Now open for application
Closed for application
C39.CU3.10

Manufacturing sustainability of production chains through Digital Twin

  • Reference person
    Michele
    Dassisti
    michele.dassisti@poliba.it
  • Host University/Institute
    Polytechnic of Bari
  • Internship
    N
  • Research Keywords
    digital twin;
    supply chain;
    life-cycle thinking
  • Reference ERCs
    PE8_7 Mechanical engineering
    PE8_9 Production technology, process engineering
    PE7_8 Networks, e.g. communication networks and nodes, Internet of Things, sensor networks, networks of robots
  • Reference SDGs
    GOAL 9: Industry Innovation and Infrastructure
    0
    GOAL 11: Sustainable Cities and Communities
  • Co-Supervisor

Description

The Digital Twin (DT) emulates the physical systems along its entire lifecycle phases utilizing real-time data to enable the users to predict instantly and respond to any issue in the system. A DT is defined as the cyber model that emulates the real physical objects by using sensor information, system models, input data, and communication capabilities to predict the system's performance and optimize it accordingly.The implementation of a digital model of the entire product life cycle, including the entire production chain upstream and downstream of the DFV painting company is the mail focus of the research theme. Part of the research activities will concern the methods to characterise the production chain to optimise manufacturing sustainability at all stages, by also endeavouring a real-time data acquisition system distributed throughout the production chain, in order to optimise control of the product life cycle through artificial intelligence techniques.This is a quite new problem, provided the not usual scale of concern, and this represents the true challenge of the PhD theme. System theory and complexity theory are two of the potential candidate for searching for adequate solutions to appropriately design and run a supply chain DT.

Suggested skills:

Simulation Theory; Engineering; Manufacturing Technology

Research team and environment

!ful professor (proponents); 2 associate profesores; 1 young researcher; 1 professionals with PhD for the Company