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Model-based reliability analysis
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.). Scania CV AB, Sweden.
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).ORCID iD: 0000-0003-4461-0209
2016 (English)In: Artificial intelligence for engineering design, analysis and manufacturing, ISSN 0890-0604, E-ISSN 1469-1760, Vol. 30, no 3, 277-288 p.Article in journal (Refereed) Published
Abstract [en]

The main function of a heavy truck is to transport goods, with ton-kilometers/year as an example of a major quantitative performance measure. Furthermore, the truck is directly operated by a driver, who has several additional functional requirements, of both ergonomic and communicative characters. Failure of these functions may be a subjective experience, differing between drivers, but the failures are still important. Today's just-in-time delivery systems rely on getting the goods on time, and this requires high availability. Availability is reduced not only by technical failures but also by subjectively experienced failures, because these also require repairs, or downtime. Product reliability is a systems property that cannot be attributed to a single component. It is in many cases related to interaction between components, or to interaction between humans and the technical system, in the case of subjectively experienced failures. Reliability assessments of systems with interactive functions require a system model that includes the interfaces between the technical system and human features that are carriers of interactive functions. This paper proposes a model of system architecture, for the purpose of reliability assessments, that integrates different and complementary representations, such as function-means diagrams and a design structure matrix. The novelty of the presented approach is that it treats and integrates the technical and the human subsystems through the human-technical system interfaces. The proposed systems reliability approach is described and verified with a component analysis case study of an extended truck cab and driver system.

Place, publisher, year, edition, pages
Cambridge University Press, 2016. Vol. 30, no 3, 277-288 p.
Keyword [en]
Extended Design Structure Matrix, Interactive function, Reliability Estimation
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-192400DOI: 10.1017/S0890060416000251ISI: 000381226000006Scopus ID: 2-s2.0-84978661384OAI: oai:DiVA.org:kth-192400DiVA: diva2:971095
Note

QC 20160915

Available from: 2016-09-15 Created: 2016-09-12 Last updated: 2017-06-02Bibliographically approved
In thesis
1. Supporting complete vehicle reliability forecasts
Open this publication in new window or tab >>Supporting complete vehicle reliability forecasts
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Reliability is one of the properties that customers of heavy trucks value highest.Dependent on all parts and functions of the vehicle, reliability is a complexproperty, which can normally be measured only towards the end of a developmentproject. At earlier development stages, forecasts can give valuable decision supportfor project planning.The main function of a heavy truck is to transport goods, but the truck also hasinteractive functions as the working environment of the driver. Interactivefunctions are functions experienced by the driver. They are subjective, in the senseof being person dependent, so that a system can be experienced as inadequate byone user but satisfactory by another. Examples of interactive functions of heavytrucks are climate comfort and ergonomics, which are experienced differently bydifferent drivers. Failures of these functions lead to costs and limited availabilityfor the customer. Therefore it is important to include them in reliability forecasts.The work described in this thesis concerns some elements of the system reliabilityforecast. Two studies are presented, one proposing a qualitative systemarchitecture model and the other reviewing and testing methods for evaluating theimpact of varying operating conditions. Two case studies of a truck cab in a systemreliability test were made. The first case study shows that the system architecturemodel supports reliability forecasts by including interactive functions as well asexternal factors, human and environmental, which affect function performance.The second case study shows that modelling uncertainty is crucial for interactivefunctions and recommends a method to forecast function performance while takingvarying operating conditions into account.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 25 p.
Series
TRITA-MMK, ISSN 1400-1179 ; 2017:09
Keyword
Reliability forecast, interactive function, operating conditions
National Category
Mechanical Engineering
Research subject
Machine Design
Identifiers
urn:nbn:se:kth:diva-208195 (URN)978-91-7729-400-9 (ISBN)
Presentation
2017-06-07, B242, Brinellvägen 83, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170602

Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-09Bibliographically approved

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Lindén, JuliaSellgren, UlfSöderberg, Anders
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