Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-7943-5.ch008
C. Parra, Giovanny Tino, J. Parra, P. Viveros, F. Kristjanpoller
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).
{"title":"Criticality Analysis Techniques Applied to Optimize Maintenance Management Processes","authors":"C. Parra, Giovanny Tino, J. Parra, P. Viveros, F. Kristjanpoller","doi":"10.4018/978-1-7998-7943-5.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-7943-5.ch008","url":null,"abstract":"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).","PeriodicalId":174336,"journal":{"name":"Cases on Optimizing the Asset Management Process","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114200343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-7943-5.ch005
A. Castillo, M. Macchi, L. Cattaneo
The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.
{"title":"Digital Twin-Driven Condition-Based Maintenance","authors":"A. Castillo, M. Macchi, L. Cattaneo","doi":"10.4018/978-1-7998-7943-5.ch005","DOIUrl":"https://doi.org/10.4018/978-1-7998-7943-5.ch005","url":null,"abstract":"The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.","PeriodicalId":174336,"journal":{"name":"Cases on Optimizing the Asset Management Process","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120947262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-7943-5.ch009
J. Andrews
Railway infrastructure comprises a large collection of diverse and complex systems and structures. Many of them are aging assets and require a significant budget to deliver the maintenance to ensure the required safety and service performance standards. With such a large amount of money spent each year to maintain and renew the network assets, small percentage savings can amount to substantial sums of money. There is therefore a huge incentive to better understand the degradation that assets experience and how these can be effectively managed through the implementation of efficient maintenance strategies. Track and bridges are the most expensive assets to keep in the required condition, and this chapter provides a method to analyse their degradation and build Petri net models to predict the future state of the asset, the number of each maintenance activity which are expected to be undertaken, and their costs experienced by following a particular strategy. Utilising these models enables the quality of the asset management decisions made to be improved and optimised.
{"title":"Railway Infrastructure Asset Management Modelling","authors":"J. Andrews","doi":"10.4018/978-1-7998-7943-5.ch009","DOIUrl":"https://doi.org/10.4018/978-1-7998-7943-5.ch009","url":null,"abstract":"Railway infrastructure comprises a large collection of diverse and complex systems and structures. Many of them are aging assets and require a significant budget to deliver the maintenance to ensure the required safety and service performance standards. With such a large amount of money spent each year to maintain and renew the network assets, small percentage savings can amount to substantial sums of money. There is therefore a huge incentive to better understand the degradation that assets experience and how these can be effectively managed through the implementation of efficient maintenance strategies. Track and bridges are the most expensive assets to keep in the required condition, and this chapter provides a method to analyse their degradation and build Petri net models to predict the future state of the asset, the number of each maintenance activity which are expected to be undertaken, and their costs experienced by following a particular strategy. Utilising these models enables the quality of the asset management decisions made to be improved and optimised.","PeriodicalId":174336,"journal":{"name":"Cases on Optimizing the Asset Management Process","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133923685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.4018/978-1-7998-7943-5.ch002
Sayan Mercan Dursun, Meltem Mutluturk, Nazim Taskin, B. Metin
Effective information asset management is the basis of information security as well as many other issues. IT risk assessments work well with the proper handling of asset values, and also it is for effectively securing information assets. There is also a wide variety of risk assessment methodologies. This chapter presents information about the overall IT risk management process and methodologies. Best practices are mentioned and occasionally compared based on the requirements of the information technology (IT) sector in practice. This chapter will provide deep knowledge about the IT risk management approach and construction to implementers, risk owners, IT auditors, executive managers, and other IT staff.
{"title":"An Overview of the IT Risk Management Methodologies for Securing Information Assets","authors":"Sayan Mercan Dursun, Meltem Mutluturk, Nazim Taskin, B. Metin","doi":"10.4018/978-1-7998-7943-5.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-7943-5.ch002","url":null,"abstract":"Effective information asset management is the basis of information security as well as many other issues. IT risk assessments work well with the proper handling of asset values, and also it is for effectively securing information assets. There is also a wide variety of risk assessment methodologies. This chapter presents information about the overall IT risk management process and methodologies. Best practices are mentioned and occasionally compared based on the requirements of the information technology (IT) sector in practice. This chapter will provide deep knowledge about the IT risk management approach and construction to implementers, risk owners, IT auditors, executive managers, and other IT staff.","PeriodicalId":174336,"journal":{"name":"Cases on Optimizing the Asset Management Process","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121322673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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