Overview

This section provides description of the concepts used in Factory Resource Intelligence.

This table lists the Data Concepts for Factory Resource Intelligence content types:

Data Concept Description
Organizational Resource Defines a high level resource in the organization hierarchy. Possible types are the following:
  • Factory
  • Production Line
  • Workcenter
  • Warehouse
  • Pool
Resource Asset Defines equipment resource that takes part to the production process.
Productivity Displays the productivity status of a resource asset at a given time. In a given time range, a resource asset can have several successive productivity statuses with no overlap. Each productivity status contains a start time, an end time and a customer state code that must be map to a standard internal state. The internal state are the following:
  • Productive
  • Unscheduled Downtimes
  • Scheduled Downtimes
  • Unscheduled Production
Ideal Capacity Defines the ideal quantity of produced items per hour of a resource asset in given time range. Capacity can change over time according to current product being produced.
Reported Item Defines reporting of product quantities together with their quality (Good, Scrap, Fail) and their usage (Add, Remove, Produce, Handle).
Pivot Tables Enables reorganization of raw data to view them from different perspectives.
Semantic Graph Index (SGI) Repository that indexes ingested data in the shape of a graph. It can be considered as a graph oriented No SQL database.
Data Query In Netvibes context, a data query is a SGI query processed to build analytics and web services.
Overall Equipment Effectiveness (OEE) Measures manufacturing productivity and identifies the percentage of manufacturing time that is truly productive.
Total Effective Equipment Performance (TEEP) Indicates how much capacity could be improved by analyzing the unutilization of equipments. TEEP is OEE multiplied by equipment utilizations.
Mean Time Between Failures (MTBF) Defines the average time between system breakdowns. MTBF is a crucial maintenance metric to measure performance, safety, and equipment design. It is also used to determine the reliability of a resource asset.
Mean Time To Repair (MTTR) Defines the average time required to troubleshoot and repair failed resource asset. It reflects how quickly an organization can respond to unplanned breakdowns and repair them.