What are the best ways to test automated and robotic systems in manufacturing?

1 Test objectives

Before you start testing, you need to define the objectives and criteria of your test. What are you trying to achieve, measure, or verify with your test? For example, you may want to test the performance, reliability, accuracy, or safety of your automated or robotic system. You may also want to test the compatibility, integration, or scalability of your system with other components or systems. Based on your objectives, you can select the appropriate test methods, tools, and metrics.

2 Test methods

Depending on your test objectives, you can choose from different test methods to evaluate your automated or robotic system. Simulation involves using software or hardware models to mimic the behavior and environment of your system, without affecting the actual production. This can help you test various scenarios, parameters, and conditions, as well as identify potential errors or failures. Verification checks whether your system meets the specifications and requirements that you have defined, while validation checks whether it meets the needs and expectations of the end-users or customers. Benchmarking compares your system with other systems or standards to measure its performance and efficiency, allowing you to identify its strengths and weaknesses, as well as the opportunities and threats in the market.

3 Test tools

In order to carry out your test methods proficiently, you need to use the right test tools and equipment. Sensors, controllers, and analyzers are some of the most commonly used tools. Sensors can detect and measure physical or environmental variables, such as temperature or pressure, and help you monitor and control the system's parameters. Controllers can regulate and coordinate the system's actions, based on input from sensors or other sources, allowing you to implement and adjust logic and algorithms. Moreover, analyzers process and interpret data from sensors or controllers, providing feedback and recommendations for evaluating and optimizing performance, as well as detecting any errors or failures.

4 Test metrics

To measure and report the results of your test methods, you need to use the appropriate test metrics and indicators. Quality metrics measure the degree to which your system meets the specifications, requirements, and expectations of the design, functionality, and usability. Examples include defect rate, accuracy, precision, or repeatability. Safety metrics indicate the degree to which your system prevents or minimizes risks of injury, damage, or loss to operators, customers, or environment. Examples include failure rate, availability, reliability, or maintainability. Efficiency metrics measure the degree to which your system uses resources and time optimally and effectively to produce desired output and outcome. Examples include productivity, throughput, cycle time, or waste reduction.

5 Test evaluation

After you perform your test methods, collect your test data, and measure your test metrics, you need to evaluate the results and outcomes of your test. This can help you compare the actual results with the expected ones, analyze errors or failures, assess the strengths and weaknesses of your system, and communicate and document your findings. Testing automated and robotic systems in manufacturing can be a complex and dynamic process; however, by following the best ways to test your system, you can ensure that it meets the highest standards of quality, safety, and efficiency while delivering the best value and benefits to customers and business.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?