SFB 768 Subproject A10
Analyzing the dynamics of cyclic interactions in PSS
Field of Study
Cycle Management, Product-Service Systems, COmplexity, Dynamic Modeling, Dynamic Interdependencies
The successful development of a product-service system mandates a holistic examination of the underlying socio-technical system, in which the product-service system is embedded. Besides the technical aspects, the social technical system comprises social aspects, such as involved stakeholders, (e.g. users, suppliers, service providers and other organizations) and interactions within them and with technical aspects. Numerous dynamic, cyclic dependencies exist between these stakeholders and in relation to the product-service system. These dependencies and interactions need to be investigated for studying the complexity of the overall product-service system.
Within the scope of the project, the tansition towards a holistic, sociotechnical design approach for product-service systems is pursued. To achieve this, a design platform is being developed which incorporates the different types of complexity within the system. A further goal is to support the involved stakeholders in the selection of strategic design alternatives, taking into account the effects of cyclic interdependencies between the product-service system and its social environment. This can be achieved, for instance, using sociotechnical key performance measure and dynamic modeling to observe system behavior over time.
Within the project, methods of model-based systems engineering will be applied. For instance, the modeling language SysML will be used to model the sociotechnical system, its requirements and occuring use cases. In a first step, a concrete system will be defined, based on the demonstrators that have already been developed within the SFB 768. Dynamic, cyclic interdependencies will be analyzed by using dynamic simulation models, for example using agent based simulation or system dynamics. The performance of the overall socio-technical system will be determined using key performance measures. From this, approaches for system optimization and strategic alternatives within the sociotechnical system will be derived, to maximize the overall performance of the system and the individual performance of the involved stakeholders.
January 2016 to December 2019