Nowadays, the major daily problems that encountered by many manufacturing companies are equipment
breakdown, repair, and quality defects. These problems have great impact on the quality cost and delivery time [1].
The quality of maintenance significantly affect the company profitability as 25- 30% of total production cost that is
attributed to maintenance activities in the plant [2]. Statistical Process Control (SPC) is the statistical method to
monitor and control the production performance as well as continuously improve the quality of the product [3]. The
purpose of SPC implementation is to improve the product quality, improve productivity, reduce wastes, reduce
defects and improve customer values [4]. Overall Equipment Effectiveness (OEE) measures how effective the
machine used for manufacturing in practically as opposed to in theory [5]. Availability, performance rate, and
quality rate are the three important parameters which form the product of OEE [6]. The six big losses such as
breakdowns, setup and adjustments, small stops, reduced speed, start-up rejects and the production rejects are the
main contribution that affect the performance the machines [7]. A case study has been conducted in XYZ tiles
manufacturing company in Pahang, Malaysia. This company manufactures and sells tiles and mosaics to worldwide.
The major problem of this company in the production process is low production productivity performance caused by
the high machine breakdown. The purpose of applying SPC in the process is to identify the significant defect and
reduce the process variations to consistently produce more conforming products whereas OEE is used as a key
performance indicator to measure the effectiveness of the machine. Total Productive Maintenance (TPM) is crucial
to maximize the utilization of the machine by eliminating breakdown, and promote Autonomous Maintenance (AM)
by operators through day to day activities involving total workforce.