Fuzzy early warning systems for condition based maintenance

Research output: Contribution to journalArticle

Abstract

Globalization and growing market competitiveness keep pressuring manufacturing firms to reduce costs and increase effectiveness, hence, improving condition based maintenance strategies may contribute to those aims. In this study we present a fuzzy early warning approach for improving pro-active Condition Based Maintenance (CBM) diagnostic strategies. The main objective is to provide early warnings on potential production line break-downs or other hazardous situations, enabling more informed decisions on maintenance strategies. To demonstrate the approach usefulness, an illustrative example of a car production line is discussed.

LanguageEnglish
Pages736-746
Number of pages11
JournalComputers and Industrial Engineering
Volume128
DOIs
Publication statusPublished - 1 Feb 2019

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Alarm systems
Railroad cars
Costs

Keywords

  • Condition based maintenance
  • Decision support
  • Fuzzy early warning system
  • Maintenance

Cite this

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title = "Fuzzy early warning systems for condition based maintenance",
abstract = "Globalization and growing market competitiveness keep pressuring manufacturing firms to reduce costs and increase effectiveness, hence, improving condition based maintenance strategies may contribute to those aims. In this study we present a fuzzy early warning approach for improving pro-active Condition Based Maintenance (CBM) diagnostic strategies. The main objective is to provide early warnings on potential production line break-downs or other hazardous situations, enabling more informed decisions on maintenance strategies. To demonstrate the approach usefulness, an illustrative example of a car production line is discussed.",
keywords = "Condition based maintenance, Decision support, Fuzzy early warning system, Maintenance",
author = "Nazanin Vafaei and Ribeiro, {Rita A.} and Camarinha-Matos, {Luis M.}",
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AB - Globalization and growing market competitiveness keep pressuring manufacturing firms to reduce costs and increase effectiveness, hence, improving condition based maintenance strategies may contribute to those aims. In this study we present a fuzzy early warning approach for improving pro-active Condition Based Maintenance (CBM) diagnostic strategies. The main objective is to provide early warnings on potential production line break-downs or other hazardous situations, enabling more informed decisions on maintenance strategies. To demonstrate the approach usefulness, an illustrative example of a car production line is discussed.

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