Massimo Panarotto
Massimo's main research focus is on developing models for determining the lifecycle value of a new engineering system. The ability to properly evaluate the value of complex systems is becoming even more critical as customers, stakeholders and society require the fulfillment of more sophisticated needs and expectations.
Massimo earned his PhD in Mechanical Engineering at Blekinge Institute of Technology in 2015. This followed both a Bachelor and Master degree in Mechanical Engineering earned at University of Padua (Italy) in 2008 and 2011 respectively.
Showing 40 publications
Optimization of Design Margins Allocation When Making Use of Additive Remanufacturing
Design for test and qualification through activity-based modelling in product architecture design
Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements
Multi-domain design assessment for aerospace components including weld accessibility
Function model-based generation of CAD model variants
Exploring the Potential of Digital Twin-Driven Design of Aero-Engine Structures
Scalable set-based design optimization and remanufacturing for meeting changing requirements
Analysing increase of functionality and complexity in integrated product architectures
Identification of Technology Integration Challenges at Two Global Automotive OEMs
Value-Based Development Connecting Engineering and Business: A Case on Electric Space Propulsion
Supporting designers: moving from method menagerie to method ecosystem
Interactive model-based decision-making tools in early product platform design
Automatic geometry alteration when designing for metal additive manufacturing
Perspectives on innovation: The role of engineering design
Value models: Coordinating artefacts for conceptual design
Enhanced function-means modeling supporting design space exploration
Lifecycle design and management of additive manufacturing technologies
Assessing the value of radical technology alternatives at system level
Impact on design when introducing additive manufacturing in space applications
Towards Adopting Digital Twins to Support Design Reuse during Platform Concept Development
Maturity of models in a multi-model decision support system
Value-driven engineering design: lessons learned from the road construction equipment industry
Value-driven simulation: Thinking together through simulation in early engineering design
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Showing 6 research projects
Development of Interdisciplinary Assessment for manufacturing and deSign (DIAS)
Development of efficient DIgital product FAMily design platform to increase cost efficiency - DIFAM
VISP - Value and flexibility Impact analysis for Sustainable Production
Digitalisation of the additive manufacturing production chaing to create efficiency (DINA++)
Consortum for Hall Effect Orbital Propulsion System (CHEOPS)