Criticality Analysis Techniques Applied to Optimize Maintenance Management Processes

2022 ◽  
pp. 180-207
Author(s):  
Carlos Parra ◽  
Giovanny Tino ◽  
Jorge A. Parra ◽  
Pablo Viveros ◽  
Fredy A. Kristjanpoller
Keyword(s):  
Risk Model ◽  
Production Systems ◽  
Maintenance Management ◽  
Oil Refining ◽  
Analytic Hierarchy ◽  
Analysis Techniques ◽  
First Case ◽  
Management Processes ◽  
Potential Failure ◽  
Criticality Analysis

The techniques of criticality analysis are tools that allow identifying and hierarchy for their importance the assets of an installation on which it is worth directing resources (human, economic, and technological). In other words, the process of criticality analysis helps determine the importance and consequences of potential failure events of production systems within the operational context in which they perform. Taking as reference the maintenance management model (MMM) of the eight phases, this chapter related to techniques of prioritization and criticality is part of Phase 2 of the MMM. In the following chapter, the most important theoretical aspects of equipment hierarchical analysis techniques are explained, based on the qualitative and quantitative risk model (failures frequencies and consequences). Finally, two case studies in the oil refining industry are developed; the first case uses the tool qualitative risk matrix (QRM), and the second case uses the tool risk analytic hierarchy process (RAHP).

scholarly journals Assessment of the Logistic System of Fuel Life Cycle Using the LCA Method

2016 ◽  
Vol 20 (3) ◽  
pp. 125-134
Author(s):  
Aleksander Marek ◽  
Piotr Kardasz ◽  
Mikolaj Karpinski ◽  
Volodymyr Pohrebennyk
Keyword(s):  
Life Cycle ◽  
Rapeseed Oil ◽  
Functional Unit ◽  
Operation Time ◽  
Diesel Oil ◽  
Butyl Alcohol ◽  
Oil Refining ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Management Processes

AbstractThis paper presents the logistic system of fuel life cycle, covering diesel oil and the mixture of rapeseed oil and butanol (2:3 ratio), using the Life-Cycle Assessment (LCA) method. This method is a technique in the field of management processes with a view to assessing the potential environmental hazards. Our intention was to compare the energy consumption needed to produce each of the test fuels and emissions of selected substances generated during ithe production process. The study involved 10,000 liters of diesel and the same amount of rapeseed oil and butanol mixture (2:3 ratio). On the basis of measurements the following results were obtained. To produce a functional unit of diesel oil (i.e. 10,000 liters) it is necessary to extract 58.8 m3 of crude oil. The entire life cycle covering the consumption of 10,000 liters of diesel consumes 475.668 GJ of energy and causes the emission to air of the following substances: 235.376 kg of COx, 944.921 kg of NOx, 83.287 kg of SOx. In the ease of a functional unit, to produce a mixture of rapeseed oil and butanol (2:3 ratio) 10,000 kg of rapeseed and 20,350 kg of straw should be used. The entire life cycle of 10,000 liters of a mixture of rapeseed oil and butyl alcohol (2:3 ratio) absorbs 370.616 GJ of energy, while emitting the following air pollutants: 105.14832 kg of COx, 920.03124 kg of NOx, 0.162 kg of SOx. Analysis of the results leads to the conclusion that it is oil refining which is the most energy-intensive and polluting process in the life cycle of diesel. The process consumes 41.4 GJ of energy, and causes a significant emission of sulfur oxides (50 kg). In the production of fuel that is a mixture of rapeseed oil and butyl alcohol (2:3 ratio), rape production is the most energy-intensive manufacturing process is (absorbs 53.856 GJ of energy). This is due to the long operation time of the farm tractor and combine harvester. The operation of these machines leads also to the emission of a significant amount of pollution in the form of COx (2.664 kg) and NOx (23.31 kg).

scholarly journals Aplicación de herramientas de clase mundial para la gestión de mantenimiento en empresas cementeras basado en la metodología MCC

Respuestas ◽  
2016 ◽  
Vol 21 (1) ◽  
pp. 77 ◽  
Author(s):  
Jessica Yajaira Uzcátegui-Gutiérrez ◽  
Andrónico Varela-Cárdenas ◽  
Juan Isidro Díaz-García
Keyword(s):  
Failure Modes ◽  
Maintenance Management ◽  
Management Tools ◽  
Basic Principles ◽  
Root Cause ◽  
Reliability Centered Maintenance ◽  
Palabras Clave ◽  
World Class ◽  
Data Collection Technique ◽  
Criticality Analysis

