This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Product | Feature | Notes |
|---|---|---|---|
| 05 JUN 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
As an administrator, you can choose to import historical sensor and metric based data into Oracle IoT Production Monitoring Cloud Service, and use this historical data in IoT analytics artifacts, such as metrics, anomalies, predictions, and trends. For example, you may want to import pre-deployment sensor data and use it for training your anomalies and predictions.
Oracle IoT Production Monitoring Cloud Service lets you create and download a csv template for an entity (machine) type. The template can include the sensor and metric attributes that you wish to include in your data. You can then use the template to upload historical data for your entities (machines).
Incident Links in Rule Notifications
Your rule email notifications now contain a link to the corresponding incident making it easy to navigate to the incident details in the application.
Custom Data Analysis Time Windows for Dashboard Widgets
When creating dashboard widgets for metrics (KPIs), you can add custom time windows for your widgets. For example, you may want to see the pressure values for a machine 10 to 30 days before today.
Overall Preventive Maintenance Schedule Optimization
Enhanced maintenance schedule optimization suggestions prioritize minimizing overall delinquencies over individual machine failures.
So, for example, if you have multiple machines with high failure probabilities, the maintenance schedule optimization first works on minimizing overall delinquencies. It then focuses on reducing product delinquencies attributable to individual machines.
This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Feature | Notes |
|---|---|---|
| 20 MAY 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Create and Use Multiple Organizations
You can now create organizations in addition to the default organization. Organizations are digital placeholders for the various heterogeneous entities that you have in your business, the locations where these entities operate from, and the associated users of these entities.
For example, each organization can have its own factories, locations, machines, and users.
External integrations are currently supported for the default organization only.
You can use trends created for your sensor attributes or metrics as rule conditions to trigger incidents, warnings, asset actions, or alerts.
The rule condition can test for one or more Nelson Rules in the trend. When the selected trend occurs, the rule gets triggered.
When updating production output and actual quantities, the operator can specify additional details related to reject and scrap quantities:
- Reject Reason: The reason for rejection.
- Reject Details: Additional information related to the reject quantity.
- Scrap Reason: The reason for scrap quantities.
- Scrap Details: Additional information related to the scrap quantity.
This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Feature | Notes |
|---|---|---|
| 11 MAY 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Oracle Analytics Cloud Integration
Oracle Analytics Cloud integration is now available for both development and production environments.
Three-Way Integration Enhancements
You can now import machines from Oracle Maintenance Cloud in addition to importing machines and machine types from Oracle Fusion Manufacturing Cloud Service. In order to avoid duplicate machine types, Oracle IoT Production Monitoring Cloud Service requires you to specify a pre-existing machine type when importing machines from Oracle Maintenance Cloud.
Oracle IoT Production Monitoring Cloud Service now lets you test the connections when creating integrations.
When a machine or operator updates the production output, the details can include reject and scrap quantities in addition to actual, or good, quantities. You can also include additional details, such as the reasoning behind reject or scrap classification, and other reject and scrap details.
If you have integrated with Oracle Fusion Manufacturing Cloud Service, all these production output details are synced with Oracle Fusion Manufacturing Cloud Service.
The following new system metrics help track on-time delivery percentages for factories and machines:
- Factories On Time Delivery: Percentage of products in the factory that are delivered on time.
- Machines On Time Delivery: Percentage of products for the machine that are delivered on time.
This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date | Feature | Notes |
|---|---|---|
| 27 APR 2020 | Created initial document. |
This guide outlines the information you need to know about new or improved functionality in this update.
DISCLAIMER
The information contained in this document may include statements about Oracle’s product development plans. Many factors can materially affect Oracle’s product development plans and the nature and timing of future product releases. Accordingly, this Information is provided to you solely for information only, is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described remains at the sole discretion of Oracle.
This information may not be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. Oracle specifically disclaims any liability with respect to this information. Refer to the Legal Notices and Terms of Use for further information.
Rule configurations now provide an option to automatically delete resolved warnings.
You can also manually delete active and resolved warnings.
Pass Operator Name to Oracle Fusion Manufacturing Cloud Service on Outbound Sync
When updating the output quantities in Oracle Fusion Manufacturing Cloud Service, Oracle IoT Production Monitoring Cloud Service also passes the name of the user/operator who produced the quantities in a work order. This helps calculate efficiencies by identifying the quantities produced by each operator.