Pub Date : 2022-04-03DOI: 10.1080/09617353.2022.2107255
Peter Okoh, H. Dong, Yiliu Liu
Abstract Several sectors, e.g. process, railway, etc., have set their functional safety standards based on the generic IEC 61508. Yet, a product that is originally developed based on IEC 61508 is not automatically accepted for use in specific industries. Therefore, companies that are keen on selling safety products across sectors are faced with the challenge of satisfying the requirements sector by sector, thus incurring more cost and time to market. Cross-acceptance across industries is expected to solve this problem. However, an approach with a quantitative focus (e.g. in relation to SIL) has yet to be identified and validated. Demonstrating consistency and compatibility between cross-domain standards in relation to system safety is necessary for harmonising safety integrity claims. This paper applies the relationship between PFDavg and THR to cross-acceptance, establishing SIL equivalence as a basis for cross-acceptance, supporting this with data prioritisation and recommending it together with architectural constraints, systematic capability, the original safety case, a supplementary safety case (accounting for differences between the original and target standards provisions), and the original safety manuals (for COTS components and the whole system) as a framework for achieving both IEC 61508 (generic) and EN 50129 (railway) certification for a fire detection system.
{"title":"Cross-acceptance of fire safety systems based on SIL equivalence in relation to IEC 61508 and EN 50129","authors":"Peter Okoh, H. Dong, Yiliu Liu","doi":"10.1080/09617353.2022.2107255","DOIUrl":"https://doi.org/10.1080/09617353.2022.2107255","url":null,"abstract":"Abstract Several sectors, e.g. process, railway, etc., have set their functional safety standards based on the generic IEC 61508. Yet, a product that is originally developed based on IEC 61508 is not automatically accepted for use in specific industries. Therefore, companies that are keen on selling safety products across sectors are faced with the challenge of satisfying the requirements sector by sector, thus incurring more cost and time to market. Cross-acceptance across industries is expected to solve this problem. However, an approach with a quantitative focus (e.g. in relation to SIL) has yet to be identified and validated. Demonstrating consistency and compatibility between cross-domain standards in relation to system safety is necessary for harmonising safety integrity claims. This paper applies the relationship between PFDavg and THR to cross-acceptance, establishing SIL equivalence as a basis for cross-acceptance, supporting this with data prioritisation and recommending it together with architectural constraints, systematic capability, the original safety case, a supplementary safety case (accounting for differences between the original and target standards provisions), and the original safety manuals (for COTS components and the whole system) as a framework for achieving both IEC 61508 (generic) and EN 50129 (railway) certification for a fire detection system.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80029990","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 : 2022-04-03DOI: 10.1080/09617353.2022.2107254
Karan Sotoodeh
Abstract Valve systems are essential components in piping systems in a variety of industries, including oil and gas to stop and start the flow of fluid, regulate and control fluids, prevent backflows, and provide safety. The safety and reliability of industrial valves is an increasingly critical issue that has been addressed in previous studies. In case of valve failure due to mechanical failure, material corrosion, poor manufacturing and testing, there can be negative consequences including loss of assets, leakage into the environment, and other issues. The objective of this study is to develop a method for measuring the safety and reliability of safety critical butterfly valves by combining safety integrity level (SIL) and failure mode and effect analysis (FMEA). On the basis of operational data, butterfly valve failure rates are estimated. Safe failure fraction (SFF) are calculated at approximately 89% for the valves and converted into SIL2 that meets the end-user requirements.
