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SUNISWELL

International cooperation between ISAE-Supméca (Paris, France), University of Applied Sciences Upper Austria (Wels, Austria), University of Naples Federico II (Naples, Italy)

Partners | Goals | Labs members | Research Topics | History | Suniswell Research Activities | PhD Research Activities | Highlights | Recent Joint Publications

 

Partners

  • ISAE-Supméca, Paris, France
    IS2M research team, laboratoire QUARTZ (Prof. Choley)
  • University of Naples Federico II, Naples, Italy
    Computer Geometric Modelling and Simulation (COGITO) Lab (Prof. Patalano)
  • University of Applied Sciences Upper Austria, Wels, Austria
    SMART MECHATRONICS ENGINEERING Research Group (Prof. Hehenberger)

 

Goals

Founded in 2019, based on previous long-term scientific collaborations between three international research teams, Suniswell’s mission is to propose Mechatronics Design in Research, Education and Knowledge Transfer to Industry. The three universities benefit from mutual exchange in the context of workshops, PhD courses, joint student projects, … and take research on Mechatronics Digitalization to the next level.

The cooperation leads to extensive projects on a European level together with industrial and academic partners.

 

The main focal areas of the cooperation are

  • “Agility-based Hybridization”
  • “Human-centric Design of collaborative workplaces for industry 4.0 and 5.0”
  • “Integrated sustainable design”
  • “Model-based Systems Enginering and Safety Assessment for Mechatronics”
  • “Digital Twin”

Lab Members

IS2M research team, laboratoire QUARTZ

ISAE-Supméca (permanents) :


  Jean-Yves CHOLEY

jean-yves.choley@isae-supmeca.fr

Jean-Yves Choley obtained a Master degree in Mechanics and Automation and a Master of Advanced Studies in automated manufacturing from ENS Cachan, France (recently renamed ENS Paris-Saclay). He obtained a Ph.D. degree of Industrial Engineering in 2005 from Ecole Centrale Paris, France (recently renamed CentraleSupélec), related to ISO GPS mechanical tolerancing and 3D metrology. He gained industry operational experience (1986-1988) in systems engineering and quality & reliability at Arianespace company, Kourou (French Guyana), France, working both on ground facilities and satellites launchers Ariane 1 to 4.

Professor at ISAE-Supméca, France, responsible of IS2M (Ingénierie des Systèmes Mécatroniques et Multiphysiques) research team of Quartz laboratory, he is in charge of research and teaching activities focusing mainly on tools, languages and methodologies for the collaborative design of complex systems such as mechatronic systems, CPS (Cyber-Physical Systems) and CPPS (Cyber-Physical Production Systems). In the past 10 years, he mainly focused on Model-Based Systems Engineering (MBSE), Model-Based Safety Assessment (MBSA) and the digital twin concept, together with multiphysics modeling for the collaborative design of safety critical mechatronic systems, such as autonomous vehicle and factory of the future production systems (4.0 and 5.0).


  Thierno DIALLO

thierno.diallo@isae-supmeca.fr

Conception et pilotage des systèmes cyberphysiques de production
Ordonnancement, Diagnostic à base de données
Supervision et Reconfiguration des systèmes de production

 


  Moncef HAMMADI

moncef.hammadi@isae-supmeca.fr

Associate Professor – HDR
ISAE-Supmeca, Saint-Ouen sur Seine, France
Laboratoire Quartz/ Mechatronics and Multiphysics Systems Engineering (IS2M) research team

 


  Faïda MHENNI

faida.mhenni@isae-supmeca.fr

Ingénierie Système basée sur les modèles (MBSE), Sûreté de fonctionnement (MBSA)
Intégration et cohérence MBSE-MBSA
Collaboration et partage des données de conception

 


  Dr. Ing. HDR (accreditation to supervise research) Olivia PENAS

olivia.penas@isae-supmeca.fr

Research engineer, Research Deputy Director
ISAE-Supmeca, Saint-Ouen sur Seine, France
Laboratoire Quartz/ Mechatronics and Multiphysics Systems Engineering (IS2M) research team

 


  Régis PLATEAUX

regis.plateaux@isae-supmeca.fr

Ingénierie Système basée sur les modèles (MBSE), Conception Agile
Modélisation et simulation de Systèmes complexes, mécatroniques et cyber et leurs jumeaux numériques
Traçabilité des conceptions et simulations, Cohérence des Topologies et des Interactions

