If what you're measuring doesn't impact one of those three P’s, why are you measuring it? Is it just data overload? You need to know the “why” behind each manufacturing leading indicator and what impact it has on the overall operation to determine whether it’s worth tracking.
Manufacturers should be leveraging real-time data that help them make informed decisions and take proactive steps to address any issues that arise. Now, let’s jump into discussing some top manufacturing KPIs.
Another people metric to measure is your turnover rate. The calculation for turnover rate is the number of departures (voluntary or involuntary) in a given period divided by the average number of employees in that same period times one hundred. The employee turnover rate benchmark in manufacturing is about 40%. To reduce turnover and improve employee retention, you need a plan in place for employees to receive the training and skills necessary to continue to evolve in their careers.
If you’re struggling with employee turnover, we can help you get the skilled workers you need today. Contact Skillwork to schedule an obligation-free consult call to learn how we can help right-size your staff and grow your business.
Now that we’ve looked at a couple of people manufacturing metrics that matter, let’s move on to performance.
The thing in the manufacturing world that probably gets more attention than anything is performance. You can start measuring manufacturing performance by tracking overall equipment effectiveness (OEE), downtime, and throughput.
OEE is a metric used to measure how effective a piece of gear is in a manufacturing facility. It takes into account three factors: availability, performance, and quality. When multiplied, these factors give you the percentage of time your plant is productive. By measuring OEE in real-time, manufacturers can quickly identify issues and take corrective action to prevent downtime and improve performance.
Production downtime (planned and unplanned) measures how long a factory's production lines aren’t operating during a specified time frame. Downtime has a large effect on plant performance. It’s a loss of valuable production time due to equipment failure, maintenance, or other factors. As a result, downtime can severely impact a company's bottom line if not controlled.
Throughput measures the amount of product a manufacturing facility produces in a given time frame. Manufacturers need to maximize throughput to meet customer demands and remain competitive. By analyzing and optimizing production processes, manufacturers can increase throughput and improve overall performance.
As you look at these manufacturing productivity metrics, you can start eliminating choke points or bottlenecks in the facility and identify where you can bring in automation technology to become more efficient.
At the end of the day, your people and performance drive profit, and businesses need to be profitable to survive. Therefore, manufacturers should also track financial KPIs like:
By doing so, manufacturers can ensure they make smart investments and manage costs effectively.
The point of this is: What are the manufacturing metrics that matter? What ultimate question are you trying to answer that will help drive your organization, improve the quality of life for your employees, and give you a competitive advantage?
Don't measure everything, measure the right things, whether it be efficiency or cost or profitability or compliance. It's far less important to measure everything than it is to measure the right thing. Taking a data-driven approach to operations allows you, the manufacturer, to work on the business, not in the business.
Thanks for joining us for another episode of The Skillwork Forum!