{"title":"Safety and reliability analysis for butterfly valves in the offshore oil and gas industry","authors":"Karan Sotoodeh","doi":"10.1080/09617353.2022.2107254","DOIUrl":"https://doi.org/10.1080/09617353.2022.2107254","url":null,"abstract":"Abstract Valve systems are essential components in piping systems in a variety of industries, including oil and gas to stop and start the flow of fluid, regulate and control fluids, prevent backflows, and provide safety. The safety and reliability of industrial valves is an increasingly critical issue that has been addressed in previous studies. In case of valve failure due to mechanical failure, material corrosion, poor manufacturing and testing, there can be negative consequences including loss of assets, leakage into the environment, and other issues. The objective of this study is to develop a method for measuring the safety and reliability of safety critical butterfly valves by combining safety integrity level (SIL) and failure mode and effect analysis (FMEA). On the basis of operational data, butterfly valve failure rates are estimated. Safe failure fraction (SFF) are calculated at approximately 89% for the valves and converted into SIL2 that meets the end-user requirements.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87280528","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 : 2022-04-01DOI: 10.1142/s0218539321500492
Shin-Guang Chen
A new research area namely, precision business management, is quietly blooming through network theory. In precision business management, several new management tools can be developed to precisely adjust the behavior of the entities in the company to satisfy the management requirement. This paper deals with the situation when specific business process pattern should be recognized, and the related entities in the process have to be identified. It is referred to a kind of covering problem in network reliability. Minimal path set can be considered as a set of flow combinations. However, in some cases, a subset of the flow combination may be required for applications. Therefore, techniques for dealing such cases are needed. This paper proposes a heuristic approach to solve the covering problem in network reliability. Some numerical examples are presented for explanation. The results show that the cases are interesting in the discussion.
{"title":"Study on the Covering Problem in Network Reliability for Precision Business Management","authors":"Shin-Guang Chen","doi":"10.1142/s0218539321500492","DOIUrl":"https://doi.org/10.1142/s0218539321500492","url":null,"abstract":"A new research area namely, precision business management, is quietly blooming through network theory. In precision business management, several new management tools can be developed to precisely adjust the behavior of the entities in the company to satisfy the management requirement. This paper deals with the situation when specific business process pattern should be recognized, and the related entities in the process have to be identified. It is referred to a kind of covering problem in network reliability. Minimal path set can be considered as a set of flow combinations. However, in some cases, a subset of the flow combination may be required for applications. Therefore, techniques for dealing such cases are needed. This paper proposes a heuristic approach to solve the covering problem in network reliability. Some numerical examples are presented for explanation. The results show that the cases are interesting in the discussion.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78596387","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 : 2022-02-09DOI: 10.1142/s0218539321500479
V. V. Singh, Abdulkareem Lado Ismail, Umesh Chand, Sudhansu S. Maiti
This paper is the stochastic analysis of a complex repairable system comprising of subsystems in a series arrangement under the [Formula: see text]-out-of-[Formula: see text]: [Formula: see text] type configuration. Both of the subsystems are in series arrangement and having auto transfer switches when some unit fails. Subsystem 1 is supposed to work under the [Formula: see text]-out-of-[Formula: see text]: [Formula: see text], scheme, and subsystem 2 which has four indistinguishable units in parallel arrangement with an auto switch functioning under the 1-out-of-4: [Formula: see text] scheme. A catastrophic failure is characterized as causing damage to the entire system. Units’ failure, switch failures, and catastrophic failure rates are constant, but repair rates are treated as variables with two types of distributions: general distribution and copula distribution. The model is analyzed using a supplementary variables approach, with probabilistic measures such as availability, reliability, MTSF, and profit functions derived.
{"title":"Performance Assessment of Complex System Under the k-out-of-n: G Type Configuration with k Consecutive Degraded States through the Copula Repair Approach","authors":"V. V. Singh, Abdulkareem Lado Ismail, Umesh Chand, Sudhansu S. Maiti","doi":"10.1142/s0218539321500479","DOIUrl":"https://doi.org/10.1142/s0218539321500479","url":null,"abstract":"This paper is the stochastic analysis of a complex repairable system comprising of subsystems in a series arrangement under the [Formula: see text]-out-of-[Formula: see text]: [Formula: see text] type configuration. Both of the subsystems are in series arrangement and having auto transfer switches when some unit fails. Subsystem 1 is supposed to work under the [Formula: see text]-out-of-[Formula: see text]: [Formula: see text], scheme, and subsystem 2 which has four indistinguishable units in parallel arrangement with an auto switch functioning under the 1-out-of-4: [Formula: see text] scheme. A catastrophic failure is characterized as causing damage to the entire system. Units’ failure, switch failures, and catastrophic failure rates are constant, but repair rates are treated as variables with two types of distributions: general distribution and copula distribution. The model is analyzed using a supplementary variables approach, with probabilistic measures such as availability, reliability, MTSF, and profit functions derived.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83033215","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 : 2022-01-02DOI: 10.1080/09617353.2022.2028438
P. Davies
Abstract The urgency to decarbonise shipping is such that the industry will develop hydrogen and ammonia fuelled ships whether or not prescriptive regulations are available. This will require specialist risk assessment or alternative approaches. One alternative is to investigate the application of Inherently Safer Design principles coupled with existing risk assessment practices.