 


  Nourhene ABDELJABBAR

nourhene.abdeljabbar@isae-supmeca.fr

Researcher-teacher

ISAE-Supmeca, Saint Ouen sur Seine, France

Quartz Laboratory / Mechatronics and Multiphysics Systems Engineering (IS2M) research team

  • Systems engineering : MBSE and MBSA
  • Topological modeling of multi-physical systems
  • Collaborative design : Category Theory
  • 3D modeling of mechatronic systems (CAO)

 


  Imane BOUHALI

imane.bouhali@isae-supmeca.fr

xxx

 


  Grégoire GALISSON

gregoire.galisson@isae-supmeca.fr

xxx


  Dipl.-Ing. Romain DELABEYE

romain.delabeye@isae-supmeca.fr

PhD student
ISAE-Supmeca, Saint-Ouen sur Seine, France
Laboratoire Quartz/ VAST-FM & IS2M teams

Computer Geometric Modelling and Simulation (COGITO) Lab

 


  Stanislao PATALANO

patalano@unina.it

Full Professor

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

Stanislao Patalano received the master’s degree in mechanical engineering cum laude at the University of Naples Federico II (UNINA) in 1997 and a PhD degree in Machine Design and Construction in 2001. From 1999 he was first Researcher and then Associate Professor of Design and Methods of Engineering Design. Since 2018, he is Full Professor of Design and Methods of Engineering Design. From 2011 to 2022, he was responsible for the research activities of the Dept. of Industrial Engineering within PON Projects DIGIPAT (Digital Pattern Product Development), ICOSAF (Integrated Collaborative Systems for Smart Factories) and H2020 Project ENERMAN (ENERgy-efficient manufacturing system MANagement). His research interests include CAD Methodologies and Knowledge-Based Engineering, Variational Analysis and Tolerance Design, Object Oriented Programming and Simulation, Mechatronic System Design.


  Ferdinando VITOLO

ferdinando.vitolo@unina.it

Assistant Professor

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

Ferdinando Vitolo is assistant professor of Technical Drawing and Concept Design of New Vehicles at the University of Naples Federico II. His major research interests are focused on System Engineering and Knowledge Based Engineering, Mechanical Design, Methodologies for advanced CAD modeling, Mechatronic systems, Object Oriented Programming. He was born in Salerno on 27 November 1985. He received his master’s degree in mechanical engineering (cum laude) from the University of Naples Federico II, in 2012. From 2012 to 2014 he has collaborated with the University of Naples Federico II on the National Project: « PON 01_1268, Digital Pattern Product Development; a pattern driven approach for industrial product design, simulation and manufacturing ». After his PhD in Industrial Engineering, in 2017, he won post-doctoral fellowship for activity research on « Human-robot collaboration: modelling and design of workplace and device.


  Andrea REGA

andrea.rega@unina.it

Post-Doc

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

Andrea Rega is a Postdoctoral Fellow at the Department of Industrial Engineering, University of Naples Federico II (UNINA). He is currently involved in EnerMan – ENERgy efficient manufacturing system MANagement – Horizon 2020 project, G.A. 958478, EU funded project that aims to allow the Factory of the Future to predict and manage its energy consumption in an efficient and autonomous way. During his Ph.D. in clinical and experimental medicine, his major research activities concerned the designing and manufacturing of patient-specific medical devices. His research interests include also Human-Robot Collaboration, Model-Based Systems Engineering, Digital Twin, and Modelling and Simulation of Mechatronic Systems. From 2019 to 2021, he worked on the National Project « PON ARS01_00861 – Integrated Collaborative systems for Smart Factory (ICOSAF) » in collaboration with the Fraunhofer J-Lab IDEAS, Dept. of Industrial Engineering – University of Naples Federico II. He is the author of several journal papers and communications in international conferences. He was appointed as a member of the Italian Society of Biomechanics in Orthopedics and Traumatology (SIBOT) and the Italian Association of Design Methods and Tools for Industrial Engineering (ADM). He is also a member of the SUNISWELL research group born from the cooperation between FHOO-WELS, ISAE-SUPMECA and UNINA.


