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A digital-twin based worker's work allocation framework for a collaborative assembly system
Pabolu V.K.R., Kulkarni M.S.,
Published in Elsevier B.V.
Volume: 55
Issue: 10
Pages: 1887 - 1892
Assigning the right task to the right worker remains a challenge to an assembly line manager. This work is proposed to use digital-twin technologies for Assembly line worker assignment and balancing problems (ALWABP) for a collaborative assembly system. Applications of the Internet of Things, Data analytics and Learning algorithms are proposed to estimate the worker's work skill and task performance. Assembly line Digital Twin and collaborative robot (CoBot) work simulation tools are proposed to estimate the CoBot's assembly task performing ability and execution time. ALWABP framework is proposed to optimize the work allocation between the worker and the CoBot. Assembly line digital twin is furthermore proposed to simulate the ALWABP output during the decision-making process of the assembly line manager by considering the Human-in-the-loop decision-making system. Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license.
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Published in Elsevier B.V.
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