{"title":"Acceptance of hydrogen and ammonia as fuel for ships: inherently safer design","authors":"P. Davies","doi":"10.1080/09617353.2022.2028438","DOIUrl":"https://doi.org/10.1080/09617353.2022.2028438","url":null,"abstract":"Abstract The urgency to decarbonise shipping is such that the industry will develop hydrogen and ammonia fuelled ships whether or not prescriptive regulations are available. This will require specialist risk assessment or alternative approaches. One alternative is to investigate the application of Inherently Safer Design principles coupled with existing risk assessment practices.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82233416","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 : 2022-01-02DOI: 10.1080/09617353.2022.2051140
Neda Gorjian Jolfaei, R. Rameezdeen, Nima Gorjian, Bo Jin, C. Chow
Abstract Failure prognostics and health management are central to the Remaining Useful Life (RUL) estimation of critical engineering assets, particularly to improve safety, reduce downtimes and maintenance expenditures. Over recent years, several prognostic approaches have been developed to predict remaining asset lifetime, optimise maintenance schedules, and enhance equipment availability and reliability. While academic research in this area has grown rapidly, implementations of these methods by industry’s asset managers and reliability experts have only had limited success. Yet asset lifetime and reliability analysis are only restricted to the conventional reliability-centred maintenance and total productive maintenance approaches in industries. The purpose of this paper is to emphasise a need for a paradigm shift in industrial asset health management from the conventional to modern approaches that would benefit industries. At first, this paper classifies existing prognostic techniques into the traditional reliability, model-based, and data-driven approaches. Each prognostic approach is then analytically discussed with emphasis on models and algorithms. Consequently, this paper explores the strengths and weaknesses of main models in these groups to assist industry practitioners to select an appropriate prognostic model for RUL prediction within their specific business environment. Finally, the paper concludes with a brief discussion on possible future trends and further research directions in this field.
{"title":"Prognostic modelling for industrial asset health management","authors":"Neda Gorjian Jolfaei, R. Rameezdeen, Nima Gorjian, Bo Jin, C. Chow","doi":"10.1080/09617353.2022.2051140","DOIUrl":"https://doi.org/10.1080/09617353.2022.2051140","url":null,"abstract":"Abstract Failure prognostics and health management are central to the Remaining Useful Life (RUL) estimation of critical engineering assets, particularly to improve safety, reduce downtimes and maintenance expenditures. Over recent years, several prognostic approaches have been developed to predict remaining asset lifetime, optimise maintenance schedules, and enhance equipment availability and reliability. While academic research in this area has grown rapidly, implementations of these methods by industry’s asset managers and reliability experts have only had limited success. Yet asset lifetime and reliability analysis are only restricted to the conventional reliability-centred maintenance and total productive maintenance approaches in industries. The purpose of this paper is to emphasise a need for a paradigm shift in industrial asset health management from the conventional to modern approaches that would benefit industries. At first, this paper classifies existing prognostic techniques into the traditional reliability, model-based, and data-driven approaches. Each prognostic approach is then analytically discussed with emphasis on models and algorithms. Consequently, this paper explores the strengths and weaknesses of main models in these groups to assist industry practitioners to select an appropriate prognostic model for RUL prediction within their specific business environment. Finally, the paper concludes with a brief discussion on possible future trends and further research directions in this field.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86078386","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 : 2022-01-02DOI: 10.1080/09617353.2022.2035627
My Thi Diem Ta, Tae-eun Kim, A. Gausdal
Abstract The importance of leadership on safety has been well acknowledged and studied for many years in various high-risk industries. This paper aims at (1) synthesising the existing safety leadership research by performing a systematic literature review to gain an overview of the relationship between various leadership styles and safety performance in high-risk industries with a main focus on health and workplace safety and (2) analysing and comparing the major results from the reviewed studies. The results show that nine leadership styles – transformational leadership, transactional leadership, leader–member exchange, authentic leadership, empowering leadership, ethical leadership, paternalistic leadership, charismatic leadership and passive leadership – have been frequently used in the development and validation of safety leadership theories as well as in understanding the leadership influence towards safety climate, safety compliance and safety participation in various contexts. However, blurred boundaries among the constructs of leadership styles alongside inconsistency in the conceptualisation and measurement of safety performance hinder the advancement of understanding safety leadership’s influence on safety performance. It is therefore of importance that further research develops consistent measurement instruments and conceptualisation and that systems thinking is applied to the study of leadership styles’ influence on safety performance.