  Agnese PASQUARIELLO

agnese.pasquariello@unina.it

PhD Student

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

Agnese Pasquariello is a Ph.D. student in Industrial Engineering at the University of Naples, Federico II. Her major research interests include Systems Engineering, Model Based Systems Engineering, Requirements Engineering and Modelling and Simulation of Mechatronic Systems. She received her master’s degree in mechanical engineering from the University of Naples Federico II, in 2019. Later she worked as manufacturing engineering in an aircraft company for a year. From 2020 to 2021 she collaborated with the University of Naples Federico II on the Project: « PON ARS01_00861, Integrated Collaborative systems for Smart Factory (ICOSAF) ».


  Francesco Giuseppe CIAMPI

francescogiuseppe.ciampi@unina.it

PhD Student

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

Francesco Giuseppe Ciampi received the master’s degree in mechanical engineering for Design and Manufacturing cum laude in 2022. Since the same year, he is a Ph.D. student in Industrial Engineering and his activities are part of a joint programme between the Cogito and Quartz laboratory. His research topics concern data-driven models enhanced by physical knowledge, human-robot collaboration in manufacturing and Augmented Reality interfaces. He also contributed to the development of an AR platform in the EnerMan H2020 project.

SMART MECHATRONICS ENGINEERING Research Group


  FH-Prof. Priv.-Doz. DI Dr. Peter Hehenberger

peter.hehenberger@fh-wels.at

Professor for Integrated Product Development and Head of the Smart Mechatronics Engineering Research Group
University of Applied Sciences Upper Austria, Wels, Austria
School of Engineering, Stelzhamerstraße 23, 4600 Wels, Austria


  Dipl.-Ing. Dominik Leherbauer

dominik.leherbauer@fh-wels.at

Research Associate
University of Applied Sciences Upper Austria, Wels, Austria
School of Engineering, Stelzhamerstraße 23, 4600 Wels, Austria


  Simon Merschak BSc MSc

simon.merschak@fh-wels.at

Research Associate and a PhD Candidate
University of Applied Sciences Upper Austria, Wels, Austria
School of Engineering, Stelzhamerstraße 23, 4600 Wels, Austria

 

Research Topics

New Context of Mechatronics and beyond

  • Industry 5.0 (including human-centric, cobotics)
  • Agile Transformation
  • EcoMechatronics
  • ..

AREAS

 

Processes

  • Digital product development
  • Simulation architecture
  • RFLP and Early V&V

Methodologies

  • Model-Based System Engineering (MBSE) for requirements definition and system architecting (functions, components, etc.) with a holistic view ;
  • Top Down, Bottom Up and hybrid methodologies for analyses and syntheses of complex systems architectures;
  • Architecture evaluation (metrics, multi-physics) ;
  • Agile design methods;
  • Ontologies based methods;
  • Model-based Safety Assessment (MBSA)
  • Modeling consistency in a multidisciplinary context, based on category theory and graphs theory ;

Modelling of Mechatronic Systems

  • Multiphysical Modelling
  • Optimization
  • System Models
  • Model Reduction
  • Model Consistency

 

Tools and languages

  • SysML language with Catia Magic tool (ex-Cameo System Modeler)
  • Dymola and OMEdit for Modelica multidomains and multiphysics modeling and simulation;
  • Digital twin development and usage
    • DT architecture;
    • Surrogate multiphysics modeling;
    • 3D modeling (Catia and 3D Experience);
  • Areas of applications and case studies:
    • Industry 4.0 (CPPS, Digital twin) and 5.0 (human centric, etc.)
    • Mechatronics Integration for Advanced Manufacturing
    • Mechatronic product design
    • Robotics, cobotics
    • UAV

 

 

History

  • Joint working activities since more than 10 years, with common research projects (LCM for example), master students’ internships, master courses…
  • 2019: Establishing SUNISWELL as a platform for official cooperation
  • Biannual workshop

 

 

PhD Research Activities

  • xxx

 

Other Significant Publications

  • xxx

Design of a multi-physics dynamic co-simulation architecture for a digital twin applied to an aircraft passenger seat test bench

Imane BOUHALI PhD Research

 

Abstract

The use of simulation from the beginning of a complex system design project becomes essential to ensure the quality of the proposed solution. However, it is necessary to be able to take into account and couple a heterogeneity of models often associated to different views of a solution in order to verify the performances of the system. The subject of this thesis is to realize a digital twin of the experimental test bench of an aircraft passenger seat developed by Safran Seats. This digital twin must be correlated to the functional and dysfunctional behaviors of the test bench to be able to make improvements of this test bench thanks to the emulation of its environment and the simulation of the digital twin which must remain faithful during the tests on the test bench, under real conditions of use and this by integrating an adaptive model in the digital twin.

