Preventive maintenance planning considering machines’ reliability using group technology

Alhourani, Farouq; Essila, Jean; Farkas, Bernie

doi:10.1108/jqme-12-2019-0118

Cited by 2 publications

(1 citation statement)

References 58 publications

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“…This model effectively predicts which components need maintenance on a daily basis for future periods. Alhourani et al [27] proposed an efficient preventive maintenance strategy based on calculating equipment reliability following an exponentially distributed distribution. Their approach considered grouping machines with similar failure modes and reliability levels for optimal resource allocation during maintenance operations.…”

Section: Literature Reviewmentioning

confidence: 99%

A Predictive Maintenance Strategy for Multi-Component Systems Based on Components’ Remaining Useful Life Prediction

Lv,

Zheng,

Yuan

et al. 2023

Mathematics

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Industries increasingly rely on intricate multi-component systems, necessitating efficient maintenance strategies to ensure system reliability and minimize downtime. Predictive maintenance, an emerging approach that utilizes data-driven techniques to forecast and prevent failures, holds significant potential in this regard. This paper presents a predictive maintenance strategy tailored specifically for multi-component systems. In order to accurately anticipate the remaining useful life (RUL) of components, we develop a method that combines data and model fusion based on a particle filtering approach and a degradation distribution model. By integrating degradation data with models, our method outperforms traditional model-based approaches in terms of prediction accuracy. Subsequently, we apply an optimized maintenance model to individual components based on the trigger threshold for RUL. This model determines the most optimal maintenance actions for each component, with the aim of minimizing maintenance costs. Furthermore, we introduce an optimized maintenance strategy that incorporates opportunistic maintenance to further reduce the overall maintenance cost of the system. This strategy leverages predicted RUL information to schedule proactive maintenance actions at the opportune moment, resulting in a significant cost reduction compared to traditional periodic maintenance approaches. To validate the feasibility and effectiveness of our proposed strategy, we utilize experimental data from open-source lithium-ion batteries at the NASA PCoE Center. Through this empirical validation, we provide real-world evidence showcasing the applicability and performance of our strategy in a multi-component system.

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Section: Literature Reviewmentioning

confidence: 99%

A Predictive Maintenance Strategy for Multi-Component Systems Based on Components’ Remaining Useful Life Prediction

Lv,

Zheng,

Yuan

et al. 2023

Mathematics

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Circular Economy and Technological Innovation in the Forest-Based Sector: A Study on Wood–Plastic Composites Business Plan and Cost Calculations

Osvaldová,

Potkány

2024

Forests

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It is currently essential to seek innovative solutions for sustainability and the efficient use of resources, rooted in bioeconomy principles and linked to the concepts of the circular economy. Technological innovations supporting the production of wood–plastic composites, using recycled materials, reduce the ecological footprint. The aim of the study was to present conclusions of the evaluation of the business plan concept’s effectiveness and to propose applications of traditional and innovative cost calculations resulting from the implementation of technological innovations in the production of wood–plastic composites in the forest-based sector in accordance with the principles of the circular economy. Using dynamic methods for evaluating business plan net present value, profitability index, internal rate of return, and discounted payback period, positive recommendations for project rentability were identified under both realistic and pessimistic scenarios. By applying traditional markup calculation, material cost savings of EUR 3.99/m3 were quantified, representing a relative saving of over 2% compared to traditional particle board. Verification of alternative machine hour rate calculation allows for more precise allocation of overhead costs into product pricing and provides the ability to respond swiftly to changes in input parameters. The findings have practical implications for the forest-based sector, as the use of recycled plastics can reduce production costs and increase the competitiveness of production.

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Preventive maintenance planning considering machines’ reliability using group technology

Cited by 2 publications

References 58 publications

A Predictive Maintenance Strategy for Multi-Component Systems Based on Components’ Remaining Useful Life Prediction

A Predictive Maintenance Strategy for Multi-Component Systems Based on Components’ Remaining Useful Life Prediction

Circular Economy and Technological Innovation in the Forest-Based Sector: A Study on Wood–Plastic Composites Business Plan and Cost Calculations

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