Industry solution scenarios

These scenarios are representative examples derived from DDX evidence, not real customer case studies.

• Food Manufacturing

  Typical problems

  Batch and lot traceability is tracked by hand, hygiene and downtime records are kept on paper, and scrap rates cannot be seen in real time.

  Relevant capabilities

  Production operations (work order, downtime, and scrap tracking), basic quality results, material consumption and variance tracking.

  Example KPIs

  OEE, scrap rate, downtime by reason, material variance.

  These scenarios are representative examples derived from DDX evidence, not real customer case studies.

• Plastics and Composite

  Typical problems

  Cycle time deviations on injection and extrusion machines go unnoticed, setup times grow longer, and resin consumption drifts from plan.

  Relevant capabilities

  Machine and line visibility, the performance component of OEE, material consumption and variance tracking.

  Example KPIs

  Performance (cycle time deviation), setup time, material variance.

  These scenarios are representative examples derived from DDX evidence, not real customer case studies.

• CNC and Metal Machining

  Typical problems

  The reason for a machine stop depends on operator memory, and there is no way to compare output by work order.

  Relevant capabilities

  Downtime tracking and downtime Pareto analysis, work order tracking, OEE.

  Example KPIs

  Availability, downtime Pareto, work order attainment.

  These scenarios are representative examples derived from DDX evidence, not real customer case studies.

• Machine Manufacturing

  Typical problems

  Across long and complex production processes, work order progress is not visible, and the link between cost and performance by product or project is tracked poorly.

  Relevant capabilities

  Work order tracking, plan versus actual comparison, and a narrow-scope product and R&D lifecycle application at a later stage.

  Example KPIs

  Production attainment, schedule deviation by work order.

  These scenarios are representative examples derived from DDX evidence, not real customer case studies.

• General Discrete Manufacturing

  Typical problems

  General visibility is missing; there is no central view of which line or machine is in which state.

  Relevant capabilities

  Factory, line, and machine overview, an executive dashboard, and alerts.

  Example KPIs

  OEE, active and stopped machine counts, critical alerts.

  These scenarios are representative examples derived from DDX evidence, not real customer case studies.