Antecedentes: La categoría de clase mundial en mantenimiento se apoya en metodologías como el Mantenimiento Centrado en Confiabilidad (MCC), la cual ayuda a determinar acciones concretas de mantenimiento, identificando fallas y procedimientos de corrección de las mismas. Objetivos: En este trabajo se planteó el diseño de un marco referencial para la aplicación de herramientas para la gestión mantenimiento de empresas cementeras, aplicando la metodología del MCC. Metodología: Se desarrolló una investigación de tipo descriptiva y de campo, en la cual se consideró como unidad de análisis la Fábrica Nacional de Cemento, Planta Táchira en Venezuela. A tal efecto, la técnica de recolección de datos constató indicios escritos y el instrumento seleccionado fue una matriz de categorías. Resultado: Se diagnosticó que la gestión de mantenimiento en la empresa no considera los principios básicos de la confiabilidad de los activos. Conclusiones: Se identificaron las etapas de aplicación de las herramientas de confiabilidad: análisis de criticidad, análisis de modos y efectos de fallas, y análisis de causa - raíz, a través del cumplimiento de tres fases contentivas en un sistema que involucra insumos, procesos y resultados en cada fase; para finalmente indicar las pautas a seguir en la aplicación de las mencionadas herramientas.Abstract Background: The category of world class maintenance is based on methodologies such as Reliability Centered Maintenance, which helps to determine speciic maintenance actions, identifying fails and the procedures for ixing them. Objectives: In this work the design of a framework was proposed to implement management tools for maintenance of cement companies, applying the methodology of the MCC. Method: A descriptive and ield research was developed, in which it was considered as a unit of analysis the National Cement Factory, Plant Tachira in Venezuela. To do this, the data collection technique veriied written evidence and an array of categories was the selected instrument. Result: It was diagnosed that the maintenance management in the company does not consider the basic principles of asset reliability. Conclusions: The stages of application of the tools of reliability were identiied: criticality analysis, analysis of failure modes and effects, and root cause analysis, through compliance three contentive phases in a system involving inputs, processes and results in each phase; to i nally indicate the guidelines in the application of the above-mentioned tools. Palabras Clave: cementera, coniabilidad, herramientas del MCC, Mantenimiento. 

An Evaluation of a Test-Driven Security Risk Analysis Approach Based on Two Industrial Case Studies

2019 ◽  
pp. 69-103 ◽  
Author(s):  
Gencer Erdogan ◽  
Phu H. Nguyen ◽  
Fredrik Seehusen ◽  
Ketil Stølen ◽  
Jon Hofstad ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Case Studies ◽  
Risk Model ◽  
Case Study Research ◽  
Security Risk ◽  
Risk Models ◽  
First Case ◽  
Assessment Approach ◽  
Security Risk Assessment

Risk-driven testing and test-driven risk assessment are two strongly related approaches, though the latter is less explored. This chapter presents an evaluation of a test-driven security risk assessment approach to assess how useful testing is for validating and correcting security risk models. Based on the guidelines for case study research, two industrial case studies were analyzed: a multilingual financial web application and a mobile financial application. In both case studies, the testing yielded new information, which was not found in the risk assessment phase. In the first case study, new vulnerabilities were found that resulted in an update of the likelihood values of threat scenarios and risks in the risk model. New vulnerabilities were also identified and added to the risk model in the second case study. These updates led to more accurate risk models, which indicate that the testing was indeed useful for validating and correcting the risk models.

Assessing the Usefulness of Testing for Validating and Correcting Security Risk Models Based on Two Industrial Case Studies

2016 ◽  
pp. 1016-1037
Author(s):  
Gencer Erdogan ◽  
Fredrik Seehusen ◽  
Ketil Stølen ◽  
Jon Hofstad ◽  
Jan Øyvind Aagedal
Keyword(s):  
Risk Assessment ◽  
Case Studies ◽  
Web Application ◽  
Risk Model ◽  
Security Risk ◽  
Risk Models ◽  
First Case ◽  
New Information ◽  
Financial Application

The authors present the results of an evaluation in which the objective was to assess how useful testing is for validating and correcting security risk models. The evaluation is based on two industrial case studies. In the first case study the authors analyzed a multilingual financial Web application, while in the second case study they analyzed a mobile financial application. In both case studies, the testing yielded new information which was not found in the risk assessment phase. In particular, in the first case study, new vulnerabilities were found which resulted in an update of the likelihood values of threat scenarios and risks in the risk model. New vulnerabilities were also identified and added to the risk model in the second case study. These updates led to more accurate risk models, which indicate that the testing was indeed useful for validating and correcting the risk models.

scholarly journals The Grey Clustering Analysis for Photovoltaic Equipment Importance Classification

