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Publikasjoner (10 av 57) Visa alla publikasjoner
Illankoon, P. & Tretten, P. (2020). Distributed, Collaborative Awareness Model for Maintenance Decision Support.. IEEE Access
Åpne denne publikasjonen i ny fane eller vindu >>Distributed, Collaborative Awareness Model for Maintenance Decision Support.
2020 (engelsk)Inngår i: IEEE Access, E-ISSN 2169-3536Artikkel i tidsskrift (Fagfellevurdert) Submitted
Abstract [en]

Maintenance decision errors can result in very costly problems. With the rise of 4th industrial revolution, Intelligent Decision Support Systems are growing quickly. However, a key concern has been to better understand the linkage between the technicians’ knowledge and Intelligent Decision Support Systems. The research reported in this study has two primary objectives. (1) to propose a theoretical model that links technicians’ knowledge and intelligent decision support systems, and (2) to present a use case how to apply the theoretical model. As the foundation of the new model, is the assentation of two main streams of study in the decision support literature: “distribution” of knowledge among different agents, and “collaboration” of knowledge for reaching a shared goal. This study resulted in identification of two main gaps: first, there is no enough recognition of the technicians’ knowledge; second, there is little assistance for technician by providing the bigger picture. We used cognitive fit theory, and the theory of distributed situation awareness to build the new theoretical model we call the “Distributed Collaborative Awareness Model.” The model considers both explicit and implicit knowledge, and accommodates the dynamic challenges involved in operational level maintenance. As a means of applying this model, we identify and recommend some technological developments required in Augmented Reality based maintenance decision support.

Emneord
Industry 4.0, Maintenance, Decision support, Situation awareness, Collaboration, Augmented Reality
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-77558 (URN)
Tilgjengelig fra: 2020-01-30 Laget: 2020-01-30 Sist oppdatert: 2020-01-30
Illankoon, P., Tretten, P. & Kumar, U. (2019). A prospective study of maintenance deviations using HFACS-ME. International Journal of Industrial Ergonomics, 74, Article ID 102852.
Åpne denne publikasjonen i ny fane eller vindu >>A prospective study of maintenance deviations using HFACS-ME
2019 (engelsk)Inngår i: International Journal of Industrial Ergonomics, ISSN 0169-8141, E-ISSN 1872-8219, Vol. 74, artikkel-id 102852Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The factors initiating aviation accidents are usually hidden behind various steps, systems, and tasks, and systematic root-cause analysis is required to uncover the initial factor(s). To reduce the risk of unfavourable events, it is more appropriate to study their causal factors. We argue that an in-depth study on maintenance process deviations could assist in uncovering hidden causal factors. We therefore analyse reported maintenance deviations from an aviation organisation using the Human Factor Analysis and Classification System-Maintenance Extension (HFACS-ME) taxonomy to aggregate and map hidden causal factors. We find attention and memory errors and inadequacy of processes and documentation are major causal factors. We argue a well-run organisation can capture hidden causal factors and reduce the risk of incidents and accidents. More specifically, we show how situation awareness (SA) interventions can assist in the mitigation of maintenance deviations and capture hidden causal factors.

sted, utgiver, år, opplag, sider
Elsevier, 2019
Emneord
Aviation maintenance, Incidents, Active error, Latent condition, Situation awareness
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-76338 (URN)10.1016/j.ergon.2019.102852 (DOI)
Forskningsfinansiär
Luleå Railway Research Centre (JVTC), 167522
Merknad

Validerad;2019;Nivå 2;2019-10-15 (johcin)

Tilgjengelig fra: 2019-10-10 Laget: 2019-10-10 Sist oppdatert: 2020-01-30bibliografisk kontrollert
Kour, R., Tretten, P., Karim, R. & Singh, S. (2019). Cybersecurity Workforce in Railway: A Case Study. In: Proceedings of the 5th International Workshop & Congress on eMaintenance 2019: . Paper presented at Proceedings of the 5th International Workshop & Congress on eMaintenance 2019.
Åpne denne publikasjonen i ny fane eller vindu >>Cybersecurity Workforce in Railway: A Case Study
2019 (engelsk)Inngår i: Proceedings of the 5th International Workshop & Congress on eMaintenance 2019, 2019Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Railway will continue to adapt new digital solutions which are necessary and vulnerable to cyber threats. The history of cyber-attacks on critical infrastructures including railway suggests that there is a need for cybersecurity awareness. Both for employees and the general public. The very first step in cyber hygiene is cybersecurity training and awareness for the workforce. A well-educated workforce plays a vital role in building more cyber resiliency across the organization's operation and maintenance. The objective of this research is to evaluate the cybersecurity maturity level for workforce management in three railway organizations. The results show that there is a cybersecurity workforce gap and there is a need to eliminate this gap by enhancing cybersecurity workforce culture. Henceforth, this gap can be improved by developing cybersecurity culture, including cybersecurity training and awareness and by following recommendations provided in this paper.

HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-75936 (URN)
Konferanse
Proceedings of the 5th International Workshop & Congress on eMaintenance 2019
Tilgjengelig fra: 2019-09-10 Laget: 2019-09-10 Sist oppdatert: 2019-09-10
Illankoon, P., Tretten, P. & Singh, S. (2019). Decision Support System for Flight Maintenance Technicians: Issues and Challenges. In: Miguel Casta ̃no Arranz (Ed.), Proceedings of the 5th international workshop and congress on eMaintenace: eMaintenance Trends in technologies & methodologies, challenges, possibilities and applications. Paper presented at 5th international workshop and congress on eMaintenace (pp. 88-94). Luleå, Sweden
Åpne denne publikasjonen i ny fane eller vindu >>Decision Support System for Flight Maintenance Technicians: Issues and Challenges
2019 (engelsk)Inngår i: Proceedings of the 5th international workshop and congress on eMaintenace: eMaintenance Trends in technologies & methodologies, challenges, possibilities and applications / [ed] Miguel Casta ̃no Arranz, Luleå, Sweden, 2019, s. 88-94Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this article, we summarize the key insights into the fast-rising areas in decision support and integration of flight maintenance information. The study elaborates the need and challenges of decision support for flight maintenance technicians. The major focus is on the decision support that allows maintenance technicians as end users to interact and get a better understanding of the systems (flights) they are dealing with. 

sted, utgiver, år, opplag, sider
Luleå, Sweden: , 2019
Emneord
Decision support, fight maintenance, Situation Awareness
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-76499 (URN)978-91-7790-475-5 (ISBN)
Konferanse
5th international workshop and congress on eMaintenace
Forskningsfinansiär
Vinnova
Tilgjengelig fra: 2019-10-24 Laget: 2019-10-24 Sist oppdatert: 2019-10-28
Kour, R., Al-Jumaili, M., Karim, R. & Tretten, P. (2019). eMaintenance in railways: Issues and challenges in cybersecurity. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 233(10), 1012-1022
Åpne denne publikasjonen i ny fane eller vindu >>eMaintenance in railways: Issues and challenges in cybersecurity
2019 (engelsk)Inngår i: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 233, nr 10, s. 1012-1022Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The convergence of information technology and operation technology and the associated paradigm shift toward Industry 4.0 in complex systems, such as railways has brought significant benefits in reliability, maintainability, operational efficiency, capacity, as well as improvements in passenger experience. However, with the adoption of information and communications technologies in railway maintenance, vulnerability to cyber threats has increased. It is essential that organizations move toward security analytics and automation to improve and prevent security breaches and to quickly identify and respond to security events. This paper provides a statistical review of cybersecurity incidents in the transportation sector with a focus on railways. It uses a web-based search for data collection in popular databases. The overall objective is to identify cybersecurity challenges in the railway sector.

sted, utgiver, år, opplag, sider
Sage Publications, 2019
Emneord
Cybersecurity, railway, eMaintenance, challenges
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-72536 (URN)10.1177/0954409718822915 (DOI)000483645500002 ()
Merknad

Validerad;2019;Nivå 2;2019-09-11 (johcin)

Tilgjengelig fra: 2019-01-14 Laget: 2019-01-14 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Normark, C. J. & Tretten, P. (2019). Guidelines for a mobile tool to address human factors issues in aircraft maintenance. International Journal of Human Factors and Ergonomics
Åpne denne publikasjonen i ny fane eller vindu >>Guidelines for a mobile tool to address human factors issues in aircraft maintenance
2019 (engelsk)Inngår i: International Journal of Human Factors and Ergonomics, ISSN 2045-7804, E-ISSN 2045-7812Artikkel i tidsskrift (Fagfellevurdert) In press
Abstract [en]

