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.