Recursive Operability Analysis as a decision support tool for Risk-Based Maintenance

Marmo, Luca; Crivelletto, Vinicio; Starace, Alessandro

doi:10.1016/j.jlp.2009.02.011

Cited by 7 publications

(3 citation statements)

References 19 publications

(23 reference statements)

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“…Once all these preliminary tasks are accomplished, the core part of the method is the execution of the Recursive Operability Analysis (Plus), which consists of the computation of the table represented by the standard format, shown in Table 3. This table is substantially equal to the ROA-CCD table [17,18], which is a more complex version with respect to the classic ROA table [13,16,29]. It can be noticed that Column 1 (Node Deviation Variable), basically condenses the 3 elements of the classic HazOp scheme in a single one, including the plant node, the physical variable, and the deviation type.…”

Section: Methodsmentioning

confidence: 99%

Application of an Enhanced Version of Recursive Operability Analysis for Combustible Dusts Risk Assessment

Barozzi

Copelli

Scotton

et al. 2020

IJERPH

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Organic dust explosions were and are still today a critical issue in the food, pharmaceutical, and fine chemical industry. Materials such as flour, corn starch, sugar and APIs represent a cause of severe accidents. In this framework, we investigated a modified version of Recursive Operability Analysis−Incidental Sequence Diagrams (ROA–ISD), called ROA Plus−ISD, specifically tailored to describe industrial processes involving organic combustible dusts. Compared to more classical techniques such as Hazard and Operability (HazOp), ROA−ISD allows for a direct generation of fault trees, providing a useful tool to connect Qualitative with Quantitative Risk Analysis (QRA). ROA Plus−ISD is very similar to ROA−Cause Consequence Diagrams (CCD), which has already proven to be an effective tool to perform both risk assessment on existing plants and reconstructing already occurred accidents, given its logical structure and width of the application fields. In this work, we modified specific parts of the standard ROA−CCD method: (1) the Failure Mode and Operability Analysis (FMEA) database has been structured in order to retrieve the well-known explosion pentagon (for dusts) and all the instruments, devices, apparatuses and controllers typical of industries which process organic dusts; (2) a new comprehensive list of process variables has been compiled. In this way, it is possible to tailor the information required for the generation of the fault trees concerning top events involving mainly dust explosions and fires. This method has been implemented in order to reconstruct the dynamics of the February 2008 Imperial Sugar refinery plant accident (Port Wentworth, GA, USA). Results demonstrated the applicability of the enhanced method by highlighting the criticalities of the process already showed by a previously detailed reconstruction performed by the Chemical Safety Board.

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Section: Methodsmentioning

confidence: 99%

Application of an Enhanced Version of Recursive Operability Analysis for Combustible Dusts Risk Assessment

Barozzi

Copelli

Scotton

et al. 2020

IJERPH

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“…Risks were calculated as a function of the failure probability and through a fault tree technique. Marmo et al (2009) developed a procedure consisting of a risk-based approach to optimize maintenance scheduling.…”

Section: Me Approachesmentioning

confidence: 99%

Investigating the impact of social sustainability within maintenance operations

Savino

Macchi

Mazza

2015

Journal of Quality in Maintenance Engineering

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Purpose – The purpose of this paper is to primarily focus on labor in maintenance areas, addressing human rights issues, labor standards and safety standards. The main issue is to investigate how these factors are considered to drive the prioritization of maintenance interventions within maintenance plans. In particular, a method for criticality analysis of production equipment is proposed considering specific labor issues like age and gender, which can be useful to steer maintenance plans toward a more social perspective. Design/methodology/approach – The authors focus on the two main social issues of SA 8000 norms, age and gender, exploring how these issues may drive the selection of maintenance policies and the relative maintenance plans. The research is conducted through fuzzy analytical hierarchy process (AHP) implemented within a failure mode effects analysis (FMEA). Findings – The research is conducted through fuzzy AHP implemented within a FMEA. The maintenance plans resulting from the FMEA driven by social issues are evaluated by a benchmark of three different scenarios. The results obtained allowed the firm to evaluate maintenance plans, considering the impact on workers’ health and safety, the environment, social issues like gender and age. Research limitations/implications – One of the main limitation of this research is that it should also encompass maintenance costs under social and safety perspective. The method developed should be extended by further study of maintenance planning decisions subject to budget constraints. Moreover, it would be worth evaluating the effect of adopting more proactive maintenance policies aimed at improving plant maintainability in view of what emerged during the test case in the presence of an aged workforce and the subsequent need to prevent and/or protect people from hidden risks. Practical implications – With reference to the results obtained from the two models of this scenario, the authors observed an increase of equipment criticality, from B class to the A class, and similarly from C class to B class. No equipment has reduced its criticality. This depends on the particular context and the relative weights of drivers indicated in its AHP matrixes. Social implications – The paper addressed the main social implication as well as other social issues represented by age and gender factors, which are normally neglected. The Action Research (AR) proved the effects resulted from considering either gender factor or gender and age factors at the same time for maintenance policy selection. All in all, an increase of criticality is evident even if “people” is a driver with less importance than “environment” and “structures.” Originality/value – The present work focussed on a new definition of a criticality ranking model to assign a maintenance policy to each component based on workers’ know-how and on their status. The approach is conceived by the application of a fuzzy logic structure and AHP to overcome uncertainties, which can rise during a decision process when there is a need to evaluate many criteria, ranging from economic to environmental and social dimensions.

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“…The problem is that it depends on data accuracy which is not always collectable at the required level of precision (Apeland and Aven, 2000). To extract more efficiency from the large amount of operating data and reduce waste of resources in standby components, more sophisticated methodologies have been developed for maintaining performance of processes that are sensitive to variations (Marmo et al, 2009). The key to these studies is the recognition of continuously monitored performance metrics that provide the basis for modern day reliability decisions.…”

Section: Performance Monitoring and Reliability Predictionmentioning

confidence: 99%

Services and Support Supply Chain Design for Complex Engineering Systems

Mo¹

2011

Supply Chain Management

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Recursive Operability Analysis as a decision support tool for Risk-Based Maintenance

Cited by 7 publications

References 19 publications

Application of an Enhanced Version of Recursive Operability Analysis for Combustible Dusts Risk Assessment

Application of an Enhanced Version of Recursive Operability Analysis for Combustible Dusts Risk Assessment

Investigating the impact of social sustainability within maintenance operations

Services and Support Supply Chain Design for Complex Engineering Systems

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