An optimal integrated lot sizing and maintenance strategy for multi-machines system with energy consumption

Hajej, Zied; Rezg, Nidhal

doi:10.1080/00207543.2019.1654630

Cited by 16 publications

(8 citation statements)

References 29 publications

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“…Furthermore, a significant number of studies did not take into account the duration of the maintenance actions themselves, their energy consumption and their other impacts on sustainability. As recommended by Hajej and Rezg (2020), maintenance actions duration should be taken into consideration along with their impact on the production plans. Along the same lines, Xu and Cao (2019) stated that frequent maintenance can decrease productivity by increasing the downtime and also noted that the amounts of energy required to restart and setup the machine following each maintenance action can be significant.…”

Section: Discussion and Research Gapsmentioning

confidence: 99%

Maintenance and sustainability: a systematic review of modeling-based literature

Saihi

Ben‐Daya

As’ad

2022

JQME

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PurposeMaintenance is a critical business function with a great impact on economic, environmental and social aspects. However, maintenance decisions' planning has been driven by merely economic and technical measures with inadequate consideration of environmental and social dimensions. This paper presents a review of the literature pertaining to sustainable maintenance decision-making models supported by a bibliometric analysis that seeks to establish the evolution of this research over time and identify the main research clusters.Design/methodology/approachA systematic literature review, supported with a bibliometric and network analysis, of the extant studies is conducted. The relevant literature is categorized based on which sustainability pillar, or possibly multiple ones, is being considered with further classification outlining the application area, modeling approach and the specific peculiarities characterizing each area.FindingsThe review revealed that maintenance and sustainability modeling is an emerging area of research that has intensified in the last few years. This fertile area can be developed further in several directions. In particular, there is room for devising models that are implementable, based on reliable and timely data with proven tangible practical results. While the environmental aspect has been considered, there is a clear scarcity of works addressing the social dimension. One of the identified barriers to developing applicable models is the lack of the required, accurate and timely data.Originality/valueThis work contributes to the maintenance and sustainability modeling research area, provides insights not previously addressed and highlights several avenues for future research. To the best of the authors' knowledge, this is the first review that looks at the integration of sustainability issues in maintenance modeling and optimization.

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Section: Discussion and Research Gapsmentioning

confidence: 99%

Maintenance and sustainability: a systematic review of modeling-based literature

Saihi

Ben‐Daya

As’ad

2022

JQME

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“…ey use a cost model of wind forms to investigate the relationship between energy changes in the production rate and the failure rate of wind turbines, and they also explored the best-integrated lot sizing and maintenance approach for multi-machine systems in terms of energy consumption [25].…”

Section: Review Of Literaturementioning

confidence: 99%

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Mathematical Problems in Engineering

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Small and medium-sized enterprises (SMEs) in today’s world have numerous issues in ensuring the availability and safety of critical machines and their components in the working environment. As a result, SMEs considered planning and scheduling maintenance tasks to be a significant threat. The goal of this research is to identify the critical subsystem of the automobile spare parts production plant in the southern region of Tamil Nadu, India, and then to prioritize the maintenance activity and set up an architecture for autonomous preventive maintenance (PM) in SMEs that includes an optimal decision support system. The transition state diagram of the individual and simultaneous production system has been developed with the application of the Markov decision model approach. It was used to analyze the present variables of the production systems and forecast the optimal maintenance parameters such as the failure rate and the repair rate, through the production system’s availability analysis. This availability analysis reveals that system B (Piercing) is classified as the most critical because of the abrupt availability variation compared to all other production systems, concerning the corresponding maintenance parameters such as a failure rate of 0.0371, a repair rate of 0.7094, and the availability of the piercing system of 0.5056. Finally, the use of an autonomous PM management system and the most effective maintenance workforce has enhanced productivity and customer satisfaction in SMEs. The predictive maintenance management system has been further investigated to determine the real-time remaining useful life (RUL) of critical systems in the automobile spare parts manufacturing plant in the southern region of Tamil Nadu, India.

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“…For these reasons, the framework authors consider the "Set Expectations" as a driving process. Hajej and Rezg (2020) have highlighted the importance of tuning the maintenance strategy according to the production plan to consider the relationship between the production rate and the equipment degradation (Hajej and Rezg, 2020, p. 4469). Also, Labib et al (1997) proposed an assessment based on an analytical hierarchy process (AHP) framework of most likely scenarios based on a combination of both economic and market conditions to specify the importance of stakeholders and prioritise the selection of appropriate maintenance strategy (Labib et al, 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

A conceptual framework for an agile asset performance management process

Karar

Labib

Jones

2021

JQME

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PurposeDisturbances in terms of major crises such as pandemics, fluctuations in demand and oil price, energy consumption and supply chain can significantly impair the maintenance programs effectiveness and efficiency. Hence, there is an urgent need for an agile asset performance management (AAPM) framework.Design/methodology/approachThis paper's main objective is to design a comprehensive framework for an AAPM system that sustains the desired asset performance by reacting efficiently, quickly and intelligently to the changes in the operating context parameters and asset health conditions. Such a framework is adaptive to changes in scenarios and aims to systematise the decision support process, considering different objectives.FindingsThe development of the proposed framework has led to identifying an innovative way of seamless integration between crucial reliability and asset management tools. Also, the methodology implementation is expected to promote the practical use of its reliability tools and enable asset stakeholders to break silo working for clear communication around asset performance.Originality/valueThe implementation of the AAPM framework follows a new approach developed during this research and coined by the authors as the “8S approach.”

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An optimal integrated lot sizing and maintenance strategy for multi-machines system with energy consumption

Cited by 16 publications

References 29 publications

Maintenance and sustainability: a systematic review of modeling-based literature

Maintenance and sustainability: a systematic review of modeling-based literature

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

A conceptual framework for an agile asset performance management process

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