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  2. Continued process verification - Wikipedia

    en.wikipedia.org/wiki/Continued_process_verification

    A framework for gathering and analyzing data of final product quality and process consistency. Analysis should include source materials consistency and manufacturing equipment condition; and data should be collected in a format that allows for long-term trend analysis as well as intra-production quality analysis.

  3. Failure reporting, analysis, and corrective action system

    en.wikipedia.org/wiki/Failure_reporting...

    Failure Reporting (FR). The failures and the faults related to a system, a piece of equipment, a piece of software or a process are formally reported through a standard form (Defect Report, Failure Report). Analysis (A). Perform analysis in order to identify the root cause of failure. Corrective Actions (CA).

  4. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

  5. Manufacturing execution system - Wikipedia

    en.wikipedia.org/wiki/Manufacturing_execution_system

    Manufacturing execution systems (MES) are computerized systems used in manufacturing to track and document the transformation of raw materials to finished goods. MES provides information that helps manufacturing decision-makers understand how current conditions on the plant floor can be optimized to improve production output. [ 1 ]

  6. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  7. Operational analytical processing - Wikipedia

    en.wikipedia.org/wiki/Operational_analytical...

    However, the characteristics that uniquely identify operational analytics is the requirement for quick predictions based on most recent signals. This means that the data latency and query latency are very small. For example, operational analytics applied to real time business processes specify that data latency be zero. It also means that ...

  8. Overall equipment effectiveness - Wikipedia

    en.wikipedia.org/wiki/Overall_equipment...

    Measuring OEE is a manufacturing best practice. By measuring OEE and the underlying losses, important insights can be gained on how to systematically improve the manufacturing process. OEE is an effective metric for identifying losses, bench-marking progress, and improving the productivity of manufacturing equipment (i.e., eliminating waste).

  9. Operational reporting - Wikipedia

    en.wikipedia.org/wiki/Operational_reporting

    Operational reporting is intended to support the day-to-day activities of the organization. Examples of operational reporting include bank teller end-of-day window balancing reports, daily account audits and adjustments, daily production records, flight-by-flight traveler logs and transaction logs.

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