the needs of an individual consumer. The ability to co-create products with customers could enable mass personalisation to become a popular and fast-growing mode of production. Additive manufacturing, in both 3D and 4D printing forms, opens up new opportunities for circular economy-compliant production of such highly personalised products. Industry 4.0 has been seen by many as an agenda for the utilisation of interconnected digital technologies in industry, with a particular focus on manufacturing. Industry 5.0 seeks to address challenges that have grown in importance since the inception of Industry 4.0, such as the efficient inclusion of human worker skills in tandem with automation solutions, to address highly complex manufacturing scenarios while mitigating many of the environmental issues inherent with current manufacturing practices, while using circular economy principles. In examining the production of smart fabrics, this paper puts forward a framework for circular production of additively manufactured personalised products, co-designed with inputs from consumers.

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“…In the intersection between this Industry 4.0 technology and sustainable maintenance in the context of the manufacturing sector, predictive maintenance has become a potential maintenance strategy that can benefit manufacturing through better sustainable solutions due to the incorporation of the Industrial Internet of Things (IIoT) [157]. To present a new level of agility to cyber-assisted maintenance activities and full lifecycle consideration of assets while emphasizing the necessity of achieving sustainability goals for manufacturing companies worldwide, the authors of [97] highlighted contemporary maintenance from an ergonomic viewpoint by bridging the gap between humans and machines through Explainable Artificial Intelligence (XAI) that provides artificial intelligence algorithms with narrative functionality so that they can communicate the significant steps taken in solving the problem to a human. Indeed, they presented a framework for human-in-the-loop intelligent and sustainable maintenance, which is, so far, one of the most important samples of contemporary maintenance in the manufacturing literature; in this artificial intelligence-enabled sustainable maintenance solution, XAI was used since it refers to developing artificial intelligence models that are transparent and understandable to humans.…”

Section: Propositions and Research Implicationsmentioning

confidence: 99%

A Review of Sustainable Total Productive Maintenance (STPM)

et al. 2023

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Sustainable Total Productive Maintenance (STPM) arose in 2021 as a promising, new concept to fill the lack of sustainability in Total Productive Maintenance (TPM) and allow companies to overcome its implementation barriers. It revolves around increasing the understanding of the systems approach and contributing to setting contemporary companies’ sustainable ideology by supporting orientation toward sustainability from a sustainable maintenance perspective. However, STPM is still in its infancy and is viewed as a complement to the traditional TPM approach and is based on its pillars. Moreover, there is still a dearth of literature discussing STPM. This study aims to present STPM as a novel substitute for TPM while building its unique mechanism based on re-engineered fourth generation management (R4thGM). To pursue such a goal, 94 papers from Scopus, Web of Science, and Science Direct databases published in 2008–2023 were reviewed. This study’s novelty comes from presenting STPM as the best-suited lean manufacturing and sustainability strategy for enhancing sustainable maintenance, encouraging contemporary maintenance (i.e., Industry 4.0 technology-based sustainable maintenance), and supporting second-era contemporary companies’ orientation toward sustainability. Furthermore, based on recent studies, propositions are formulated to achieve STPM. Finally, research implications and future directions are presented.

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XAI Sustainable Human in the Loop Maintenance

Cited by 9 publications

References 15 publications

Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review

Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review

Personalised Production in the Age of Circular Additive Manufacturing

A Review of Sustainable Total Productive Maintenance (STPM)

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