Hypothetical reasoning approach for Automated Guided Vehicle action decision in Autonomous Decentralised Flexible Manufacturing Systems

Ramli, Rizauddin; Yamamoto, Hidehiko; Qudeiri, Jaber Abu

doi:10.1504/ijista.2009.026086

Cited by 1 publication

(2 citation statements)

References 27 publications

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“…In the second scenario, the materials handling system was defined a priori. Conversely, heterarchical control consists in applying the agent technology concept [30] to create flexible elements able to communicate and cooperate autonomously [35,41]. In this latter case, the assembly stations (first scenario) and the material handling systems (second scenario) were not defined a priori.…”

Section: Methodsmentioning

confidence: 99%

“…Other applications regard the time that trays in a manufacturing system take to reach a specific destination [39], the test-bed experimentation to compare hierarchical and heterarchical control [25], or even the application of centralized and heterarchical control on the Supply Chain to solve the bullwhip effect problem [40]. Also, the use of heterarchical control to forecast the actions of Automated Guided Vehicle (AGV) has been investigated considering AGVs as smart agents [41].…”

Section: Evolution Of Manufacturing Systemsmentioning

confidence: 99%

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Evaluating Centralized and Heterarchical Control of Smart Manufacturing Systems in the Era of Industry 4.0

Boccella¹,

Centobelli

Cerchione

et al. 2020

Applied Sciences

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In light of the Fourth Industrial Revolution, the concepts of flexibility and re-configurability of manufacturing systems and the evolution of their control architectures are becoming increasingly important. The development of Cyber Physical Systems (CPS) and their flexibility and integrated capabilities have paved the way to the transition from centralized control to heterarchical (decentralized) control architectures. In this paper, a comparison between centralized and heterarchical control architectures in a virtual learning environment is presented. The control architectures of the assembly station and the materials handling system of modern manufacturing systems have been conceptualized and tested under different working conditions. The results show that centralized control is the best solution only for deterministic and predictable scenarios, which are very far from reality, whereas, in case of failures, a more flexible control is preferable.

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Section: Methodsmentioning

confidence: 99%