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This website uses cookies, similar technologies and tracking services (hereinafter referred to as “Cookies”). We need your consent for Cookies, which not only serve to technically display our website, but also to enable the best possible use of our website and to improve it based on your user behavior, or to present content and marketing aligned with your interests. For these purposes, we cooperate with third-party providers (e.g. Salesforce, LinkedIn, Google, Microsoft, Piwik PRO). Through these partners you can also receive advertisements on other websites.
If you consent, you also accept certain subsequent processing of your personal data (e.g. storage of your IP address in profiles) and that our partners may transfer your data to the United States and, if applicable, to further countries. Such transfer involves the risk that authorities may access the data and that your rights may not be enforceable. Please select which Cookies we may use under ”Settings”. More information, particularly about your rights, e.g. to withdraw consent, is available in our Privacy Policy .

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Ad-hoc Analysis

Ad-hoc analysis in manufacturing refers to the capability to perform spontaneous, on-the-fly evaluations of machine and process parameters without relying on pre-defined rules or models. This dynamic analysis is a core feature of iTAC Software's Manufacturing Analytics Control solution, enabling real-time identification and diagnosis of anomalies or deviations in operational data. Key benefits of ad hoc analysis include immediate anomaly detection, which allows for the quick identification of irregularities to maintain optimal production performance; real-time quality control, ensuring consistent product quality through continuous monitoring; and dynamic process optimization, which adapts processes in real-time to enhance efficiency and productivity. Additionally, it facilitates rapid troubleshooting and problem-solving, swiftly addressing and resolving issues to minimize downtime. Integrating ad hoc analysis with our iTAC.MA.Suite can significantly boost your manufacturing operations' efficiency by leveraging real-time data, AI, and machine learning capabilities.