Digital twin enabled optimal reconfiguration of the semi-automatic electronic assembly line with frequent changeovers

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article number102343
Journal / PublicationRobotics and Computer-Integrated Manufacturing
Volume77
Online published19 Mar 2022
Publication statusPublished - Oct 2022

Abstract

The survival of original equipment manufacturers (OEMs) requires rapid responses to changing customer demands while keeping cost savings as their top priority. This paper proposes a Digital Twin (DT) enabled reconfiguration framework for the semi-automatic electronic assembly line with frequent changeovers. The DT platform develops an open architecture for the equipment and the assembly line to support its rapid physical reconfiguration, and a generalized knowledge encapsulation technique is applied to facilitate virtual reconfiguration. The dynamic performance is evaluated by max-plus semiring. Subsequently, an optimal reconfiguration algorithm via analytical target cascading, named minimal reconfiguration, is proposed to solve the coupled optimization of order scheduling, line balancing, and buffer allocation. A smart-phone assembly line is applied to verify the DT platform efficiency and minimal reconfiguration optimization approach.

Research Area(s)

  • Analytical target cascading, Digital twin, Max-plus semiring, Minimal reconfiguration, Open architecture, Semi-automatic assembly line

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