Production and Maintenance Planning for a Deteriorating System with Operation-Dependent Defectives

This paper provides new insights to the area of sustainable manufacturing systems at analyzing the novel paradigm of integrated production logistics, quality, and maintenance design. For this purpose, we investigate the optimal production and repair/major maintenance switching strategy of an unrelia...

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Bibliographic Details
Published in:Applied sciences 2018-01, Vol.8 (2), p.165
Main Authors: Rivera-Gómez, Héctor, Montaño-Arango, Oscar, Corona-Armenta, José, Garnica-González, Jaime, Hernández-Gress, Eva, Barragán-Vite, Irving
Format: Article
Language:English
Subjects:
deteriorating systems
Deterioration
Failure
Integrated approach
Logistics
Maintenance
Manufacturing
Mathematical models
Operations management
Parameter sensitivity
Preventive maintenance
Product quality
Production capacity
Production planning
Productivity
quality
Repair
Sensitivity analysis
Stochasticity
Sustainable production
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Summary:This paper provides new insights to the area of sustainable manufacturing systems at analyzing the novel paradigm of integrated production logistics, quality, and maintenance design. For this purpose, we investigate the optimal production and repair/major maintenance switching strategy of an unreliable deteriorating manufacturing system. The effects of the deterioration process are mainly observed on the failure intensity and on the quality of the parts produced, where the rate of defectives depends on the production rate. When unplanned failures occur, either a minimal repair or a major maintenance could be conducted. The integration of availability and quality deterioration led us to propose a new stochastic dynamic programming model where optimality conditions are derived through the Hamilton-Jacobi-Bellman equations. The model defined the joint production and repair/major maintenance switching strategies minimizing the total cost over an infinite planning horizon. In the results, the influence of the deterioration process were evident in both the production and maintenances control parameters. A numerical example and an extensive sensitivity analysis were conducted to illustrate the usefulness of the results. Finally, the proposed control policy was compared with alternative strategies based on common assumptions of the literature in order to illustrate its efficiency.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8020165