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

Autor: Héctor Rivera-Gómez, Oscar Montaño-Arango, José Ramón Corona-Armenta, Jaime Garnica-González, Eva Selene Hernández-Gress, Irving Barragán-Vite
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Applied Sciences, Vol 8, Iss 2, p 165 (2018)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app8020165
Popis: 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.
Databáze: Directory of Open Access Journals