Development of framework for predictive maintenance in Indian manufacturing sector
| Autor: | Nishit Kumar Srivastava, Sandeep Mondal |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
020209 energy 02 engineering and technology 010501 environmental sciences Management Science and Operations Research Investment (macroeconomics) 01 natural sciences Preventive maintenance Industrial and Manufacturing Engineering Predictive maintenance Failure mode effects and criticality analysis Risk analysis (engineering) Management of Technology and Innovation Manufacturing Component (UML) 0202 electrical engineering electronic engineering information engineering Operations management Capital intensity Business Literature survey 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Services and Operations Management. 24:73 |
| ISSN: | 1744-2389 1744-2370 |
| DOI: | 10.1504/ijsom.2016.075764 |
| Popis: | Every machine degrades with time and requires maintenance. Among all types of maintenance policies, predictive maintenance is established as the best form of maintenance policy as numerous benefits are associated with it. Despite all the benefits, it finds restrictive usage in manufacturing companies. A literature survey reveals that limited funds is the major reason for restrictive usage of predictive maintenance, as predictive maintenance is capital intensive. In this paper, a predictive maintenance framework using predictive maintenance models with no investment on technology component is proposed for Indian manufacturing sector. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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