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DSM-based Reliability Analysis of Modular Architectures
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). Scania CV AB. (System and component design)
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). (System and component design)
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). (System and component design)ORCID iD: 0000-0003-4461-0209
2015 (English)In: Modeling and managing complex systems: Proceedings of the 17th International DSM Conference Fort Worth (Texas, USA), 4-6 November 2015 / [ed] Tyson R. Browning, Steven D. Eppinger, Danilo Marcello Schmidt, Udo Lindemann, München: Carl Hanser Verlag GmbH, 2015, 111-122 p.Conference paper, Published paper (Refereed)
Abstract [en]

The main function of a heavy truck is to transport goods. Furthermore,the truck is directly operated by a driver, who has several additional functionalrequirements, of both ergonomic and communicative characters. Transport is a trustbusiness and today’s just-in-time delivery systems rely on getting the goods on time.Product reliability, which is the ability of a system to perform according to itsfunctional targets, is consequently a crucially important property for a heavy truck.This paper proposes a structure for a system reliability model that integrates differentand complementary representations, such as Function-Means trees and DesignStructure Matrix. The novelty of the presented approach is that it treats andintegrates the technical and the human subsystems through the human-technicalsystem interfaces in an extended DSM. The proposed reliability systems approachis verified with a component analysis case study of a truck cab and driver system.

Place, publisher, year, edition, pages
München: Carl Hanser Verlag GmbH, 2015. 111-122 p.
Keyword [en]
extended DSM, interactive functions
National Category
Reliability and Maintenance
Research subject
Machine Design
Identifiers
URN: urn:nbn:se:kth:diva-177604Scopus ID: 2-s2.0-84964253100ISBN: 978-3-446-44573-4 (print)OAI: oai:DiVA.org:kth-177604DiVA: diva2:883498
Conference
17th International DSM Conference
Note

QC 20160119

Available from: 2015-12-17 Created: 2015-11-24 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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