Highly specialised personnel are dependent on others and diverse systems to perform error-free aircraft maintenance. Research has shown that the maintenance process can be improved to reduce errors and increase usability by using a mobile tool. The goal of this project was to draw on theories of user-centred design to explore what human factors issues for maintenance personnel can be addressed by a mobile tool to make the most out of maintenance planning, execution, and follow-up. Military aircraft maintenance personnel at an air force unit were interviewed and observed. The following six problem areas that could be improved by the use of a mobile tool were identified: several information sources must constantly be consulted; information is constantly transferred between different locations and media types; technical documentation can be inconsistent and hard to access; there are strict hierarchies and certifications of personnel; the means of recording and transferring communicative information are insufficient; and there can be a long lag time for updates, error reporting and feedback of actions. A correctly designed mobile tool could solve these problems by combining all the information sources and recording relevant maintenance information.

sted, utgiver, år, opplag, sider
Olney, Bucks MK46 5WB UK: , 2019
Emneord
Aircraft maintenance, Human Factors, Human error, Maintenance, User interface
HSV kategori
Forskningsprogram
Industriell design; Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-75522 (URN)
Tilgjengelig fra: 2019-08-14 Laget: 2019-08-14 Sist oppdatert: 2019-08-14
Illankoon, P. & Tretten, P. (2019). Judgemental errors in aviation maintenance. Cognition, Technology & Work
Åpne denne publikasjonen i ny fane eller vindu >>Judgemental errors in aviation maintenance
2019 (engelsk)Inngår i: Cognition, Technology & Work, ISSN 1435-5558, E-ISSN 1435-5566Artikkel i tidsskrift (Fagfellevurdert) Epub ahead of print
Abstract [en]

Aircraft maintenance is a critical success factor in the aviation sector, and incorrect maintenance actions themselves can be the cause of accidents. Judgemental errors are the top causal factors of maintenance-related aviation accidents. This study asks why judgemental errors occur in maintenance. Referring to six aviation accidents, we show how various biases contributed to those accidents. We first filtered aviation accident reports, looking for accidents linked to errors in maintenance judgements. We analysed the investigation reports, as well as the relevant interview transcriptions. Then we set the characteristics of the actions behind the accidents within the context of the literature and the taxonomy of reasons for judgemental biases. Our results demonstrate how various biases, such as theory-induced blindness, optimistic bias, and substitution bias misled maintenance technicians and eventually become the main cause of a catastrophe. We also find these biases are interrelated, with one causing another to develop. We discuss how these judgemental errors could relate to loss of situation awareness, and suggest interventions to mitigate them.

sted, utgiver, år, opplag, sider
Springer, 2019
Emneord
Judgemental error, Heuristics, Aviation maintenance, Situation awareness
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-76544 (URN)10.1007/s10111-019-00609-9 (DOI)000492918800001 ()2-s2.0-85074656365 (Scopus ID)
Forskningsfinansiär
Luleå Railway Research Centre (JVTC)
Tilgjengelig fra: 2019-10-28 Laget: 2019-10-28 Sist oppdatert: 2020-01-30
Illankoon, P., Manathunge, Y., Tretten, P., Abeysekara, J. & Singh, S. (2019). Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective. Safety, 5(2)
Åpne denne publikasjonen i ny fane eller vindu >>Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective
Vise andre…
2019 (engelsk)Inngår i: Safety, ISSN 2313-576X, Vol. 5, nr 2Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Applying lockouts during maintenance is intended to avoid accidental energy release, whereas tagging them out keeps employees aware of what is going on with the machine. In spite of regulations, serious accidents continue to occur due to lapses during lockout and tagout (LOTO) applications. Few studies have examined LOTO effectiveness from a user perspective. This article studies LOTO processes at a manufacturing organization from a situation awareness (SA) perspective. Technicians and machine operators were interviewed, a focus group discussion was conducted, and operators were observed. Qualitative content analysis revealed perceptual, comprehension and projection challenges associated with different phases of LOTO applications. The findings can help lockout/tagout device manufacturers and organizations that apply LOTO to achieve maximum protection.

