Industry 4.0 and Video Monitoring: a Multidimensional Approach Based on MPEG-DASH

Ghini, Vittorio; Casadei, Matteo; Borgo, Francesco Dal; Vincenzi, Nicolò; Prandi, Catia; Mirri, Silvia

doi:10.1109/ccnc.2019.8651683

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…The well-known trends towards automation and the one of industry 4.0 push to reconsider on a broader perspective the interplay of humans and machines for the space they share (Monostori et al, 2016) or environment where they collaborate (Kr€ uger et al, 2009). New technologies (Cecila et al, 2019;Ghini et al, 2019;Cao et al, 2019;Harari et al, 2017) and old/standard tools (Bi et al, 2011;Inasaki, 1998;Schwarz et al, 2018) can be exploited to automatically gather information about planned methods, real human behavior and times (e.g. setup time, assembly, manufacturing, material handling activities).…”

Section: The State Of Artmentioning

confidence: 99%

Automating the process of method-time-measurement

Fantoni

Alzubaidi

Coli

et al. 2020

IJPPM

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PurposeThis work reports on a developing method time measurement system for measuring manufacturing and assembly processes automatically. This automatic system enables the production engineers and management to detect, process, and display concise and accurate information about the operations in real time.Design/methodology/approachThis system is based on Internet of things technology and RFID-antenna. This methodology consists of seven main steps and one final optimization step. Mainly, the operator is equipped by RFID reader, and the work station tools and devices are provided by RFID tags. Responding the RFID tags to the reader will refer to the certain operations, the difference time between start and end of the operations will be collected immediately and calculated by the microprocessor of the system.FindingsThis automatic system is promising, considering the accurate time measurements and recommendations that obtained from the case study which includes measuring manual assembly operations to be followed in order to overcome the limitations which are not only technical but also managerial, legal and organizational.Research limitations/implicationsThe acquired data about timing and duration of individual operations are anonymized to guarantee the compliance with respect to the privacy laws (GDPR and Italian work's laws).Originality/valueThis work presents a unique system to measure the time instead of traditional methods in the factories environment and satisfies the requirements to study the recommendations in order to overcome the challenges.

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