Reliability Research Roadmapping Workshop: Implications for Engineering Design

Campean, Felician; Delaux, David; Sharma, Sanjiv; Bridges, James M.

doi:10.1017/dsd.2020.337

Cited by 5 publications

(10 citation statements)

References 16 publications

(14 reference statements)

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“…Work that addresses more than one development phase is rare and usually comes in a survey or review format itself, e.g. Campean et al (2020). For this reason, it was not included in the classification of Figure 5.…”

Section: Discussion Of Resultsmentioning

confidence: 99%

A Robust Design Research Landscape - Review on the Importance of Design Research for Achieving Product Robustness

Eifler

Schleich

2021

Proc. Des. Soc.

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The strive for design principles, qualitative and quantitative design tools, and product development methodologies that enable and support the design of robust products, that is products which are insensitive to noise and variation, is an ongoing challenge for both practitioners and academics. This paper reviews and classifies recent research efforts dedicated to robust design originating from the design society and carves out important challenges and potentials for future research. The main novelty of the paper can be found in the structured analysis and classification of recent robust design efforts as well as in the systematic elaboration of future research challenges, which seeks to stimulate a discussion on future tasks and challenges in robust design research.

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Section: Discussion Of Resultsmentioning

confidence: 99%

A Robust Design Research Landscape - Review on the Importance of Design Research for Achieving Product Robustness

Eifler

Schleich

2021

Proc. Des. Soc.

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“…Such issues have been so far less consistently considered by the RAS dependability research, which mainly focusses on the complexity of external interactions in a system-of-systems context. However, there is growing recognition in industry that the trade-off between safety and availability has become critical to the development of automated driving (SaFAD, 2019) and that global reliability models for the systems are a priority for research and development, as highlighted by the industry review of reliability research challenges (Campean et al, 2020). In particular, understanding and modelling the behaviour of complex heterogeneous systems including both physical and artificial intelligence AI / machine learning (ML) "black box" components was highlighted as a priority by industry stakeholders.…”

Section: Challenges and Requirements For A Ras Model Of Resilience Assurancementioning

confidence: 99%

“…In systems resilience terms, this has two potential consequences: (i) the impact of the actual behaviour of the physical systems on the robustness of the autonomous feature needs to be thoroughly evaluated (as discussed at point (1) above); and (ii) the introduction of new dependencies within the system, introduces new vulnerabilities, and potential impact on the adaptability and flexibility of the system to recover from a significant external disturbance. Therefore, open evolution of a complex system can be regarded as a pathway for degradation of a complex autonomous system (Campean et al, 2020), which needs to be both tested and monitored.…”

Section: Challenges and Requirements For A Ras Model Of Resilience Assurancementioning

confidence: 99%

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Towards a Resilience Assurance Model for Robotic Autonomous Systems

et al. 2021

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Applications of autonomous systems are becoming increasingly common across the field of engineered systems from cars, drones, manufacturing systems and medical devices, addressing prevailing societal changes, and, increasingly, consumer demand. Autonomous systems are expected to self-manage and self-certify against risks affecting the mission, safety and asset integrity. While significant progress has been achieved in relation to the modelling of safety and safety assurance of autonomous systems, no similar approach is available for resilience that integrates coherently across the cyber and physical parts. This paper presents a comprehensive discussion of resilience in the context of robotic autonomous systems, covering both resilience by design and resilience by reaction, and proposes a conceptual model of a system of learning for resilience assurance in a continuous product development framework. The resilience assurance model is proposed as a composable digital artefact, underpinned by a rigorous model-based resilience analysis at the system design stage, and dynamically monitored and continuously updated at run time in the system operation stage, with machine learning based knowledge extraction and validation.

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“…The development of this type of systems, including hybrid (human-machine) autonomous systems, requires carrying out modelling activity for largely unknown scenarios, for which models are not available. In general, the introduction of technologically advanced features on existing systems is recognised as a methodological challenge across industry domains (Campean et al 2020). Alternative incremental approaches to system development and requirements capture that can accommodate the identification of changing or new requirements as the system is developed have been increasingly considered (Pfeffer et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Functional modelling of complex multi-disciplinary systems using the enhanced sequence diagram

Yildirim

Campean

2020

Res Eng Design

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This paper introduces an Enhanced Sequence Diagram (ESD) as the basis for a structured framework for the functional analysis of complex multidisciplinary systems. The ESD extends the conventional sequence diagrams (SD) by introducing a rigorous functional flow-based modelling schemata to provide an enhanced basis for model-based functional requirements and architecture analysis in the early systems design stages. The proposed ESD heuristics include the representation of transactional and transformative functions required to deliver the use case sequence, and fork and join nodes to facilitate analysis of combining and bifurcating operations on flows. A case study of a personal mobility device is used to illustrate the deployment of the ESD methodology in relation to three common product development scenarios: (i) reverse engineering, (ii) the introduction of a specific technology to an existent system; and (iii) the introduction of a new feature as user-centric innovation for an existing system, at a logical design level, without reference to any solution. The case study analysis provides further insights into the effectiveness of the ESD to support function modelling and functional requirements capture, and architecture development. The significance of this paper is that it establishes a rigorous ESD-based functional analysis methodology to guide the practitioner with its deployment, facilitating its impact to both the engineering design and systems engineering communities, as well as the design practice in the industry.

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Reliability Research Roadmapping Workshop: Implications for Engineering Design

Cited by 5 publications

References 16 publications

A Robust Design Research Landscape - Review on the Importance of Design Research for Achieving Product Robustness

A Robust Design Research Landscape - Review on the Importance of Design Research for Achieving Product Robustness

Towards a Resilience Assurance Model for Robotic Autonomous Systems

Functional modelling of complex multi-disciplinary systems using the enhanced sequence diagram

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