Utilizing Pareto Analysis and Anomaly Detection for Manufacturing Efficiency
One of the key challenges manufacturers face is identifying inefficiencies and minimizing production stoppages. In this blog, we will explore what Chokote is, its cost implications for customers, and how it utilizes anomaly detection and Pareto analysis to increase production efficiency for repetitive operations.
What is Chokote?
"Chokote" refers to minor stoppages in the manufacturing process, which are brief and frequent interruptions that can significantly impact productivity. These stoppages often fall under the broader category of micro-stoppages, which are usually less than 5* minutes but occur frequently enough to add up to considerable downtime over time. Examples of chokote include minor equipment jams, sensor malfunctions, and small adjustments operators need. Calculations indicate that Chokotes account for 12% of production stoppages.
* Depending on the facility, this period may vary between 0-10 minutes.
Understanding Pareto Analysis and Anomaly Detection
Pareto analysis is a statistical technique used to identify the most significant factors contributing to a particular outcome, based on the Pareto Principle. This principle states that 80% of effects come from 20% of causes. Pareto analysis helps prioritize improvement efforts in manufacturing by focusing on the most impactful issues. By visualizing data in Pareto charts, manufacturers can quickly identify and address the most critical problems affecting their operations.
Anomaly detection involves identifying data points, events, or observations that deviate significantly from the expected pattern within a dataset.
How to Identify and Manage Chokotes
Utilizing Anomaly Detection
Cycle Time Analysis: By analyzing cycle times, manufacturers can identify deviations that indicate chokotes. Automated systems can monitor cycle times in real time, detecting anomalies that suggest inefficiencies.
Real-time Monitoring: Implementing real-time monitoring systems using cameras and sensors can help detect chokotes as they occur, allowing for immediate corrective actions.
Implementing Pareto Analysis.
Tagging and Categorizing Issues: By tagging and categorizing each chokote, manufacturers can use Pareto analysis to determine which issues are most frequent and have the greatest impact on production.
Prioritizing Solutions: Pareto charts can help visualize which chokotes to address first, ensuring that efforts are focused on resolving the most significant issues.
Leveraging Khenda for Chokote Management
Khenda's Chokote Module leverages AI and video analytics to analyze manufacturing processes. This AI-powered software module is designed to identify inefficiencies and optimize operations. It effectively filters the results of live video analyses, providing detailed reports. This allows engineers to quickly identify necessary improvements to enhance efficiency.
Conclusion
Chokote, or minor stoppages, can significantly impact manufacturing efficiency. By utilizing anomaly detection and Pareto analysis, manufacturers can effectively identify and address these inefficiencies. Khenda provides a powerful toolset to automate this process, offering real-time insights and actionable data to enhance operational excellence. For any manufacturing company looking to optimize their operations, understanding and managing chokotes is crucial.
Contact Khenda for more information.