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 Process Management (PP-PI-PMA) Locate this document in the navigation structure

Purpose

You can use this component to coordinate the exchange of production-relevant data between the ERP system and the independent production level (of an external system). The production level can be controlled as follows:

  • Manually

    The planned production steps are carried out manually by the process operator

  • Automated

    The planned production steps are carried out automatically by the process control system.

  • Partially automated

    The planned production steps are carried out both manually by a process operator and automatically by a process control system

To settle a process order, the actual quantities produced and the time needed must be confirmed from production. Process management supports the direct confirmation from the PI sheet and process control system to the process order by sending process messages to predefined message destinations.

Implementation Notes

Install this component in process manufacturing companies.

Integration

If you want to

You also need

Exchange data between the ERP system and a process control system

  • PP - PI-PCS Interface

  • PP - SAP ODA (OPC Data Access )

Carry out quality inspections during production

QM - Quality Management

Post goods movements to inventory management

MM - Inventory Management

Create a batch during production orassign values to batch characteristics during production

LO - Batch Management

Send maintenance data to plant maintenance via the PI-PCS interface or using SAP ODA

PM - Plant Maintenance

Features

You can store production-relevant data either in characteristic-based process instructions or in XSteps in the process order . In the process instructions or XSteps, you specify whether the information is to be forwarded to a process operator or process control system.

Once the process order has been released for production and has been saved, the production-relevant data is combined in control recipes and sent to process management .

Process management receives the control recipes and sends them to the process operator or process control system responsible.

  • If a control recipe is sent to a process operator , the production data stored in the control recipe is prepared as text that is displayed as PI sheets on the screen. The process operator can then use the PI sheet to execute the production steps manually.

  • If a control recipe is sent to a process control system , the production data stored in the control recipe is sent as parameters to the production control system via the PI-PCS Interface or the SAP ODA The process control system processes the data to control and regulate production.

After the process operator or process control system has carried out the production steps, process messages containing the current production times and quantities are automatically created in the PI sheet or process control system .

The process messages with the reported data is first sent to process management where they are checked and passed on to the corresponding process message destinations provided the check was successful . In addition to applications, message destinations can also be people, programs, and machines.

In addition to this, process management comprises the message monitor and control recipe monitor , tools that you can use to monitor the processing status of messages and control recipes . Furthermore, message and control recipe logs document the processing status of messages and control recipes.

In unexpected situations, such as malfunctions, you can also create process messages manually in process management and send them from there.

The following summarizes the functions supported by process management:

  • Receiving control recipes from released process orders

  • Sending control recipes to process operators or process control systems

  • Preparing process instructions as texts so that they can be displayed and edited on the screen by the process operator

  • Receiving, checking, and sending process messages with actual process data

  • Monitoring process messages and control recipes

  • Manually creating process messages

This graphic is explained in the accompanying text.