2017 ◽  
Vol 6 (2) ◽  
pp. 47
Author(s):  
Hongjiu LIU ◽  
Qin ZHANG
Keyword(s):  
Clustering Analysis ◽  
Maintenance Management ◽  
Analysis Model ◽  
Reliable Operation ◽  
Power Station ◽  
Analytic Hierarchy ◽  
Operation And Maintenance ◽  
Grey Clustering ◽  
Judgment Matrix ◽  
Hierarchy Process

The evaluation of equipment importance is an important part of the operation and maintenance management and its purpose is to identify the key equipment which has important influence on the reliable operation of the power station. On the basis of grey clustering theory, the paper firstly establishes the analysis model of photovoltaic (pv) power station equipment importance and the weights of factors in the target hierarchy is solved by using the judgment matrix in analytic hierarchy process. Secondly, according to the whitenization weight function of the grey clustering, pv equipment is classified into three types: key equipment, vital equipment and general equipment, which lays the foundation for the equipment maintenance strategy choice. Finally, an application example verifies the practicality and scientificity of the proposed method.

An Evaluation of the Semi-Coupled Scheme for the Analysis of Floating Production Systems

2014 ◽  
Author(s):  
Aldo Roberto Cruces Girón ◽  
Fabrício Nogueira Corrêa ◽  
Breno Pinheiro Jacob
Keyword(s):  
Deep Water ◽  
Production Systems ◽  
Computational Cost ◽  
The Other ◽  
Coupled Analysis ◽  
Computational Costs ◽  
Analysis Techniques ◽  
Early Design Stages ◽  
Accuracy Of Results ◽  
Low Computational Cost

Analysis techniques and numerical formulations are available in a variety for mooring and riser designers. They are applied in the different stages of the design processes of floating production systems (FPS) by taking advantage of both the accuracy of results and the computational costs. In early design stages, the low computational cost is more valued with the aim of obtaining fast results and taking decisions. So in these stages it is common to use uncoupled analysis. On the other hand, in more advanced design stages, the accuracy of results is more valued, for which the use of coupled analysis is adequate. However, it can lead to excessive computing times. To overcome such high computational costs, new formulations have been proposed with the aim of obtaining results similar to a coupled analysis, but with low computational costs. One of these formulations is referred as the semi-coupled scheme (S-C). Its main characteristic is that it combines the advantages of uncoupled and coupled analysis techniques. In this way, analyses can be performed with very fast execution times and results are superior to those obtained by the classical uncoupled analysis. This work presents an evaluation of the S-C scheme. The evaluation is made by comparing their results with the results of coupled analyses. Both type of analysis were applied in a representative deep water platform. The results show that the S-C scheme have the potentially to provide results with appropriate precision with very low computational times. In this way, the S-C scheme represents an attractive procedure to be applied in early and intermediate stages of the design process of FPS.

Improving reliability in critical healthcare sector using FAMECA methodology

BMJ Leader ◽  
2017 ◽  
Vol 1 (4) ◽  
pp. 50-56
Author(s):  
Polinpapilinho Freeman Katina ◽  
Nina C Magpili-Smith
Keyword(s):  
Failure Modes ◽  
Methodological Approach ◽  
Well Being ◽  
Healthcare Systems ◽  
Healthcare Sector ◽  
Critical Infrastructures ◽  
Goods And Services ◽  
Mode Effects ◽  
Potential Failure ◽  
Criticality Analysis

BackgroundHealthcare systems are critical to the well-being of the society. In such a setting, the ability of the system to perform its intended mission/function during the designed period of time (ie, reliability) is essential. However, there remains a scarcity of literature, suggesting how the concept of reliability can be addressed in the context of critical healthcare infrastructure systems.MethodsWe recognise the importance of healthcare in the context of critical infrastructures. These systems produce goods and services essential for maintaining and sustaining public well-being. We suggest the use of failure mode, effects and criticality analysis (FAMECA) approach to increase reliability in critical healthcare systems. Phases of FAMECA are described.ResultsAfter reviewing the application of FAMECA and describing its basics, authors describe critical healthcare sector in terms of components, organisations, management and non-healthcare interdependent systems. The resulting application indicates applicability of the approach and articulates failure modes, effects and development of possible solutions to such modes and effects to increase reliability. The presented application, however, is very general and specific case applications are needed.ConclusionsA decision to suggest the FAMECA as a methodological approach in critical healthcare systems is pivotal to improving systems reliability and enhances the ability of the system to meet its intended missions during the designed period of time. The utility of FAMECA is found in its ability to identify potential failure modes, their effects and suggesting remedial efforts, including tools and technologies to address failure modes and their effects.

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