As Peter Drucker, one of the founders of the study of modern management, once said, “if you can’t measure it, you can’t manage it.” Rather you agree with this statement or not, the practice of measurement, or expressing things, events, and ideas numerically, is only increasing in the way we run our businesses. Metrics are critical to Continuous Performance Improvement since they provide the frame of what exactly we’re working to improve. They also provide us a perspective on things that can be imperceivable through everyday experiences. Lets look at professional basketball for example. Witnessing every game in an NBA season is not only impractical, it’s not even possible for most of the people on earth. However, with a few good metrics, you can get a quick snapshot of an entire season in just a few minutes. This is no different if you’re an executive or manager of a manufacturing company with several areas of responsibility. Without good metrics, your ability to effectively prioritize and allocate resources is severely diminished, if not completely lost. In other words, metrics can tremendously improve management effectiveness.
With that said, metrics can also completely ruin your life if ineffectively applied. As technology continues to make it easier to capture data, more and more metrics appear. But all metrics are not created equal. It takes some skills to design metrics that actually drive performance and provide you with mission-critical information in a timely manner. In the realm of Continuous Improvement, metrics should serve one primary function: provide the timely process feedback needed to drive performance improvement. I often see companies heavily invested in metrics that don’t even come close to doing this. Consequently, these metrics quickly reach a point of diminishing returns and long outlive their usefulness; resulting in dysfunctional organizational behaviors.
The following are a few traits of dysfunctional metrics:
- Metrics that systematically exclude improvement opportunities – The way you measure productivity is crucial to how productive you will likely become. I’ve seen cases where efficiencies over 100% were being reported on a daily basis; yet operating costs and lead times were increasing for no good reason. This is a sign that key areas for improvement opportunity are being ignored by the efficiency metric. For example, many companies measure adherence to schedule to gauge their efficiency, which is usually based on the average historical production rates. This metric inherently drives a mentality of “let’s just try not to get worse.” This measure of efficiency fails to reveal opportunities to reduce process waste that could be resulting from planned and unplanned downtime, rate loss, yield losses or others. The gold standard for measuring manufacturing productivity is Overall Equipment Effectiveness (OEE). World class execution is considered 85%, which very few factories on earth have been able to achieve. Your metrics should show you how much better you could be and give you some insight into what to do to get better. If a factory is not using OEE, there’s a good chance they could make dramatic reductions in their operating costs and lead times. The best way to implement OEE is to use the fOS at http://factoryoperatingsystem.com. It’s free and does a great job of creating shop floor enthusiasm and excitement around your lean implementation and a culture of getting better every day.
- Vanity Metrics – These metrics only highlight how well the organization (or the reporting manager) is performing. They are very common and even seductive but have no place in a continuous improvement culture. Their whole purpose is to make people feel good but do not drive any real action or desire to make things better. One example of a vanity metric that I see everywhere is “Days Since a Recordable Incident”. While it’s vitally important to maintain a safe working environment, reporting this metric provides no insight to what specific opportunities exist to make the workplace more safe. As long as the number is “high enough”, everyone gets a pat on the back for not killing themselves today and go on without addressing any of the behaviors or conditions that will inevitably result in someone getting hurt. It also contributes to a culture of hiding injuries to protect the metric. A better metric would measure safe behaviors and conditions against perfection. For example, I’ve used safety audits that evaluate behaviors and working environments for any potential risk, then scores the results against well-defined criteria for a safe workplace. If someone does get hurt, the auditing criteria is modified to safeguard against the conditions that led up to the injury. This is an example of how metrics can incorporate organizational learning. The fOS has artificial intelligence that learns from you as you go. Standard run rates are updated automatically when you exceed the previously established rate for a product on a line. This continuously raises the bar and makes opportunities for improvement more easily identified.
- Long Reporting Intervals – Metrics designed for management should help you get better. If you are receiving a report weeks or even months apart, then you may go months before you even realize there’s a serious problem. Sure you can rely on people to be communicative and escalate issues informally, but we all know that this isn’t a reliable way to run a business. As a leader, ask yourself how long is too long before you are alerted of an issue. That should give you some insight to how frequently performance should be reported. The best systems are real-time with alerts for min-max performance thresholds. Other good systems report hour-to-hour at the line level, and day-to-day at the factory level. This allows for quick and resolute action on performance issues as they arise. The fOS automates these processes to ensure that you are the first to know when performance reaches unsatisfactory levels.
- Burden of Metrics – High-burden metrics create stress for the entire organization. Burden is considered the amount of time and effort required to acquire data, complete calculations, and report performance. Burden is suffered by the Line Operator who is incurring significant downtime to collect data, the Supervisor who has to constantly double-check and provide feedback to the Operator, and the Plant Manager who is constantly questioning the integrity of the metrics and requiring revisions / explanations. I’ve worked with factories that had Industrial Engineers spending over 20 hours per week collecting data and generating reports. This is a massive waste of time and talent; and very few people on the planet enjoy doing this. High-burden metrics don’t stick. As soon as the pressure lets off to keep producing the data or reports, they will gradually go away. The fOS employs a great data input design that only requires less than one minute per production run input. This not only engages the line operator with the Continuous Improvement system, it also performs all calculation and reporting functions automatically. The data goes straight from the shop floor to all internal stakeholders instantaneously.
The right metrics make all the difference in running a successful operation. The wrong metrics can send us down a path of dysfunction and actually make us more disconnected from what’s important. Your metrics should help you get better and instill a culture of Continuous Improvement. So to answer the question in the title: no, your metrics aren’t causing you to lose money. Being inefficient causes you to lose money but your metrics aren’t doing you any service if they aren’t giving you complete, real-time, and actionable information. A manufacturing efficiency expert such as those at Manuficient can help you develop or improve the quality of your metrics to ensure the right information is getting to the right people at the right time to reveal opportunities in your operation.
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