Machine Performance Analysis and
Capacity Management

Problem Definition

In production lines, data regarding machine performance is often fragmented, incomplete, or lost in operational noise. This situation causes;

• The true capacity utilization rate being unknown,
• Efficiency losses remaining invisible,
• Unplanned downtimes becoming chronic,
• Erroneous investment and capacity decisions

to occur.

Therefore, machine performance management is not merely a maintenance or production issue; it is a strategic engineering problem that directly impacts profitability, delivery performance, and competitiveness.

Why Was the Analysis Conducted?

Machine efficiency is not an area that can be evaluated correctly by eye. Therefore, the analysis was designed around measurable, trackable, and verifiable engineering metrics rather than intuitive comments.

In this context:

• OEE (Overall Equipment Effectiveness) was defined as the main performance indicator,
• Availability, performance, and quality components were separated,
• Standard cycle times and theoretical capacity were defined for each machine.

Thanks to this approach, the problem was removed from being open to interpretation and made numerical and comparable.

Applied Method

In the analysis process conducted by the expert team:

• Machine-based production, downtime, and scrap data were collected,
• OEE components were calculated on a machine and shift basis,
• Planned and unplanned downtimes were separated,
• Loss types were classified based on root causes.

Analysis results were presented via the "Machine Performance Analysis" form defined for the company. By incorporating this form into the company culture, monthly checks were aimed.

Machine Performance Analysis Graph

Findings

Analysis outputs revealed the following critical results:

• Actual capacity remained at the 65% level,
• It was observed that the biggest reason for OEE losses was the arms on the machine not working fully due to incorrect planning.

These data show that the problem is not isolated; it is a structural performance management issue.

Importance of the Study and Achievements

• Machine performance became holistically measurable for the first time.
• True capacity and sources of loss became clear.
• Maintenance, investment, and planning decisions were made data-driven.
• An objective reference set was created for continuous improvement.

Machine performance management does not only mean an increase in efficiency; it means less investment need, higher delivery reliability, and sustainable profitability.

For more information, you can visit our Operational Excellence service page.