Risk based allocation of distribution system maintenance resources

Yeddanapudi, Sree Rama Kumar

doi:10.31274/rtd-20201107-575

Cited by 5 publications

(7 citation statements)

References 20 publications

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“…Moreover, the customer damage function (CDF) due to non‐scheduled outages (

C D F^{N S}

) is considered the same as the CDF presented in Figure 5 [40]. Furthermore, it is assumed that the EDN customers are not paid by the system operator due to scheduled outages, that is,

C D F^{S} = 0

[29]. The electricity price for various customer types is reported in Table 1 [22].…”

Section: Simulation Resultsmentioning

confidence: 99%

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A probabilistic reliability‐centred maintenance approach for electrical distribution networks

Ardabili

Haghifam

Abedi

2020

IET Generation Trans & Dist

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Reliability improvement is a fundamental issue in electric distribution network (EDN) operation. In this regard, providing the most efficient maintenance policy can dramatically assist the electric utility companies in reducing the failure rate of EDN components. In the present study, a novel probabilistic reliability‐centred maintenance (RCM) approach is proposed in which the reliability level of the EDN components are evaluated according to the three‐state Markov model (MM). Using the MM, this study presents a trade‐off between the corrective maintenance and the preventive maintenance (PM) actions and finally determines the precedence of EDN components in PM financial resource allocation. Through the method presented in this study, the financial resources of the PM are economically allocated with regards to economic parameters such as customer outage costs and budget constraints. The efficacy of the proposed RCM approach is evaluated through the implementation of the RCM approach on bus number four of the well‐known Roy Billinton test system.

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“…Moreover, the customer damage function (CDF) due to non‐scheduled outages (

C D F^{N S}

) is considered the same as the CDF presented in Figure 5 [40]. Furthermore, it is assumed that the EDN customers are not paid by the system operator due to scheduled outages, that is,

C D F^{S} = 0

[29]. The electricity price for various customer types is reported in Table 1 [22].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The test system is the fourth bus of the well-known Roy Billinton test system (RBTS-BUS4), which is sketched in Figure 4 [40]. Furthermore, it is assumed that the EDN customers are not paid by the system operator due to scheduled outages, that is, CDF S = 0 [29]. The electricity price for various customer types is reported in Table 1 [22].…”

Section: Test Systemmentioning

confidence: 99%

A probabilistic reliability‐centred maintenance approach for electrical distribution networks

Ardabili

Haghifam

Abedi

2020

IET Generation Trans & Dist

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“…Since a set of resources should be arranged simultaneously for service delivery, it is essential to borrow qualitative or quantitative models to optimize resource preparation. Yeddanapudi et al 52 and Saygin and Tamma 43 develop strategies and principles for maintenance resource allocation. Manzini et al 23 establish a mixed integer linear programming model to schedule the preventive maintenance activities with cost, reliability and resource constraints.…”

Section: Psr Managementmentioning

confidence: 99%

Status review and research strategies on product-service supply chain

Elomri

Zhang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study draws a holistic view of the supply chain with three service strategies – namely, after-sales service; maintenance, repair and operations; and the product-service system – by analysing over 71 articles in this field. In this investigation, the content analysis is used to scrutinize the research to establish the knowledge, reveal the research opportunities and propose research strategies. The supply chain for product-service system depends more heavily on the implementation of the cooperation, collaboration and integration principles in operation. However, a complete analysis reveals that those crucial principles did not embody in current literature. Current research also failed to discuss the service operation decisions by modelling the intricate relations among them in a broad product-service supply chain context. Thus, the future research directions include developing service demand forecasting models; combining the time-series methods and the causal methods; establishing service resource planning models; addressing the relations between service deliverables, service capacity and the service resource; and strengthening the quantitative evaluation of the product-service supply chain performance with a systemic view. Moreover, by addressing the principles of cooperation, collaboration and integration, the added values of this review are the proposed research strategies for integrated forecasting of product services, integrated product-service resource allocation and scheduling, and systematic performance evaluation of the product-service supply chain. The findings and the proposed research strategies develop an in-depth understanding of product-service supply chain applications and serve as a basis for future research.

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“…This is called “risk-based resource allocation.” (Farrell et al, 2013). Different types of government agencies face risk-based resource allocation decisions: agricultural land and water resources (Romero, 2000; Wolgin, 1975; Li et al, 2016), system design in a Distributed Environment (Yeddanapudi et al, 2008; Qiu et al, 2008), terrorism (Willis, 2007; Quadrifoglio, 2008; Ray et al, 2009), and Natural Hazards (i.e., tornados, hurricanes, earthquakes) (Vaziri et al, 2010; Zolfaghari and Peyghaleh, 2015; Murphy and Gardoni, 2007; Vaziri, 2008). In the Risk-based resource allocation for the pandemic response, a demand point has one (or more) associated risk (i.e., geographic spread, routes of transmission, risk factors for infection, overall poverty, medical preconditions) and the objective is to choose the amount to be invested in several interventions which minimize the overall risk exposed by the demand points according to budget constraints and health benefits.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Risk-based Resource Allocation for Urban Pandemic Preparedness: The COVID-19 Case in Bogotá, Colombia

Prieto¹,

Gómez²

2021

Preprint

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Determining how best to allocate resources to be used during a pandemic is a strategic decision that directly affects the success of pandemic response operations. However, government agencies have finite resources, so they can’t monitor everything all of the time: they have to decide how best to allocate their scarce resources (i.e., budget for antivirals and preventive vaccinations, Intensive Care Unit (ICU), ventilators, non-intensive Care Unit (non-ICU), doctors) across a broad range of risk exposures (i.e., geographic spread, routes of transmission, overall poverty, medical preconditions). This paper establishes a comprehensive risk-based emergency management framework that could be used by decision-makers to determine how best to manage medical resources, as well as suggest patient allocation among hospitals and alternative healthcare facilities. A set of risk indexes are proposed by modeling the randomness and uncertainty of allocating resources in a pandemic. The city understudy is modeled as a Euclidean complex network, where depending on the neighborhood influence of allocating a resource in a demand point (i.e., informing citizens, limit social contact, allocate a new hospital) different network configurations are proposed. Finally, a multi-objective risk-based resource allocation (MoRRA) framework is proposed to optimize the allocation of resources in pandemics. The applicability of the framework is shown by the identification of high-risk areas where to prioritize the resource allocation during the current COVID-19 pandemic in Bogotá, Colombia.

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Risk based allocation of distribution system maintenance resources

Cited by 5 publications

References 20 publications

A probabilistic reliability‐centred maintenance approach for electrical distribution networks

A probabilistic reliability‐centred maintenance approach for electrical distribution networks

Status review and research strategies on product-service supply chain

Multi-objective Risk-based Resource Allocation for Urban Pandemic Preparedness: The COVID-19 Case in Bogotá, Colombia

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