As a supplier of collaborative robots (cobots), I often get asked how to measure the productivity of these nifty machines. Measuring cobot productivity isn’t just about numbers; it’s about getting a clear picture of how these robots are impacting your business operations. Let’s dive into some practical ways to do that. Collaborative Robot
The Basics of Productivity Measurement
First off, productivity is all about output. In the context of cobots, it’s the amount of work they can get done in a given time frame. But it’s not as simple as just counting the number of tasks completed. You’ve got to consider the quality of the work, too. A cobot that churns out defective products at a high rate isn’t really productive, even if it’s working fast.
One of the most straightforward ways to start measuring productivity is by setting up a baseline. Before you introduce the cobot to your production line, record how much work your human workers can do in an hour, a day, or a week. This gives you a point of comparison once the cobot is up and running.
Measuring Output Quantity
Let’s talk about output quantity. This is probably the most obvious metric. For example, if your cobot is used for pick – and – place operations in a warehouse, you can count the number of items it picks and places in a specific period. If it’s involved in assembly work, you can count the number of assembled products.
But here’s the thing. You need to make sure the counting is accurate. You can use sensors and software that are integrated with the cobot. Many modern cobots come with built – in monitoring systems that can track the number of operations they perform. These systems can also generate reports, which makes it easy for you to keep tabs on how much work is being done.
However, it’s important to account for downtime. Cobots, like any other machines, need maintenance and may encounter technical glitches. So, when you calculate productivity based on output quantity, make sure you subtract the time when the cobot isn’t working.
Evaluating Output Quality
Quality is just as important as quantity. A cobot that consistently produces high – quality products is more productive in the long run. You can measure quality in several ways.
One method is to use inspection stations. If your cobot is part of a manufacturing process, you can set up an inspection area where products are checked for defects. Keep a record of the number of defective products. A low defect rate indicates high quality and, therefore, high productivity.
You can also look at the precision of the cobot’s movements. For tasks like welding or machining, the accuracy of the cobot’s actions directly impacts the quality of the final product. Most cobots have specifications regarding their repeatability and positioning accuracy. Compare the actual performance of the cobot in your production environment with these specifications.
Measuring Downtime and Uptime
Downtime is the enemy of productivity. Any time the cobot isn’t working means lost output. One way to measure downtime is to track the frequency and duration of maintenance, repairs, and any unplanned stoppages.
Keep a log of when the cobot goes offline and for how long. Analyze the reasons for the downtime. Is it due to routine maintenance, a breakdown, or issues with the integration of the cobot into the existing production line? By understanding the causes of downtime, you can take steps to minimize it.
On the flip side, uptime is the time when the cobot is operational. A high uptime percentage means the cobot is available to do work. You can calculate uptime by dividing the total time the cobot is working by the total available time (excluding planned non – working hours). Aim for an uptime of at least 90% to ensure that the cobot is contributing effectively to your production.
Considering Labor Savings
One of the main reasons companies invest in cobots is to save on labor costs. To measure this aspect of productivity, compare the number of human workers needed before and after the cobot was introduced.
For example, if you used to have three workers doing a particular task, and now one worker can oversee the cobot while it does the bulk of the work, you’ve made significant labor savings. You can calculate the labor savings in terms of hours or dollars. Multiply the number of hours saved by the hourly wage of your workers to get a monetary value of the labor savings.
However, don’t forget about the cost of training the remaining workers to operate and maintain the cobot. This is a one – time cost, but it should be factored into your overall productivity calculations.
Measuring Flexibility and Adaptability
Cobots are known for their flexibility. They can be easily reprogrammed to perform different tasks. To measure the productivity in terms of flexibility, look at how quickly the cobot can be switched between different operations.
For example, if you need to change the cobot’s function from assembling one type of product to another, record how long it takes to reprogram the cobot, change the end – effectors (the tools at the end of the robot’s arm), and test the new setup. A shorter changeover time means the cobot is more flexible and can adapt to different production needs more quickly, which is a sign of high productivity.
The Impact on Overall Production Flow
The productivity of a cobot isn’t just about what it does in isolation. It also depends on how well it fits into the overall production flow. You need to look at how the cobot interacts with other machines, workers, and processes in your production line.
For instance, if the cobot is constantly waiting for materials or is causing bottlenecks in the production process, it’s not as productive as it could be. Analyze the flow of materials and information in your production line. Make sure that the cobot is integrated smoothly and that it doesn’t disrupt the overall rhythm of the production.
You can use value – stream mapping to visualize the production process and identify areas where the cobot can be optimized. This will help you to improve the overall efficiency of your production line and, in turn, increase the productivity of the cobot.
Continuous Monitoring and Improvement
Measuring cobot productivity isn’t a one – time thing. You need to continuously monitor and analyze the data to identify areas for improvement. Use the data you collect to set new goals and make adjustments to the cobot’s operation.
For example, if you notice that the cobot is experiencing a high rate of downtime due to a particular component failing, you can work with the manufacturer to find a more reliable solution. Or, if the quality of the output is dropping, you can review the programming and make adjustments to improve precision.
In conclusion, measuring the productivity of a collaborative robot involves looking at multiple factors, including output quantity, quality, downtime, labor savings, flexibility, and its impact on the overall production flow. By using a comprehensive approach to measurement and continuously working on improvement, you can ensure that your cobot is delivering the best possible results for your business.
Collaborative Welding Robot If you’re interested in learning more about how our collaborative robots can enhance your productivity or if you’re thinking about making a purchase, feel free to reach out. We’re here to help you find the right cobot solution for your specific needs and guide you through the process of implementing it in your production line.
References
- Boschert, S., & Rosen, R. (2016). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 83, 17 – 28.
- Dimos, J. K., & Roche, K. J. (2017). A literature review on robotic assembly: Trends in research and industrial applications. The International Journal of Advanced Manufacturing Technology, 90(1 – 4), 163 – 186.
- Laurel, V. D. (2017). Measuring productivity: A guide to productivity measurement. International Labour Office.
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