The global competitiveness is driving industrial companies to pay more attention to the productivity of their industrial systems. As a consequence, maintenance is playing a crucial role to improve the availability and reliability of production facilities. The maintenance policy definition often requires good reliability knowledge and lots of data. In the last decade, while several scientific contributions have developed qualitative frameworks to help the choice of optimal maintenance policy, other ones have introduced different quantitative cost models related to each maintenance policy. This paper introduces and investigates a new quantitative framework to develop the optimal maintenance plan using several cost models based on simple but relevant costs, like spare parts, labour, missing production costs and other indirect costs, and main reliability parameters. At the end, several considerations about the new model and future researches are illustrated.

Quantitative Framework For Industrial Maintenance Policy Development

FACCIO, MAURIZIO;PERSONA, ALESSANDRO;SGARBOSSA, FABIO;ZANIN, GIORGIA
2011

Abstract

The global competitiveness is driving industrial companies to pay more attention to the productivity of their industrial systems. As a consequence, maintenance is playing a crucial role to improve the availability and reliability of production facilities. The maintenance policy definition often requires good reliability knowledge and lots of data. In the last decade, while several scientific contributions have developed qualitative frameworks to help the choice of optimal maintenance policy, other ones have introduced different quantitative cost models related to each maintenance policy. This paper introduces and investigates a new quantitative framework to develop the optimal maintenance plan using several cost models based on simple but relevant costs, like spare parts, labour, missing production costs and other indirect costs, and main reliability parameters. At the end, several considerations about the new model and future researches are illustrated.
2011
Proceedings of ICPR 21th, 21th Conference on Production Research, Stuttgart, Germany, July 31 - August 4 2011.
9783839602935
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2476959
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