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Automated active and idle time measurement in modular construction factory using inertial measurement unit and deep learning for dynamic simulation input

Published: 28 February 2022 Publication History

Abstract

Modular construction is gaining popularity in the USA for several advantages over stick-built methods in terms of reduced waste and time. However, productivity monitoring is an essential part to utilize the full potential of modular construction methods. This paper proposes a framework to automatically measure active and idle time at various workstations in modular construction factories, which essentially dictates the efficiency of production. This cycle time information can be used as inputs for dynamic prediction using simulation modeling. Vibration data were collected from workstations using inertial measurement units (IMUs), and a deep learning network was used to extract active and idle time from the vibration data. The result of this study showed that the proposed methodology can automatically calculate the active and idle time at various workstations with a 2.7% average error. This presents the potential of utilizing sensors and AI with simulation modeling for production monitoring and control.

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Cited By

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  • (2021)Efficient computation for stratified splittingProceedings of the Winter Simulation Conference10.5555/3522802.3522955(1-8)Online publication date: 13-Dec-2021
  • (2021)Multiple streams with recurrence-based, counter-based, and splittable random number generatorsProceedings of the Winter Simulation Conference10.5555/3522802.3522883(1-16)Online publication date: 13-Dec-2021

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            cover image ACM Conferences
            WSC '21: Proceedings of the Winter Simulation Conference
            December 2021
            2971 pages

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            • IIE: Institute of Industrial Engineers
            • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
            • SCS: Shanghai Computer Society

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            IEEE Press

            Publication History

            Published: 28 February 2022

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            WSC '21
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            WSC '21: Winter Simulation Conference
            December 13 - 17, 2021
            Arizona, Phoenix

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            View all
            • (2021)Efficient computation for stratified splittingProceedings of the Winter Simulation Conference10.5555/3522802.3522955(1-8)Online publication date: 13-Dec-2021
            • (2021)Multiple streams with recurrence-based, counter-based, and splittable random number generatorsProceedings of the Winter Simulation Conference10.5555/3522802.3522883(1-16)Online publication date: 13-Dec-2021

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