Increasing flexibility in consumer goods industry with the help of robotized systems

Karagiannis, Panagiotis; Zacharaki, Natalia; Michalos, George; Makris, Sotiris

doi:10.1016/j.procir.2020.01.039

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…The digital twin combined with virtual reality allowed engineers and operators to test various configurations and give feedback with realistic behavior of the manufacturing system. To test the increase in productivity of a new automation solution, Karagiannis et al [1] developed a discrete event system (DES) model. The simulation model offered the possibility of testing all the probable occurrences in the assembly line by manipulating the parameters in a risk-free virtual environment.…”

Section: Digital Twinmentioning

confidence: 99%

“…During the last few decades, remarkable scientific advancements in some digital technologies have led to new autonomous and self-regulated systems. These developments have increased the industry output capacity, but the growing variety and rising customer demand for individual or custom-made products at lower costs call for the design and operation of systems capable of handling this increasing variety of products [1]. This need to deliver products and services that best meet the individual customer's needs with mass production efficiency is the mass customization trend [2].…”

Section: Introductionmentioning

confidence: 99%

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Digital Twin of a Flexible Manufacturing System for Solutions Preparation

et al. 2022

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In the last few decades, there has been a growing necessity for systems that handle market changes and personalized customer needs with near mass production efficiency, defined as the new mass customization paradigm. The Industry 5.0 vision further enhances the human-centricity aspect, in the necessity for manufacturing systems to cooperate with workers, taking advantage of their problem-solving capabilities, creativity, and expertise of the manufacturing process. A solution is to develop a flexible manufacturing system capable of handling different customer requests and real-time decisions from operators. This paper tackles these aspects by proposing a digital twin of a robotic system for solution preparation capable of making real-time scheduling decisions and forecasts using a simulation model while allowing human interventions. A discrete event simulation model was used to forecast possible system improvements. The simulation handles real-time scheduling considering the possibility of adding identical parallel machines. Results show that processing multiple jobs simultaneously with more than one machine on critical processes, increasing the robot speed, and using heuristics that emphasize the shortest transportation time can reduce the overall completion time by 82%. The simulation model has an animated visualization window for a deeper understanding of the system.

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Section: Digital Twinmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital Twin of a Flexible Manufacturing System for Solutions Preparation

et al. 2022

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“…Industry 3.0 assumed that production processes would be subject to automation involving, among others, the use of industrial robots. The intended task of industrial robots is to take over some of the repetitive operations so far performed manually by humans [ 25 ]. In Industry 4.0, this idea has been taken further to the point where robots’ actions will no longer have to be programmed, but will be performed autonomously.…”

Section: The Application Of Amr In the Industrial Environment Of Industry 40mentioning

confidence: 99%

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study

Stączek

Pizoń

Danilczuk

et al. 2021

Sensors

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The contemporary market creates a demand for continuous improvement of production, service, and management processes. Increasingly advanced IT technologies help designers to meet this demand, as they allow them to abandon classic design and design-testing methods in favor of techniques that do not require the use of real-life systems and thus significantly reduce the costs and time of implementing new solutions. This is particularly important when re-engineering production and logistics processes in existing production companies, where physical testing is often infeasible as it would require suspension of production for the testing period. In this article, we showed how the Digital Twin technology can be used to test the operating environment of an autonomous mobile robot (AMR). In particular, the concept of the Digital Twin was used to assess the correctness of the design assumptions adopted for the early phase of the implementation of an AMR vehicle in a company’s production hall. This was done by testing and improving the case of a selected intralogistics task in a potentially “problematic” part of the shop floor with narrow communication routes. Three test scenarios were analyzed. The results confirmed that the use of digital twins could accelerate the implementation of automated intralogistics systems and reduce its costs.

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