Manufacturing Operations Center Introduction

This chapter covers the following topics:

Manufacturing Operations Center Overview

Oracle Manufacturing Operations Center enables you to monitor and improve plant performance by analyzing real-time plant floor data. You can use Oracle Manufacturing Operations Center (MOC) to integrate different types of data sources. It uses manufacturing operations data to generate real-time dashboards and reports, and it allows you to:

Oracle Manufacturing Operations Center provides new capabilities to drive sustainability initiatives. Sustainability Aspect is a generic name used for continuous inputs consumed by companies to be able to operate and create goods or services. Common examples of sustainability aspects are electricity, gas, oil, water, helium etc.

Oracle MOC enables you to monitor energy usage, reduce waste, and reduce green house gas emissions to help executives and managers meet the social and legislative pressures to go green.

The Sustainability Sensor Data Management system of Oracle MOC helps in accelerating sustainability improvements of companies focusing on manufacturing, innovation, or services, and enables you to:

Oracle MOC enables you to convert highly granular tag data from devices into meaningful business data for reporting to business users such as Plant Managers and Operations Managers. Oracle MOC has a contextualization engine and functionality to define business meanings and processing rules for various types of tag data.

Technology Overview

Manufacturing Operations Center uses the following Oracle technologies:

Architecture Overview

The following diagram provides an overview of Oracle Manufacturing Operations Center's architecture:

the picture is described in the document text

The diagram describes the following:

Data Model

Oracle MOC data model complies with ISA-95 standards and is optimized for intelligence and integration. ISA-95 is a standard for Enterprises to control system integration that includes batch, continuous, and discrete industries. Managed by ISA (Instrumentation, Systems and Automation Society), ISA-95 defines terminology, functional requirements, and borrows or is based on PRM (Purdue Reference Model) for manufacturing. The Oracle MOC Data model is open and scalable for capturing user specific attributes and building custom hierarchies, etc. and lets you incorporate data collection for energy consumption, energy costs, emissions of multiple sustainability aspects (i.e. electricity, gas etc.). The data model's granularity accommodates measurement frequencies collected down to a minute's level in order to perform accurate analysis and energy contextualization.

Extensibility

Connectivity

Oracle MOC supports heterogeneous systems including device data and provides wide range of options for collecting shop floor data, directly from Programmable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA) systems, Meters, Sensors and Distributed Control Systems (DCSs). Oracle MOC leverages Oracle Data Integrator (ODI), the data warehousing tool to extract and process data. A concurrent program is used to process meter readings for sustainability aspect consumptions.

Prepackaging

EBS Adapters: Oracle MOC is prepackaged with EBS adapters Release 11.5.10, Release 12.0.6 , Release 12.1.3, and Release 12.2.

KPIs and Dashboards: Oracle MOC is prepackaged with more than one hundred forty metrics and role-based dashboards and reports.

Manufacturing Operations Center Instances

Typically, Oracle Manufacturing Operations Center (MOC) is installed locally at a plant location. There can be single or multiple plant installations. It can be installed on a server for a single plant or for multiple plants that are connected. A company may have several instances of Oracle MOC installed.

Consider the following example of a global manufacturing company with plants at two locations, in the U.S. and in India, and the U.S. has two different plant locations:

the picture is described in the document text

In this example, following options are available for installing MOC instances:

Option 1

With this option, plants are not grouped together and an instance of MOC is installed at each plant and organized at the plant level.

Option 2

With this option, plants are grouped by country. The plants at SFO and Denver have been grouped together into a single instance called USA.

Option 3

This option is a corporate installation for which all three of the individual plants are grouped into one instance called USA & India.

Source Data Time Zone

There is no out of the box data conversion for time zones.

Unit of Measure Conversion

There is no out of the box data conversion for unit of measure.

Currency Conversion

There is no out of the box data conversion for currency.