 

Key words 

# Digital twin

# Testbench

# MBSE

# Multiphysics

# Development Cycle

Development of a multi-physics simulation methodology

Grégoire Galisson PhD Student 

 

Abstract

The design of electronic equipment involves different stages of development, from the macroscopic definition of elementary functions to the final qualification test. At these different stages, many critical decisions have to be made. They must be based on an in-depth analysis of all the physical phenomena that govern the operation and life of the product. Simulation allows us to study these phenomena in greater or lesser detail and to improve the designs in relation to them. The numerical models must provide a system and multiphysics vision of the equipment as early as possible in the course of our developments in order to better orientate the design of our products. The objective of the thesis is to set up a methodology for the construction of multiphysics simulations. The objective of the thesis is to set up a methodology for the construction of multiphysics simulations. To answer this problem, two main axes must be treated.  The organisational axis, from the specifications of the system to be modelled and the needs of analysis, a specification of the models are declined (inputs/outputs of the model, functional and environmental fields of application, physics in play, exchange formats between physics, temporal aspects and tools). The modelling axis, the notion of multiphysics modelling implies the coupling between different domains, the coupling of reduced models within a system modelling opens the possibility of a multiphysics system platform.

 

Keywords

# Multiphysics

# MBSE

#Simulation

# Methodology

# System Engineering

Unsupervised synthesis of interpretable multiphysics energy models from non-intrusive sensor data

Romain Delabeye, PhD Student  

QUARTZ – ISAE-Supméca (FRANCE) 

Suniswell contribution : Scalable Identification, Verification and Validation of Scientific Approaches on Heterogeneous Systems in a Sustainable Manufacturing Context

 

Abstract

With the ever-increasing complexity of Industry 4.0 systems and factory energy management requirements, energy management systems (EnMS) have drawn much attention in recent years. A trend reinforced by the recent energy crisis. In this context, the EU-funded EnerMan project develops an antonomous and holistic EnMS, or « Energy Digital Twin », extensible to the whole manufacturing industry. This EnMS suffers from the lack of models for the cyber-physical production systems (CPPS) factory pilots operate within their plants. The contribution of this thesis is thus twofold: (i) learning interpretable multiphysics energy models from sensor data, and (ii) develop a methodology to ensure the applicability, extensibility, verification and validation of scientific approaches from laboratory systems to industrial use cases.

Focusing on the latter aspect, an MBSE analysis made it possible to specify and position this research in the context of the project. With 22 academic and industrial project partners spread over 10 countries, this approach allowed to identify interactions between research teams, research topics and techniques, as well as technological building blocks to develop.

Furthermore, verification and validation (V&V) should be thought – from the earliest design phases – as applicable to all targeted use cases (beyond the ones that are the most accessible) and similar applications. In practice, V&V activities encounter multiple difficulties: wide domain of application, low availability of the industrial systems, cost of experiments, time required to implement reliable V&V processes. With a view to cope with these limitations, an automated and scalable V&V process for heterogeneous systems and applications was developed. An ontology was designed to formally represent the use cases and scientific approaches to be validated. This methodology leverages reasoning to assess the extent to which such a scientific approach can be verified on a laboratory system (selected using semantic similarity with respect to the industrial use cases) different from the industrial scenarios on which it must finally be validated. A recommendation system (pinpointing missing components or interactions) was designed to augment the systems so as to increase the degree of validation of the studied scientific approach and its ability to scale to other use cases.  This methodology was extended to assess the applicability of an EnerMan component to an industrial use case. This approach, coined WONKA, has been implemented and tested upon a laboratory system (instrumented automatic coffee machine) and industrial use cases (a vehicle testbed’s heating, ventilation and air conditioning system, and a chocolate production line).

