VII PHD ON THE GO ʽʽMARCO GARETTI'' INTERNATIONAL DOCTORAL WORKSHOP 2020 - INDUSTRIAL SYSTEM ENGINEERING AND OPERATION MANAGEMENT SSD ING-IND/17

VII PhD On The Go ʽʽMarco Garetti’’
International Doctoral Workshop 2020
   Industrial System Engineering and Operation Management
                     SSD ING-IND/17

                   University of Sannio
                      2-3 July 2020

Virtual
                   Time                              Event
                                                                                    Room

                                               Welcome Meeting
                                                   Introduction

PROGRAM                                     Prof. Matteo M. Savino
                                     University of Sannio, Organizing Chair

                                        Official Welcome and Greetings
                10:00 - 10:30                Prof. Gerardo Canfora                    1
                                        Rector of University of Sannio
JULY 2nd 2020                             Official start of the Meeting
                                     Prof. Emilio Ferrari – AIDI President
                                  Alma Mater Studiorum Università di Bologna

                                                    TRACK 1
                                Industrial System Engineering within Industry 4.0     1
                                            Chair Prof. Marco Bortolini
                10:30 - 12:00
                                                    TRACK 2
                                      Renewables and Energy Management                2
                                           Chair Prof. Riccardo Patriarca
                                                      BREAK
                                                    TRACK 3
                                  Industrial Maintenance and Machine Learning         1
                                            Chair Prof. Francesco Pilati
                14:30 - 16:00
                                                    TRACK 4
                                    Logistics and Supply Chain Management             2
                                           Chair Prof. Filippo De Carlo

Virtual
                                                   Event
                       Time                                                Room

                                              Keynote Speech

PROGRAM                               Digital Twins: Related Standards
                                              and Case Studies

                                        Professor Filippo Ciarapica
                    9:45– 12:00                                              1
JULY   3rd   2020                   Università Politecnica delle Marche
                                    Department of Industrial Engineering
                                        and Mathematical Science

                                    Seminar Available on Youtube Channel
                                           of University of Sannio

                    12:00 – 12:15          Working Groups set up             1

                    12:15 - 13:15             Group Working                1-2-3

                                                  BREAK

                    14:30 - 16:00             Group Working                1-2-3

                       16:00                 Workshop Closing                1

Group # 1
   Possible joint
     research
      topics

          Fabio Fruggiero   Francesco Pilati

                                               silvia.colabianchi@uniroma.it
Tutors:                                                      nsaporiti@liuc.it
                                                   michela.zambetti@unibg.it
                                                  sotirios.panagou@unibas.it
                                                    daniele.dadi@uniroma2.it

Data gathering & analysis for I 4.0 and Operation Management
  • Simulation model as replica of production plant or industrial process. Common topic shared between all different
    Phd thesis.
  • It seems that exist shared modeling approaches between CPS and human factor which could be adopted in both fields
    of research.
  • Digital twin (DT) as powerful tool to virtually represent products, processes or networks of different sectors.
  • Cyber physical system (CPS) as an enabling technology for DT.
  • DT can be used to populate databases for machine learning application even for not experienced and past event.
    Possible to virtually create portion of database with rare events.
  • DT is a very broad topic to be tackled during a PhD. A relevant suggestion is to further define its application to focus
    more in detail on specific field of research.
  • Shared background as well as technical competences to be adopted in different field of research as basis of mutual
    cooperation between PhD student: e.g. energy system field of study tackled with machine learning (ML) tools; barriers
    of DT adoption in SME Do not duplicate competences, invest in value added activities, properly manage time and
    resources: e.g. ML adoption in SME and DT to model the evolution of energy system.
  • Unpredictability and unforeseen events are very relevant aspects of all the PhD thesis. Desire to model them and to
    take them into account in different application. Uncertainty could be integrated into model using probabilistic
    approach (e.g. decisional tree) to face it properly.
  • Experimental campaign and on-field validation as requirement and necessity of all PhD thesis for practical and
    beneficial results of their research to real industrial problems.

Group # 2
   Possible joint
     research
      topics

          Filippo De Carlo   Marco Bortolini

Tutors:                                        alessandra.cantini@unifi.it
                                               l.lucantoni@pm.univpm.it
                                                        altortora@unisa.it
                                                     roberto.sala@unibg.it

Data gathering & analysis for SMART Maintenace
      Shared research approach

Group # 3
      Possible joint
        research
         topics

          Anna Cagliano   Riccardo Patriarca

Tutors:
                                               riccardo.aldrighetti@phd.unipd.it
                                                  mahsa.mahdavisharif@polito.it
                                               marialuisa.menanno@unisannio.it
                                                          letizia.tebaldi@unipr.it

Data gathering & analysis for Logistics and Supply Chain