Maintenance Process Control: Cellular Automata Approach

Ouardouz, Mustapha; Bernoussi, Abdes Samed; Kassogué, Hamidou; Amharref, Mina

doi:10.1007/978-3-319-46909-6_26

Cited by 2 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider the cellular automaton model as used in [5] but in this work we perform the CA model evolution under the mutual action of an autonomous transition function with a feedback control as introduced in [6]. The approach consists on determining:…”

Section: Maintenance Process Control: Problem Approachmentioning

confidence: 99%

“…For the iteration 2 Remark. In the section 4.2 of [6], we have presented more illustrative simulations evolution per time step in order to illustrate how the states of the machines and technicians change for a given time horizon. Here, we follow by presenting the statistics of the output data as explaining above.…”

Section: Simulationmentioning

confidence: 99%

“…For that, we consider the model, proposed by Ouardouz et al in [5] in the autonomous case, and we perform a feedback control to optimize the assignment displacement of agents as we introduced in the proceeding [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Maintenance process control: cellular automata approach

Ouardouz¹,

Bernoussi²,

Kassogué³

et al. 2017

EAI Endorsed Transactions on Context-aware Systems and Applicat

Self Cite

View full text Add to dashboard Cite

In this work we consider an industrial maintenance process control problem using cellular automata approach. The problem consists on finding an optimal control for the assignment and the displacement of agents in a spatial area to maintain the equipments in good working state. The approach by cellular automata is based on: an operating statistics for determining the attributes of equipments and agents as the cells states factors; an optimal displacement of agents; an assignment of agents to equipments by Voronoi diagram as a control performing in a closed loop. The global state of the model evolves then under the mutual action of an autonomous transition function with the feedback control. We have designed in Java Object Oriented Programming a simulation software for real-time monitoring of the maintenance process scenarios in 2D and 3D scenes. The simulation results are for a production section of a factory in Tangier (Morocco).

show abstract

Section: Maintenance Process Control: Problem Approachmentioning

confidence: 99%

Section: Simulationmentioning

confidence: 99%