Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors

Abubaker Shagluf, Andrew Longstaff, Simon Fletcher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Manufacturing strives to reduce waste and increase Overall Equipment Effectiveness (OEE). When managing machine tool maintenance a manufacturer must apply an appropriate decision technique in order to reveal hidden costs associated with production losses, reduce equipment downtime competently and similarly identify the machines’ performance.

Total productive maintenance (TPM) is a maintenance program that involves concepts for maintaining plant and equipment effectively. OEE is a powerful metric of manufacturing performance incorporating measures of the utilisation, yield and efficiency of a given process, machine or manufacturing line. It supports TPM initiatives by accurately tracking progress towards achieving “perfect production.”

This paper presents a review of maintenance management methodologies and their application to positional error calibration decision-making. The purpose of this review is to evaluate the contribution of maintenance strategies, in particular TPM, towards improving manufacturing performance, and how they could be applied to reduce downtime due to inaccuracy of the machine. This is to find a balance between predictive calibration, on-machine checking and lost production due to inaccuracy.

This work redefines the role of maintenance management techniques and develops a framework to support the process of implementing a predictive calibration program as a prime method to supporting the change of philosophy for machine tool calibration decision making.
Original languageEnglish
Title of host publicationProceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014
EditorsJosé Torres Farinha, Diego Galar
PublisherUniversidade de Coimbra
Pages111-118
Number of pages8
ISBN (Electronic)9789728954420
DOIs
Publication statusPublished - 2014
EventMaintenance Performance Measurement and Management Conference - Universidade de Coimbra, Coimbra, Portugal
Duration: 4 Sep 20145 Sep 2014
https://cemuc.dem.uc.pt/MPMM2014/ (Link to Conference Website)

Conference

ConferenceMaintenance Performance Measurement and Management Conference
Abbreviated titleMPMM
CountryPortugal
CityCoimbra
Period4/09/145/09/14
Internet address

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Calibration
Machine tools
Decision making
Costs

Cite this

Shagluf, A., Longstaff, A., & Fletcher, S. (2014). Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors. In J. T. Farinha, & D. Galar (Eds.), Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014 (pp. 111-118). Universidade de Coimbra. https://doi.org/10.14195/978-972-8954-42-0
Shagluf, Abubaker ; Longstaff, Andrew ; Fletcher, Simon. / Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors. Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014. editor / José Torres Farinha ; Diego Galar. Universidade de Coimbra, 2014. pp. 111-118
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Shagluf, A, Longstaff, A & Fletcher, S 2014, Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors. in JT Farinha & D Galar (eds), Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014. Universidade de Coimbra, pp. 111-118, Maintenance Performance Measurement and Management Conference, Coimbra, Portugal, 4/09/14. https://doi.org/10.14195/978-972-8954-42-0

Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors. / Shagluf, Abubaker; Longstaff, Andrew; Fletcher, Simon.

Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014. ed. / José Torres Farinha; Diego Galar. Universidade de Coimbra, 2014. p. 111-118.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shagluf A, Longstaff A, Fletcher S. Maintenance Strategies to Reduce Downtime Due to Machine Positional Errors. In Farinha JT, Galar D, editors, Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014. Universidade de Coimbra. 2014. p. 111-118 https://doi.org/10.14195/978-972-8954-42-0