sted, utgiver, år, opplag, sider
Basel: MDPI, 2019
Emneord
lockout, tagout, qualitative content analysis, situation awareness
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-73795 (URN)10.3390/safety5020025 (DOI)000474934600008 ()2-s2.0-85071440225 (Scopus ID)
Merknad

Validerad;2019;Nivå 2;2019-05-29 (oliekm)

Tilgjengelig fra: 2019-04-30 Laget: 2019-04-30 Sist oppdatert: 2020-01-30bibliografisk kontrollert
Illankoon, P., Tretten, P. & Kumar, U. (2019). Modelling human cognition of abnormal machine behaviour. Human-Intelligent Systems Integration, 1(1), 3-26
Åpne denne publikasjonen i ny fane eller vindu >>Modelling human cognition of abnormal machine behaviour
2019 (engelsk)Inngår i: Human-Intelligent Systems Integration, ISSN 2524-4876, Vol. 1, nr 1, s. 3-26Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Despite the advances in intelligent systems, there is no guarantee that those systems will always behave normally. Machine abnormalities, unusual responses to controls or false alarms, are still common; therefore, a better understanding of how humans learn and respond to abnormal machine behaviour is essential. Human cognition has been researched in many domains. Numerous theories such as utility theory, three-level situation awareness and theory of dual cognition suggest how human cognition behaves. These theories present the varieties of human cognition including deliberate and naturalistic thinking. However, studies have not taken into consideration varieties of human cognition employed when responding to abnormal machine behaviour. This study reviews theories of cognition, along with empirical work on the significance of human cognition, including several case studies. The different propositions of human cognition concerning abnormal machine behaviour are compared to dual cognition theories. Our results show that situation awareness is a suitable framework to model human cognition of abnormal machine behaviour. We also propose a continuum which represents varieties of cognition, lying between explicit and implicit cognition. Finally, we suggest a theoretical approach to learn how the human cognition functions when responding to abnormal machine behaviour during a specific event. In conclusion, we posit that the model has implications for emerging waves of human-intelligent system collaboration.

sted, utgiver, år, opplag, sider
Springer, 2019
Emneord
Cognition, Machine abnormities, Situation awareness, Explicit, Implicit, Cognitive continuum
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-73796 (URN)10.1007/s42454-019-00002-x (DOI)
Forskningsfinansiär
Luleå Railway Research Centre (JVTC)
Tilgjengelig fra: 2019-04-30 Laget: 2019-04-30 Sist oppdatert: 2020-01-30bibliografisk kontrollert
Al-Jumaili, M., Karim, R. & Tretten, P. (2018). Data quality assessment using multi-attribute: maintenance perspective. International Journal of Information and Decision Sciences, 10(2), 147-161
Åpne denne publikasjonen i ny fane eller vindu >>Data quality assessment using multi-attribute: maintenance perspective
2018 (engelsk)Inngår i: International Journal of Information and Decision Sciences, ISSN 1756-7017, E-ISSN 1756-7025, Vol. 10, nr 2, s. 147-161Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The paper proposes a model for data quality (DQ) assessment in maintenance. Data has become an increasingly important since most of the maintenance planning and implementations are based on data analysis. Poor DQ reduces customer satisfaction, leading to poor decision making, and has negative impacts on strategy execution. To improve DQ as well as to evaluate the current status, DQ needs to be measured. A measure for DQ could be an important support for decision makers. Multi-criteria decision-making (MCDM) methods can provide a framework for DQ assessment, however, they are not used in literature for DQ assessment. In order to assess DQ, the attributes or KPIs need to be defined, their hierarchy should be designed and the assessment model is proposed to evaluate these attributes. A case study is also presented in this paper. The study shows that MCDM methods could provide qualitative estimation for the quality of DQ attributes.

sted, utgiver, år, opplag, sider
InderScience Publishers, 2018
Emneord
Data quality, data science, eMaintenance
HSV kategori
Forskningsprogram
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-69215 (URN)10.1504/IJIDS.2018.092423 (DOI)2-s2.0-85048767333 (Scopus ID)
Merknad

Validerad;2018;Nivå 1;2018-06-21 (svasva)

Tilgjengelig fra: 2018-06-08 Laget: 2018-06-08 Sist oppdatert: 2018-06-29bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-3827-0295