Multi-component maintenance grouping optimization based on stochastic dependency

Vijayan, Vimal; Chaturvedi, Sanjay K.

doi:10.1177/1748006x20947511

Cited by 6 publications

(8 citation statements)

References 17 publications

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“…On the other hand, stochastic dependence establishes the existence of lifetime correlation and deterioration between the different components of the production system. Recently, the research developed in Vijayan and Chaturbedi [43] simultaneously addresses the economic and stochastic dependence in multi-component systems, while research works such as Lu and Zhou [44], and Fan et al [45] address the stochastic dependence phenomenon by modeling the deterioration of the components.…”

Section: Maintenance Grouping Strategies and Literature Reviewmentioning

confidence: 99%

Opportunistic Strategy for Maintenance Interventions Planning: A Case Study in a Wastewater Treatment Plant

et al. 2021

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Wastewater treatment plants (WWTPs) face two fundamental challenges: on the one hand, they must ensure an efficient application of preventive maintenance plans for their survival under competitive environments; and on the other hand, they must simultaneously comply with the requirements of reliability, maintainability, and safety of their operations, ensuring environmental care and the quality of their effluents for human consumption. In this sense, this article seeks to propose a cost-efficient alternative for the execution of preventive maintenance (PM) plans through the formulation and optimization of the opportunistic grouping strategy with time-window tolerances and non-negligible execution times. The proposed framework is applied to a PM plan for critical high-risk activities, addressing primary treatment and anaerobic sludge treatment process in a wastewater treatment plant. Results show a 26% system inefficiency reduction versus the initial maintenance plan, demonstrating the capacity of the framework to increase the availability of the assets and reduce maintenance interruptions of the WWTP under analysis.

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Section: Maintenance Grouping Strategies and Literature Reviewmentioning

confidence: 99%

Opportunistic Strategy for Maintenance Interventions Planning: A Case Study in a Wastewater Treatment Plant

et al. 2021

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“…However, in the presence of multicomponent systems, it is necessary to account for the interactions between them, which can be classifed into 3 types: economic, structural, and stochastic. Economic dependence is the most common within these [7] and implies that the combination or grouping of maintenance activities will be cheaper than carrying them out separately (positive dependence), while negative economic dependence occurs when the combination of maintenance activities is more expensive than maintaining the components individually [8]. Structural dependence refers to the fact that to carry out a maintenance activity in a certain component, it is necessary to intervene in others.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the interactions between components of a system, commonly, the dependence incorporated into the assessment is the economic one, which refers to the possible decrease in the costs of grouping maintenance activities [5,[16][17][18][19]. For its part, stochastic dependence from the point of view of component degradation and its efect on the distribution of the useful life of others has been addressed in conjunction with economic dependence in [2,8,[20][21][22][23]. In fact, several studies have been conducted addressing more accurate and robust modelling, accounting for the interactions, criticality of components [24], and the downstream efect of components that after failure allow normal performance for a limited time [25].…”

Section: Introductionmentioning

confidence: 99%

Extended Framework for Preventive Maintenance Planning: Risk and Behaviour Analysis of a Proposed Optimization Model

et al. 2023

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The considerable increase in the complexity associated with the formulation of maintenance plans has enabled the development of new techniques to bring maintenance scheduling optimization models to more realistic environments. In this sense, a previous optimization model was proposed considering the use of time windows for the formation of grouping schemes under an opportunistic strategy for maintenance activities considering non-negligible execution times, thus offering the possibility of analysing scenarios with limited resources. This article proposes a risk analysis based on the failure probability of each component involved in the maintenance scheduling optimization model, which has the particularity of enabling a greater number of combinations of grouped PM activities. Moreover, it seeks to identify the general behaviour of the optimization model against different scenarios of periodicities and execution times of each maintenance activity. The proposed optimization model is formulated under a mixed integer linear programming (MILP) paradigm and its objective function seeks to minimize the unavailability of the system associated with the execution times of the activities developed, generating different experimental cases, and varying the start time scheduling under a tolerance factor from 0% up to a maximum of 25% for advance or delay. Results show in contrast with the base optimization model, an 8% less unavailability when the tolerance factor is 10%. Finally, it was possible to quantify the risk present in each maintenance schedule, at the same time a behaviour towards advancing PM activities is evidenced by the optimization model proposed over the delay.

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“…Dao and Zuo 32 addressed the grouping strategy for multi-state multi-component series systems with selective maintenance and structural dependency: under this interaction, the system necessary requires the replacement of other working units, or at least their dismantlement to repair the failed ones. 15 Vijayan and Chaturbedi 14 address the optimization of grouped PM activities by analyzing the economic and stochastic dependence in multi-component systems, minimizing the total maintenance costs through the modeling of Bayesian networks for the case study of a diesel power plant. Lu and Zhou 33 propose the opportunistic grouping strategy on series-parallel multistage systems.…”

Section: Introductionmentioning

confidence: 99%

Integrated planning framework for preventive maintenance grouping: A case study for a conveyor system in the Chilean mining industry

Viveros

Mena

Zio

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Increasingly complex production environments pose new challenges and require the development of new methodological approaches in the search for effective and cost-efficient maintenance planning, taking into account their applicability in real industrial environments. In this context, this article proposes an extension of the integrated framework for opportunistic preventive maintenance (PM) planning, proposed originally in Viveros et al. integrating non-negligible execution times of PM activities and time-window tolerances criterion for the generation of opportunistic grouping schemes. This work offers the implementation of the proposed framework in a practical case within the Chilean mining industry, expanding the analysis on scarce resource availability scenarios for PM tasks to be performed on conveyor belts in the grinding process. The proposed planning optimization model is formulated under the mixed-integer linear programming (MILP) paradigm, and searches minimizing the asset unavailability under several tolerance levels for the case study analyzed. The results show a 35% downtime reduction for a maximum tolerance factor of 10% considering an unconstrained maintenance resource scenario, which confirms the ability of the model to increase asset availability, minimizing system interruptions, improving its cost efficiency, and enhancing productivity levels in the mining industry.

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Multi-component maintenance grouping optimization based on stochastic dependency

Cited by 6 publications

References 17 publications

Opportunistic Strategy for Maintenance Interventions Planning: A Case Study in a Wastewater Treatment Plant

Opportunistic Strategy for Maintenance Interventions Planning: A Case Study in a Wastewater Treatment Plant

Extended Framework for Preventive Maintenance Planning: Risk and Behaviour Analysis of a Proposed Optimization Model

Integrated planning framework for preventive maintenance grouping: A case study for a conveyor system in the Chilean mining industry

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