Integration of system design and production processes in robust mechatronic product architectures development - extended M-FBFP framework

Abstract

The complexity of mechatronic products, such as climate chamber subsystems, results in enormous difficulties in understanding where the main design process inefficiencies are. It is therefore extremely difficult to determine which improvements will have the most significant impact on a company or on a specific project. Mechatronic products are characterized by a high level of interdisciplinarity and complexity in the technical system and the relevant development processes. The main challenge in this respect is how to deal with the high complexity of and a variety of interdependencies in such products. We are therefore presenting a framework for integrated mechatronic product and process modellingextended M-FBFP framework. This framework provides different independent perspectives of the overall product to improve their architecture. As a result of the proposed framework, risk analysis through subsystems in the components domain and through processes in the technical processes domain is enabled and it is now possible to provide feedback on product architecture. To obtain optimally robust product architectures from available alternative solutions, an evaluation analysis was performed across all stages, including the initialization and subsequent refinements with several evaluation criteria: complexity, interdependency and process duration. To test the validity of the proposed framework, we are presenting a case study involving a climate chamber with heat regeneration.The design issues and decisions encountered in the early stages of product design relate to certain information, including requirements, functions, components and engineering characteristics, which capture the performance measures of the system [1]. As such, several design tools have been developed to structure this conceptual design information using matrices. However, these existing tools do not provide algorithms for evaluating this conceptual design information [2]. Numerous system analysis methods have been developed in order to identify potential areas of design improvement in terms of requirements, functionality, and components. Many risks inherent in a product and/or development process are defined within the product architecture. Such product information and specifications, as well as the development of certain criteria, are considered to be important for product Correspondence: K. Osman, Chair of Design and Product Development,

Perspective Chapter: Digital Twin Technology as a Tool to Enhance the Performance of Agile Project Management

“…It is imperative to remember that complex product development naturally entails technical risks [76,77]. However, the use of DT technology also effectively alleviates these risks.…”

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

“…In modular design, modularization can be based on the functional model of a system, itself performed using Function-Behavior-State modelling (Van Beek et al 2010). According to those researchers, "[Function-Behavior-State] is a A DSM is also cited and linked with the MDM (Osman et al 2013). Finally, for robust design purposes, Osman et al deploy a function-based failure propagation method relying on tools such as a functional dependency matrix, propagation tree, the total likelihood of propagation, and from our understanding, MDM (Osman et al 2013).…”