Product Development 4.0




Product Development 4.0 (PD 4.0) aims to understand and develop theory, methods and tools necessary for new products and manufacturing systems, aligned with the ideas of Industry 4.0. 

Theme Leader: Dr. Massimo Panarotto, Chalmers

 


Product Development 4.0 (PD 4.0) aims to understand and develop theory, methods and tools necessary for new products and manufacturing systems, aligned with the ideas of Industry 4.0.
PD 4.0 realizes the potential in Set-Based Engineering and Platform-Based Development by capitalizing on the advancements in digital design, simulation, visualization and digital prototyping. This enables exploration and evaluation of design spaces, as parts of a fully digitalized development process. The theme aims to integrate and model all aspects of complex product and production systems, including models for novel manufacturing technologies and product technologies. These models are the basis for multi-aspect simulation to assist complex design decisions on value, functionality and cost, using the large amount of data produced within and outside of the development cycle.


Important research areas

  • Set-based design methods and models for configurable system platforms
  • Robust and configurable geometrical platform system interfaces
  • Knowledge management
  • Configurable integrated product  and production platform models
  • Production process and system platform integration

Ongoing research questions

Research Challenges (RCs) and preliminary Research Questions (RQs) addressed in the theme are:

RC1: To understand how to develop increasingly complex products in their data intensive lifecycle context
RQ1: What are the implications of the increasing amount of data generated and available on product development practices and tools? (SE, GA, GMP, A)
RQ2: How can simulation results and experiences from product and production development be efficiently captured and used to increase learning in model-based development? (SE, GA, A)
RQ3: How can impact of new new technologies and functionalies be valued and supported dynamic and interactive visualization of multi-domain data sets? (SE)

RC2: To support modeling and simulation of multiple aspect products using system models
RQ4: How can multiple domains of product and production systems (e.g. constraints, dependencies, capabilities, sequences) be modeled in an integrated model to digitally represent increasingly complex development? (SE, A)
RQ5: How can simulation of multiple domain models be used to generate data sets of manufacturability and functional performance during design? (SE, GA, GMP, A)
RQ6: How can multi-disciplinary optimization be coordinated and used to explore value,

Published: Mon 28 Apr 2014. Modified: Sun 11 Mar 2018