 

Keywords

# Verification & Validation

# MBSE

# Ontology

# Scalability

# Energy Sustainability

# Heterogeneous Systems

# Knowledge Representation and Reasoning

 

Digital Twin Core: Multi-physics Modelling of Sustainable Aircraft Systems

Pasquariello Agnese, PhD Student

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

 

Abstract

The main goal of the PhD research activity is to develop a methodology for the integrated design of on-board hybrid or electric aircraft systems. The methodology will be applied and tested for the design of a Liquid Hydrogen Storage System (LHSS) and its integration in a new regional civil aircraft of 90 seats. The methodology will include processes, methods and tools based on Model Based Systems Engineering (MBSE) approach. In particular, the research activity will focus on the usage of Requirements, Functional, Logical and Physical approach to support the design of the LHSS. Finally, the research activity will integrate the Digital Twin key features into the developed methodology aiming to combine physical systems with digital models through advanced sensors and communication networks.

 

Keywords

# Model Based Systems Engineering

# Hydrogen Aircraft

# Requirements Traceability

# Integration

# Digital-Twin

AI-based forecasting models applied to industrial energy-intensive context. Integration of prediction systems within the development of AR-based platform for energy sustainability awareness and Life-Long Learning

Francesco Giuseppe Ciampi

University of Naples Federico II, Department of Industrial Engineering, Fraunhofer Joint Laboratory IDEAS (Interactive DEsign And Simulation), P.le Tecchio 80, 80125 Naples, Italy

 

Abstract

The main goal of the PHD research activity is to investigate the use of data-driven models for energy consumption forecasting in industrial contexts and, at the same time, to find alternative ways of visualising this information that would allow the operator, on the one hand, to be more aware of the energetic aspects, while, on the other hand, to remain in contact with the surrounding environment. In terms of forecasting models, this study focuses on the AI-based approaches, an increasingly common solution, especially for its potential in terms of modelling non-linear problems. It also tries to find a solution to the main problem of black box models, which is the physical interpretation. For the visualization, instead, Augmented reality represents a particularly suitable approach, and the aim is to investigate its potential and limitations both from a functional point of view, such as real-time data visualisation or interactivity, and from an ergonomic point of view, such as cognitive load.

 

Keywords

# Artificial Intelligence

# Extended Reality

# Energy sustainability 

Development of a method framework for the carbon footprint calculation of small powertrains in the early development phases

Simon Merschak, PhD Student 

University of Applied Sciences Upper Austria, Wels, Austria

 

Abstract

Main Research Questions :

  • How strong is the influence of different life cycle phases on the product carbon footprint when alternative powertrain concepts are used?
  • What data is required for the carbon footprint calculation of powertrains?
  • What possible data sources are available in companies? 

 

Keywords

# Life Cycle Assessment

# Conceptual Design

# Product development

Highlights

  • International Suniswell Workshops on SMART MECHATRONICS ENGINEERING 2019, 2020, 2021, 2022, 2023 Wels, (with location), with links to each workshop poster (see Andrea)
  • PhD short courses list
  • Internship (a list of previous internships, with names of students and title of activity)
    • Francesco CIAMPI (Febraury 2022 – June 2022)
      • Development of a prediction tool for energy consumption of a workshop
    • Agnese PASQUARIELLO (March 2018 – July 2018)
      • Model Model Consistency Analysis for Mechatronic Systems Design
    • Marco BIRRA (March 2018 – July 2018)
    • Alessia IODICE
    • Alessandro ESPOSITO
    •  

 

