HOW WE HELP PROJECTS STAY CURRENT ABOUT US CONTACT Data Science at the service of production Anomaly detection for Predictive Maintenance Who were we working with? A Multinational Mechanical Manufacturing business, present in over 20 countries and with more than 10 production plants. The business has approximately 4000 employees. What was the challenge? The overall objective of the business was to become data-driven. The first challenge to overcome was to optimize the production lines and to detect abnormal behavior of the machines producing the mechanical components in real time to anticipate possible downtime on a production line. This was particularly challenging due to the high variety of machines and components made during the production processes. This variety makes it hard to find a ‘standard’ approach to detect the data patterns across all machines and production lines. What was our plan of action? Identify the best Machine Learning approach able to detect anomalies that can predict machines downtime. This approach is able to provide an anomaly score based on historical data collected (exploiting the collection system already put in place by the customer). Based on the anomaly score it is possible to identify a threshold above which the behavior can be classified as abnormal. Using a Machine Learning model, the output signals can be compared with the input signals. If the difference of this data exceeds a certain threshold, anomalies are detected. Each anomaly machining operation is displayed on a dashboard showing an overview of the plant which can be immediately seen by the relevant workers. This instant visibility and advanced knowledge empowers the teams to plan ahead and anticipate downtimes to make appropriate amends. The results Our client has seen significant advancement in the monitoring of the production lines. Thanks to this project our customer also achieved the following: Reduction in downtime caused by sudden stops Reduction in maintenance costs Increased understanding of machine use Optimized use of the production tools life time Optimization of spare parts Talk with us today! Discover how we can help you get the best out of your data CONTACT US PREVIOUS SUCCESS STORIES HOW WE HELPED LAVAZZA DELIVER A SINGLE VERSIO... .cls-1{fill:#2f3940;}.cls-2{fill:#f14148;} BitBang Srl Capitale Soc: € 60.000 C.F – P.Iva 02329121202 R.E.A. BO 431512 Privacy & Cookie Policy Cookie Preferences Where we are Via E. Mattei 102, 40138 Bologna (BO) Italy Via S. Marco 21, 20121 Milano (MI) Italy Work with us Join The Team! JOBS Stay informed Sign up for our newsletter. I have read and understood the Privacy Policy and its section 3.a. SUBMIT © Copyright 2021 BitBang All Rights Reserved. Cookie Policy This website uses technical cookies and, with your consent, first party and third-party analytical cookies to generate statistics and analysis about the use of the website. You can reject the use of analytical cookies using the “Reject All” button; otherwise you can give your consent using the “Accept All” button. If you wish to refuse all or some of the cookies, click the “Settings” button or the “Cookie Preferences” section. If you close this banner using the “x” (in the top right), you will able to continue to navigate the website and analytical cookies will not be installed. For more information please read our “Privacy and Cookie Policy” Settings Reject All Accept All