Deviation

TECHNICAL DEFINITION

A Deviation is an unauthorized departure from a documented procedure, specification, or standard operating condition in a manufacturing or quality process, necessitating investigation, impact assessment, and potential corrective action.

BACKGROUND

Six Sigma (6σ) is a set of techniques and tools for process improvement. It was introduced by American engineer Bill Smith while working at Motorola in 1986.

SYNONYMS & ALIASES

• Non-conformance
• Variance
• Anomaly
• Discrepancy

USAGE NOTE

Minor deviations might be accepted with justification, while major ones often trigger a full investigation.

DEVELOPERS

Organizations developing technology related to Deviation.

• Siemens

  Siemens offers a wide range of industrial automation and digitalization solutions, including Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and quality management software that are crucial for detecting and managing deviations in manufacturing processes and product quality within Industry 5.0 frameworks.

• Rockwell Automation

  Rockwell Automation provides industrial automation, control systems, and information solutions, including MES and quality management software, which enable real-time monitoring and analysis to identify and address deviations in production, asset performance, and operational efficiency.

• SAP

  SAP's enterprise software, including SAP S/4HANA and SAP Digital Manufacturing, offers robust functionalities for quality management, production planning, and execution, allowing manufacturers to track, analyze, and resolve deviations from standard processes and quality specifications.

• AVEVA

  AVEVA offers industrial software solutions for process control, operations management, and asset performance management. Their platforms enable real-time data collection and analysis to detect operational deviations, predict equipment failures, and optimize production processes.

• GE Digital

  GE Digital provides industrial IoT (IIoT) and asset performance management (APM) solutions that leverage data analytics and AI to monitor industrial assets and processes, proactively identifying deviations that could lead to downtime, quality issues, or reduced efficiency.

• Dassault Systèmes

  Dassault Systèmes, through brands like DELMIA, provides manufacturing operations management (MOM) and virtual twin solutions that allow companies to simulate, plan, and execute production processes. This helps in predicting and preventing deviations before they occur and managing them effectively during operations.

• Augury

  Augury specializes in AI-driven machine health and performance monitoring. Their solutions detect subtle deviations in machine behavior through vibration and acoustic analysis, predicting potential failures and enabling proactive maintenance to prevent unplanned downtime and production deviations.

• Sight Machine

  Sight Machine offers an AI-powered manufacturing data platform that turns raw factory data into actionable insights. It helps manufacturers identify the root causes of deviations in quality, throughput, and other key performance indicators across their production lines.

• Honeywell

  Honeywell's industrial automation and process control systems, alongside their Connected Enterprise solutions, provide comprehensive tools for monitoring operations, managing quality, and detecting deviations from desired process parameters in real-time.