Recent Joint Publications

  • Mhenni F., Vitolo F., Rega A., Plateaux R., Hehenberger P., Patalano S., Choley J.-Y. (2022): “Heterogeneous Models Integration for Safety Critical Mechatronic Systems and Related Digital Twin Definition: Application to a Collaborative Workplace for Aircraft Assembly”, Appl. Sci. 2022, 12, 2787. https://doi.org/10.3390/
  • Mule S., Hehenberger P., Plateaux R., Penas O., Patalano S., Vitolo F. (2021): “An approach and an illustrative case study for a hybrid development process in mechatronic system design”, Int. J. Product Lifecycle Management, Vol. 13, No. 3, 2021 265-289
  • Hehenberger, P., Leherbauer, D., Penas, O., Delabeye, R., Patalano, S., Vitolo, F., … & Katrakazas, P. (2023). Holistic System Modelling and Analysis for Energy-Aware Production: An Integrated Framework. Systems, 11(2), 100.
  • Plateaux, R., Penas, O., Mule, S., Hehenberger, P., Patalano, S., & Vitolo, F. (2020, October). SCRUM++ Framework concepts. In 2020 IEEE International Symposium on Systems Engineering (ISSE) (pp. 1-8). IEEE.
  • Mule, S., Plateaux, R., Hehenberger, P., Penas, O., Patalano, S., & Vitolo, F. (2020). A new agile hybridization approach and a set of related guidelines for mechatronic product development. In Product Lifecycle Management Enabling Smart X: 17th IFIP WG 5.1 International Conference, PLM 2020, Rapperswil, Switzerland, July 5–8, 2020, Revised Selected Papers 17 (pp. 618-633). Springer International Publishing.
  • Mhenni, F., Penas, O., Hammadi, M., Choley, J. Y., & Hehenberger, P. (2018, April). Systems engineering approach for the conjoint design of mechatronic products and their manufacturing systems. In 2018 Annual IEEE International Systems Conference (SysCon) (pp. 1-8). IEEE.
  • Barbedienne, R., Penas, O., Choley, J. Y., & Hehenberger, P. (2019). Modeling framework for a consistent integration of geometry knowledge during conceptual design. Journal of Computing and Information Science in Engineering, 19(2).
  • Plateaux, R., Penas, O., Barbedienne, R., Hehenberger, P., Choley, J. Y., & Warniez, A. (2017). Use of technologically and topologically related surfaces (TTRS) geometrical theory for mechatronic design ontology. Computer-Aided Design and Applications, 14(5), 595-609.
  • Penas, O., Plateaux, R., Patalano, S., & Hammadi, M. (2017). Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems. Computers in Industry, 86, 52-69. https://doi.org/10.1016/j.compind.2016.12.001.
  • Warniez, A., Penas, O., Choley, J. Y., & Hehenberger, P. (2016). Metrics Generation Process for Mechatronics. Journal of Robotics and Mechatronics, 28(1), 50-60.
  • Plateaux, R., Penas, O., Hehenberger, P., Hammadi, M., Mhenni, F., Warniez, A., & Choley, J. Y. (2015, September). Needs for a 3D enriched ontology for mechatronic systems design. In 2015 IEEE International Symposium on Systems Engineering (ISSE) (pp. 253-260). IEEE.

 

Other Significant Publications:

  • 2 or 3 main publications of each individual lab.

 

[UNINA] Vitolo, F.; Rega, A.; Di Marino, C.; Pasquariello, A.; Zanella, A.; Patalano, S. Mobile Robots and Cobots Integration: A Preliminary Design of a Mechatronic Interface by Using MBSE Approach. Appl. Sci. 2022, 12, 419. https://doi.org/10.3390/app12010419

 

[UNINA] Rega, A.; Di Marino, C.; Pasquariello, A.; Vitolo, F.; Patalano, S.; Zanella, A.; Lanzotti, A. Collaborative Workplace Design: A Knowledge-Based Approach to Promote Human–Robot Collaboration and Multi-Objective Layout Optimization. Appl. Sci. 2021, 11, 12147. https://doi.org/10.3390/app112412147

 

[UNINA] Ottorino Veneri, Clemente Capasso, Stanislao Patalano, Experimental investigation into the effectiveness of a super-capacitor based hybrid energy storage system for urban commercial vehicles, Applied Energy, Volume 227, 2018, Pages 312-323, https://doi.org/10.1016/j.apenergy.2017.08.086.

 

 

 

[FHOOE] Hehenberger P, Habib M., Bradley D. (2022): „EcoMechatronics: Challenges for Evolution, Development and Sustainability”, Springer Berlin Heidelberg.

 

[FHOOE]  Zheng C., Wang Z., Qin X., Eynard B., Hehenberger P., Li J., Bai J., Zhang Y. (2021): “Integrated design for product–service systems: a focus on multi-disciplinary interface”, International Journal of Production Research, DOI: 10.1080/00207543.2020.1794077

 

[FHOOE] Einsiedler S., Mule S., Rau C., Hehenberger P., Roth K. (2022): “A macro-level process model for integrating agile approaches in the design of product-service systems”, International Journal of Agile Systems and Management, Vol. 15, No. 1, pp. 70-92

 

ENERMAN Project