Performance Evaluation of Hydro Generating Units Through the AHP Method

Silva, Patrícia de Sousa Oliveira; Oliveira, Marcos T.B. de; Oliveira, Edimar J. de; Conceição, Lucas R.; Junqueira, Giovani Santiago; Marcato, André L. M.; Oliveira, Fernando Luiz Cyrino

doi:10.1007/s40313-021-00839-1

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…Planning preventive maintenance includes definition of intervention frequency and intervals, workforce and resource coordination, and part replacement management (Mena et al 2021 ). This is not a simple task, as the balance between reliability and maintenance cost must be considered (Lie and Chun 1986 ; Akl et al 2022 ; Kunz 2022 ; de Silva et al 2022 ). Shortening the maintenance interval and replacing parts before the end of service life impact the overall cost, due to the cumulative mean time to repair preventively (MTTR p ) and downtime cost (CHC) plus part cost (CC n ), while the postponement of maintenance interventions increases the mean time to repair correctively (MTTR c ), and higher failure rates are expected, due to reliability depletion, as shown in Fig.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Among different methods to handle multidimensional analysis and to support decisions related to preventive maintenance issues, the Analytic Hierarchy Process (AHP), a structured technique of multicriteria decision analysis for organizing and analysing complex decisions, has been used by many researchers (Mostafa and Fahmy 2020;Mutlag and Dawood 2020;Wang 2021;de Silva et al 2022;Mathew et al 2022;Sidhu et al 2022), due to the fact that it can effectively handle the degree of uncertainty and assist in determining the optimal strategy for performing preventive maintenance. In the present study, we used the AHP to establish a preventive maintenance plan for a steel company straightening machine.…”

Section: Introductionmentioning

confidence: 99%

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Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil

et al. 2023

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Equipment failure and production shortfalls can cause significant impacts on companies. Preventive maintenance can potentially increase equipment reliability and availability, helping companies achieve their corporate goals while reducing operation and maintenance costs. However, determining the optimal interval between maintenance interventions involves balancing various factors such as maintenance costs, equipment availability, risk of failures, and the need for corrective maintenance, as well as potential operational and financial impacts. Under this context, this paper aims to define the interval between preventive maintenance interventions for a key production equipment in a steel company located in Southeast region of Brazil. Upon documental analysis and interviews with experts, an AHP was applied to hierarchize the maintenance periodicity, based on the following criteria: part replacement based on service life, downtime hours for preventive maintenance, equipment reliability, and cost of materials and labour. A biweekly preventive maintenance periodicity was identified as the most adequate for the analysed device. An implementation plan was approved and preliminary results indicate no availability deterioration, while maintenance costs are below historical average.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil

et al. 2023

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“…In [7][8][9], the authors address aspects of the AFA related to issues of a hydrological risk mitigation mechanism, which occurs as a result of the seasonality of the affluent flow. In [10], the authors apply the method of Analytic Hierarchy Process (AHP) to obtain a classification of Generating Units (GUs) observing indicators that impact the AFA. In [6], the authors propose an optimal maintenance schedule, observing operational and regulatory aspects for plants connected to the NIS.…”

Section: Introductionmentioning

confidence: 99%

Availability Projections of Hydroelectric Power Plants through Monte Carlo Simulation

et al. 2021

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The present work proposes a Monte Carlo Simulation (MCS) to obtain availability projections for Hydroelectric Power Plants (HPP), based mainly on regulatory aspects involving the Availability Factor (AFA). The main purpose of the simulation is to generate scenarios to obtain statistics for risk analysis and decision-making in relation to the HPP. The proposed methodology consists of two steps, firstly, the optimization of the maintenance schedule of the hydroelectric plant is carried out, in order to allocate the mandatory maintenance in the simulation horizon. Then, for the MCS, scenarios of forced shutdowns of the Generating Units (GU) will be generated, which directly influence the operation and, consequently, the availability of the HPP. The scenarios will be inserted into an operation optimization model, which considers the impact of forced shutdown samples on the MCS. The proposed modeling was applied using real data from the Santo Antônio HPP, which is one of the largest hydroelectric plants in Brazil.

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Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework

et al. 2023

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A metropolitan area's water supply is imperative to the city's development. One of the main goals of the water supply utilities is to ensure the availability of water, as a lack of water would cause many social, political, or health problems. Therefore, water supply facilities must be in good condition, efficient preventive maintenance plans must be implemented, and the performance of the maintenance team monitored. In this paper, efficiency indices of Tehran water utility maintenance teams are investigated using different Data Envelopment Analysis (DEA) models. The final scores were then used as inputs to a Fuzzy Inference System (FIS) to assess the efficiency of these maintenance units. Two performance indicators based on DEA, "Availability efficiency" and "Repair time efficiency" are introduced for performance assessment. The Mean Time Between Failure (MTBF) and the Ready To Operate (RTO) are two desirable outputs that are considered in addition to one undesirable output: the Mean Time To Repair (MTTR). In addition, we suggest a new index named MRRW by combining the DEA efficiency with the RRW index. We introduce a novel approach based on DEA combined with FIS methods and the new factors for evaluating water supply maintenance systems, while most previous studies on measuring the efficiency of maintenance teams consider only limited aspects of performance measurement. Based on the results of our study, it became clear that the MRRW measures efficiency better than the traditional RRW measures. We present future improvement strategies based on the output of the FIS.

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Performance Evaluation of Hydro Generating Units Through the AHP Method

Cited by 4 publications

References 19 publications

Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil

Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil

Availability Projections of Hydroelectric Power Plants through Monte Carlo Simulation

Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework

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