Abstract

The paper presents a methodology and Decision Support System (DSS) for the establishment of spare parts criticality with a focus on industrial unplanned maintenance needs. The obtained criticality is used to rationalise the efficiency of the plant spare parts inventory. Through a top-down Failure Modes Effects and Criticality Analysis (FMECA) that is appropriately adapted to the unplanned maintenance requirements and through the introduction of the Component Dynamic Criticality concept, the components of an industrial production facility are ranked. For those with criticality lying above a calculated threshold, additional spares are suggested to be kept in the plant spare parts inventory. An application example demonstrates the method. [Received 14 May 2007; Revised 25 July 2007; Accepted 13 September 2007]

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.