Collecting and analyzing data is crucial to ensuring long-term productivity and sustainability of operations. Detailed manufacturing metrics facilitate the optimization of shop-floor assets, improve overall productivity, and protect the bottom line.
Without this critical information, manufacturers cannot identify which aspects of an asset’s operational efficiency and overall equipment effectiveness (OEE)—availability, performance, and quality—are lagging. As a result, companies fail to identify where inefficiencies and bottlenecks may be occurring, placing valuable production time and money at risk.
Protecting Your Bottom Line
Evaluating real-time how each asset on your plant floor is operating is essential to optimizing existing processes and achieving future growth goals.
Detailed reports identify whether a machine tends to be down more often than it’s in-cycle. If a machine constantly trends this way, it is not contributing to the efficiency of operations and may be doing more harm than good. Offline machines and repairs cost time, money, and ultimately disrupt production flow.
Inefficient machines and frequent production delays can quickly add up to tens of thousands of dollars lost.
FREEDOM® AI’s software suite includes e$CORE®, a feature that converts operational performance data into accurate cost and savings metrics, allowing companies to identify cost pitfalls on the shop floor. This information enables management to easily view manufacturing gains or losses (concerning dollars) and critical metrics—the amount of money saved or wasted on an asset. These reports help feed informed financial decisions that ultimately contribute to protecting your bottom line, and improving profitability and productivity.
Evaluating Historical Trends
Evaluating how assets have performed in the past can also help serve long-term operational sustainability. How an asset or facility performed five years ago, three years ago, one year ago, or even six months ago can reveal trends and provide a “big picture” view of your manufacturing history. This bigger picture can reveal where process or tools changes must be made to increase efficiencies moving forward.
Historical information can also identify potential causes of unwanted trends, and how outside factors might influence production. For example, discovering that bringing in four new machines at once created a temporary 25% decrease in productivity would inform a need to stagger the purchase of new machines in the future. Effects of other factors such as employee turnover or taking a while to fill positions could affect productivity and inform future decisions to counteract negative trends.
FREEDOM AI is one software solution that facilitates historical monitoring. It automatically extracts historical manufacturing data and produces web-based reports and analytics to provide a “bigger picture” view of shop floor trends. From the moment assets are connected to the software, it collects and reports on asset utilization, performance, availability, quality, and OEE. All asset metrics and reports are available in real time, 24/7, from any web browser.
FREEDOM AI customers report productivity improvements of up to 50% due to the detailed, real-time and historical manufacturing metrics and analysis provided by the software.
Looking to get more from your machines and boost productivity? Download your free trial of FREEDOM AI now!