Coupling Simulation and Optimization for an Integrated Production and Maintenance Planning in Manufacturing Systems

2009 ◽  
Vol 42 (4) ◽  
pp. 1091-1095 ◽  
Author(s):  
D. Bergeron ◽  
M.A. Jamali ◽  
D. Ait-Kadi
2019 ◽  
Vol 25 (2) ◽  
pp. 199-212
Author(s):  
Chibundo Princewill Nwadinobi ◽  
Bethrand Nduka Nwankwojike ◽  
Fidelis Ibiang Abam

Purpose The purpose of this paper is to propose a software (Equipment State Simulator) used for predicting equipment performance parameters required for maintenance planning. Design/methodology/approach This maintenance software was developed from the derived stable state probability models using algebraic substitution and computation of total operational period, number of breakdowns, total downtime, mean time between failures and mean time to repair of equipment/component(s) at preventive maintenance and corrective maintenance states. The models were derived using mechanistic modeling technique such that all the relevant variables were accounted for. Findings Analysis of this software revealed that its predictions reckon with the actual performance of the test specimens by about 99 percent. Originality/value The research proposes a maintenance model and software for predicting state probabilities of manufacturing systems degradation. This program also predicts maintenance action(s) required by the equipment based on the predetermined alert levels.


2013 ◽  
Vol 774-776 ◽  
pp. 1361-1368 ◽  
Author(s):  
Natália Horňáková ◽  
Helena Vidová ◽  
Martin Beluský

The paper deals with the issues of Slovak industrial enterprises in the field of Logistics and Manufacturing. The authors describe theoretical possibilities of improving manufacturing systems through the use of Kaizen, Simulation and Optimization. Authors also present results of the survey, which was conducted in Slovak industrial enterprises. The last part of the paper shows practical examples of improving manufacturing systems using different methods. The main aim of the paper is to summarise theoretical knowledge for the improvement of manufacturing systems through Kaizen and Optimisation by Simulation, compare results of the survey in Slovak industrial enterprises and finally suggest new approaches for industrial enterprises to improve their manufacturing systems.


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