“…The System State Flow Diagram (SSFD) approach was introduced (Campean et al, 2011;Yildirim et al, 2017) as a systematic approach for function modelling underpinned by a state-based representation of the flows through a complex system. The essence of the reasoning that underpins the SSFD function modelling framework is rooted in the Object-Attribute-Function framework of Sickafus (1997), and is based on an object "triad", illustrated in Figure 3.…”
Section: Function Modelling Using the System State Flow Diagrammentioning
confidence: 99%
“…This is based on an industrial case study originally presented by the authors (Campean et al, 2011), which is re-analysed using the methodology presented in this paper. The background to this industrial case study is that an electric based powertrain was to be designed and installed to replace an original Diesel based powertrain.…”
Section: Case Study: Function Modelling Of An Electric Vehicle Powertmentioning
The research presented in this paper addresses the challenge of developing functional models for complex systems that have multiple modes of operation or use cases. An industrial case study of an electric vehicle is used to illustrate the proposed methodology, which is based on a systematic modelling of functions through nested systems using the system state flow diagram (SSFD) method. The paper discusses the use of SSFD parameter based state definition to identify physical and logical conditions for joining function models, and the use of heuristics to construct complex function models.
“…The System State Flow Diagram (SSFD) approach was introduced (Campean et al, 2011;Yildirim et al, 2017) as a systematic approach for function modelling underpinned by a state-based representation of the flows through a complex system. The essence of the reasoning that underpins the SSFD function modelling framework is rooted in the Object-Attribute-Function framework of Sickafus (1997), and is based on an object "triad", illustrated in Figure 3.…”
Section: Function Modelling Using the System State Flow Diagrammentioning
confidence: 99%
“…This is based on an industrial case study originally presented by the authors (Campean et al, 2011), which is re-analysed using the methodology presented in this paper. The background to this industrial case study is that an electric based powertrain was to be designed and installed to replace an original Diesel based powertrain.…”
Section: Case Study: Function Modelling Of An Electric Vehicle Powertmentioning
The research presented in this paper addresses the challenge of developing functional models for complex systems that have multiple modes of operation or use cases. An industrial case study of an electric vehicle is used to illustrate the proposed methodology, which is based on a systematic modelling of functions through nested systems using the system state flow diagram (SSFD) method. The paper discusses the use of SSFD parameter based state definition to identify physical and logical conditions for joining function models, and the use of heuristics to construct complex function models.
“…To provide further empirical validation of the methodology, a case study of the application of the SSFD function modeling to a real-world engineering problem was considered, for the analysis of an EVP for a full electric light commercial vehicle, based on an industrial case study analysis carried out by the authors, outlined in Campean et al (2011).…”
Section: Industrial Case Study: Evp Modeling Using Ssfdmentioning
confidence: 99%
“…An EVP has several modes of operation, as illustrated in the SysML use case diagram in Figure 17. For the purpose of this analysis, the use cases considered include “Charge EV” (UC1) charge and store electrical energy; “Drive EV” (UC2) associated with the requirement to “provide controled torque at the rear axle”; and “Power EV Accessories” (UC3) to provide power for low-voltage vehicle consumers (Campean et al, 2011). Fig.…”
Section: Industrial Case Study: Evp Modeling Using Ssfdmentioning
confidence: 99%
“…An SSFD model is developed by decomposing the function through identification of intermediate states of the flow between the input state and the output state, as illustrated in Figure 1b. Functional models of complex systems can be created by systematic mapping of flows of energy, material, and information through the system, as illustrated in Campean et al (2011). The SSFD methodology has been deployed in industry over the past 6 years, in particular in conjunction with two major automotive OEMs, supported through a learning intervention for a design methodology focussed on robust engineering systems design analysis (Henshall et al, 2017).…”
This paper introduces a rigorous framework for function modeling of complex multidisciplinary systems based on the system state flow diagram (SSFD). The work addresses the need for a consistent methodology to support solution-neutral function-based system decomposition analysis, facilitating the design, modeling, and analysis of complex systems architectures. A rigorous basis for the SSFD is established by defining conventions for states and function definitions and a representation scheme, underpinned by a critical review of existing literature. A set of heuristics are introduced to support the function decomposition analysis and to facilitate the deployment of the methodology with strong practitioner guidelines. The SSFD heuristics extend the existing framework of Otto and Wood (2001) by introducing a conditional fork node heuristic, to facilitate analysis and aggregation of function models across multiple modes of operation of the system. The empirical validation of the SSFD function modeling framework is discussed in relation to its application to two case studies: a benchmark problem (glue gun) set for the engineering design community; and an industrial case study of an electric vehicle powertrain. Based on the evidence from the two case studies presented in the paper, a critical evaluation of the SSFD function modeling methodology is discussed based on the function benchmarking framework established by Summers et al. (2013), considering the representation, modeling, cognitive, and reasoning characteristics. The significance of this paper is that it establishes a rigorous reference framework for the SSFD function representation and a consistent methodology to guide the practitioner with its deployment, facilitating its impact to industrial practice.
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