InfinityQS® International, Inc. (InfinityQS), the global authority on data-driven enterprise quality, announces updates to its native-cloud Quality Intelligence platform, Enact™. Ongoing, regularly scheduled, quarterly updates are designed to help InfinityQS' global manufacturing customers further drive process improvements at manufacturing sites and on production lines, and break through the clutter of data to make informed, strategic decisions that generate the biggest impact on quality, costs, and performance across their businesses.
Among the updates now available for Enact users, Data Stream Grading introduces a unique way for manufacturers to roll up, interpret performance of, and prioritise improvements of critical features. At a glance, users can quickly and easily determine which facility, product, or production line needs prioritised attention and then drill down to learn more about the individual processes. Enact automatically analyses individual data streams to provide a simple letter-number combination that represents both expected and potential yield for each critical feature. These individual stream grades can be rolled up to the part, process, and site level, painting a clear picture of overall process performance and potential for improvement.
Eric Weisbrod, Vice President of Product Management at InfinityQS, said, "Manufacturers are managing hyper-complex supply chains, with multiple sites and suppliers around the world. With each site and line supplying data around the clock, quality teams can feel like they are drowning in data without knowing what areas to prioritise. The new stream grading capability in Enact surfaces where the greatest opportunities for improvement lie, showing quality teams where to expend their resources and expertise. Quality professionals can thereby prioritize their actions and transform business performance at every level—from the individual plant across operations."
Additional updates and enhancements to Enact include the following:
• Event Codes enable manufacturers to capture a history of an event including things like problems, corrective actions, and any other relevant information to enable faster root cause analysis of issues. Users simply select from a pre-defined list of event codes, reducing errors, enabling analysis, and improving consistency. Notably, users can document multiple causes or actions taken during a process event to accurately capture important details.
• Production Assignments act like a production schedule to reduce the number of parts shown to an operator to only those that are currently in production. This eliminates the need to search through a list of all parts, and improves operator effectiveness by saving time and reducing errors. Operators can simply select an active process to display only the parts requiring data collection. If only a single part is running, no selection needs to be made.
• The Process Information Tile is a new tile for Enact dashboards. This interactive tile benefits users by allowing them to quickly check and update the status of manufacturing processes. Each process has its own sub-tile within the Process Information Tile with information on the process state, process events, current production assignment(s), and current shift(s).
• Data Collection Reporting - the Collected Data Pareto Chart is designed to give all users the ability to view collected data in a new, prioritised way. This benefits users that need to quickly determine which data collections have been performed, investigate issues, and drill down to see the entered values. Users can analyse manual data collections, checklists, and automated data collections using different levels such as site, data collection type, data collection name, employee, shift, and time.
• Sub-process Data Collection ensures proper data collection and analysis of manufacturing processes. Users that have complex processes will save time by reducing the number of selections they need to make. Data collected for sub-processes, such as fill heads, cavities, zones, or lanes, can be collected together at the process parent level. Sub-process data collection allows users to collect and analyse data on a wider range of equipment and sampling patterns (e.g., even, odd, etc.).
• Language Labels are customer-specific custom translations that enable global manufacturers to translate all custom-named items in Enact into English (U.S.), English (U.K.), Spanish (Mexico), German, or Vietnamese. Names of parts, processes, features, work instructions, and other fields can be displayed to users in their own language. Now manufacturers can develop a common product nomenclature worldwide while still allowing local workers to view Enact in their native language, improving adoption of a single, global quality solution.
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