Author(s)

Aslain Brisco Ngnassi Djami^1,2*, Wolfgang Nzié^1,2, Boukar Ousman³, Joseph Nkongho Anyi⁴, Ulrich Ngnassi Nguelcheu⁵

¹Department of Fundamental Sciences and Techniques of Engineer, Chemical Engineering and Mineral Industries School, University of Ngaoundere, Ngaoundere, Cameroon.
²Laboratory of Mechanics, Materials and Photonics, National School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon.
³Department of Electrical Engineering, Energy and Automation, National School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon.
⁴Laboratory E3M, Faculty of Industrial Engineering, University of Douala, Douala, Cameroon.
⁵Department of Physics, Faculty of Science, University of Ngaoundere, Ngaoundere, Cameroon.

The quest to increase the performance of production systems that have become complex leads to the transfer to the maintenance function of the responsibility of guaranteeing the availability of such systems. Also, we will never stop saying that maintenance must integrate into all of the company’s initiatives, to affirm its role, which is to ensure greater availability and sustainability of the means of production. The objective of this paper is to evaluate the reliability and availability of a system without knowing the distribution law of the operating times. Among the methods for evaluating dependability criteria (Fault Trees, Petri Nets, etc.), we are interested in queues that have the advantage of taking into account functional dependencies, thus allowing a quantified optimization of maintenance. Indeed, queues make it possible to model parallel or sequential processes, implementing operations taking place at the same time or one after the other, meeting the needs of modeling production systems. The main result of this paper is the study of the influence of availability on the reliability of a multi-state production system.

Markov Chains, Queues, Availability, Reliability, Maintenance

Djami, A. , Nzié, W. , Ousman, B. , Anyi, J. and Nguelcheu, U. (2024) A Maintenance Service Improvement Approach Based on Queue Networks: Application. Open Journal of Applied Sciences, 14, 425-440. doi: 10.4236/ojapps.2024.142030.