{"title":"Leadership styles and safety performance in high-risk industries: a systematic review","authors":"My Thi Diem Ta, Tae-eun Kim, A. Gausdal","doi":"10.1080/09617353.2022.2035627","DOIUrl":"https://doi.org/10.1080/09617353.2022.2035627","url":null,"abstract":"Abstract The importance of leadership on safety has been well acknowledged and studied for many years in various high-risk industries. This paper aims at (1) synthesising the existing safety leadership research by performing a systematic literature review to gain an overview of the relationship between various leadership styles and safety performance in high-risk industries with a main focus on health and workplace safety and (2) analysing and comparing the major results from the reviewed studies. The results show that nine leadership styles – transformational leadership, transactional leadership, leader–member exchange, authentic leadership, empowering leadership, ethical leadership, paternalistic leadership, charismatic leadership and passive leadership – have been frequently used in the development and validation of safety leadership theories as well as in understanding the leadership influence towards safety climate, safety compliance and safety participation in various contexts. However, blurred boundaries among the constructs of leadership styles alongside inconsistency in the conceptualisation and measurement of safety performance hinder the advancement of understanding safety leadership’s influence on safety performance. It is therefore of importance that further research develops consistent measurement instruments and conceptualisation and that systems thinking is applied to the study of leadership styles’ influence on safety performance.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84070308","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 : 2021-12-27DOI: 10.1080/09617353.2022.2154023
Tuula Saarikoski, K. Haatainen, R. Roine, H. Turunen
Abstract The aim of the study was to compare the quality of the description of the content of patient safety incident reports of ‘near miss’ and ‘adverse event’ occurrences and to examine whether the contributing factors behind the incident were identified. Data were collected from an electronic incident reporting system for a 1-year period (2015) in four acute hospitals in Finland. The analysis framework was based on the incident reporting guidelines, and the data were analysed using statistical methods. The most deficiencies were in records of the consequences of the event for the staff and unit (47%) and the consequences of the event (35%). The description of the content of ‘near miss’ situations did not differ significantly from ‘adverse event’ situations, but statistically significant differences were found between the hospitals in the quality of the description of the content of incident reports. Incident reports did not always identify the processes behind the incident or the factors that contributed to the occurrence of the incident, such as human error. Blaming was still evident in the incident report descriptions.
{"title":"Significant differences in the quality of incident reports – a comparison of four acute hospitals in Finland","authors":"Tuula Saarikoski, K. Haatainen, R. Roine, H. Turunen","doi":"10.1080/09617353.2022.2154023","DOIUrl":"https://doi.org/10.1080/09617353.2022.2154023","url":null,"abstract":"Abstract The aim of the study was to compare the quality of the description of the content of patient safety incident reports of ‘near miss’ and ‘adverse event’ occurrences and to examine whether the contributing factors behind the incident were identified. Data were collected from an electronic incident reporting system for a 1-year period (2015) in four acute hospitals in Finland. The analysis framework was based on the incident reporting guidelines, and the data were analysed using statistical methods. The most deficiencies were in records of the consequences of the event for the staff and unit (47%) and the consequences of the event (35%). The description of the content of ‘near miss’ situations did not differ significantly from ‘adverse event’ situations, but statistically significant differences were found between the hospitals in the quality of the description of the content of incident reports. Incident reports did not always identify the processes behind the incident or the factors that contributed to the occurrence of the incident, such as human error. Blaming was still evident in the incident report descriptions.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78615849","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 : 2021-12-20DOI: 10.1142/s0218539321500509
G. Savage, Y. Son
{"title":"Parametric plots of limit-state surfaces as a design tool intime-variant system reliability","authors":"G. Savage, Y. Son","doi":"10.1142/s0218539321500509","DOIUrl":"https://doi.org/10.1142/s0218539321500509","url":null,"abstract":"","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79890818","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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