Industrial challenges in managing product development knowledge

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A Knowledge Management Approach Supporting Model-Based Systems Engineering

Model-based Systems Engineering (MBSE) is a noval approach to support complex system development by formalizing system artifacts and development using models. Though MBSE models provide a completely structural formalisms about system development for system ...

2021

The challenges of studying change in carbon-intensive urban consumption practices: Exploring the dynamics of practice change and of normative considerations in knowledge production

Franziska Meinherz

Problem. To reach international greenhouse gas (GHG) emission targets, the carbon intensity of urban resource and energy consumption must be reduced. Technological innovation alone is not sufficient: The practices that constitute urban household demand for ...

EPFL2021

The emergence of cognitive digital twin: vision, challenges and opportunities

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

As a key enabling technology of Industry 4.0, Digital Twin (DT) has been widely applied to various industrial domains covering different lifecycle phases of products and systems. To fully realize the Industry 4.0 vision, it is necessary to integrate multip ...

TAYLOR & FRANCIS LTD2022

Automated Design: A Journey Across Modelling, Optimization, and Education

Cyril Picard

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

EPFL2021

A methodology to design measurement systems when multiple model classes are plausible

Ian Smith, Numa Joy Bertola, Sai Ganesh Sarvotham Pai

The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...

2021

Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Jinzhi Lu

Refineries execute a series of interlinked processes, where the product of one unit serves as the input to another process. Potential failures within these processes affect the quality of the end products, operational efficiency, and revenue of the entire ...

2021

Design Ontology Supporting Model-Based Systems Engineering Formalisms

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Han Li

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, deve ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Utilization of research knowledge in sustainable development pathways: Insights from a transdisciplinary research-for-development programme

Jessie Madrazo Bacallao, Thomas Guillaume

This study contributes to the ongoing discussion on how to attribute and evaluate the contribution of transdisciplinary research to sustainable development. As co-created knowledge is a key product of transdisciplinary research, we tested the hypothesis th ...

ELSEVIER SCI LTD2020

A Complexity Analysis Approach for Model-based System Engineering

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

With the increasing complexity of the highly engineered products, Model-based Systems Engineering (MBSE) is proposed to support the complexity management of the product development. As the basic of complexity management, complexity analysis is used to meas ...

IEEE2020

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