Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system

Abstract

Under a mass individualisation paradigm, the individualised design of manufacturing systems is difficult as it involves adaptive integrating both new and legacy machines for the formation of part families with uncertainty. A systematic virtual model mirroring the real world of manufacturing system is essential to bridge the gap between its design and operation. This paper presents a digital twin-driven methodology for rapid individualised designing of the automated flow-shop manufacturing system. The digital twin merges physics-based system modelling and distributed semi-physical simulation to provide engineering solution analysis capabilities and generates an authoritative digital design of the system at pre-production phase. An effective feedbacking of collected decision-support information from the intelligent multi-objective optimisation of the dynamic execution is presented to boost the applicability of the digital twin vision in the designing of AFMS. Finally, a bi-level iterative coordination mechanism is proposed to achieve optimal design performance for required functions of AFMS. A case study is conducted to prove the feasibility and effectiveness of the proposed methodology.

Implementation of Digital Twin for Engine Block Manufacturing Processes

“…In order to provide the implementation methods of virtual-physical convergence and information integration for a factory, they used Automation Markup Language for modelling a structural parts machining cell. Liu et al [17] developed a DT-driven methodology for rapid individualized design of the automated flow-shop manufacturing system. Ding et al [18] presented the framework reference model of a DT-based Cyber-Physical Production System (DT-CPPS) and discussed in detail its configuring mechanism, operating mechanism, and real-time data-driven operations management.…”

Towards Digital Twin Implementation for Assessing Production Line Performance and Balancing

“…Nagarur and Azeem [22] studied how the part commonality and machine flexibility affected typical parameters of a manufacturing system (such as makespan, machine utilization, and factor productivity) by means of simulation. In [23][24][25], the authors present three DT-based methodologies for supporting the rapid design and the control of smart manufacturing systems, focusing also on the synchronization between the physical and the digital worlds.…”

Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

“…Karanjkar et al 22 implemented energy optimization in an Surface Mounted Technology-Printed Circuit Board (SMT-PCB) assembly line using IoT and digital twin technology. Liu et al 23 presented a digital twin-driven methodology for rapid design of manufacturing systems. Leng et al 24 presented a digital twin-driven manufacturing system for parallel controlling of smart workshop and addressed proactive decision-making for the organization and operation of manufacturing resource.…”

“…level Descriptions [17][18][19][20] Equipment Diagnosis, controlling, and optimizing the running mode of real equipments by interoperability between digital twin models [21][22][23][24] Manufacturing system…”