{{ head.image.alt }}

Solutions

Oracle Fusion SCM Order Management

Oracle Fusion SCM is a comprehensive suite of cloud applications that covers the entire supply chain management lifecycle, from planning and procurement to manufacturing and fulfillment. Oracle Manufacturing Cloud is a key component of Oracle Fusion SCM that enables manufacturers to design and manage production processes, execute work orders, monitor shop floor performance, and leverage IoT data for predictive insights.

In this article, we will explore some of the features and benefits of Oracle Manufacturing Cloud, and how it can help you achieve operational excellence, reduce costs, and improve customer satisfaction.

Overview of Oracle Manufacturing Cloud

Oracle Manufacturing Cloud is a web-based application that supports both discrete and process manufacturing in the same plant, work center, or item. It empowers manufacturing engineers with intuitive tools to build a foundation of manufacturing plant data and design the production processes for items. It also provides production supervisors and operators with infolet-based work execution capabilities to manage work orders, track material availability, record operation completions, and handle exceptions.

Oracle Manufacturing Cloud integrates seamlessly with other Oracle Fusion SCM applications, such as Inventory Management, Cost Management, Quality Management, Maintenance, Planning Central, and Order Management. It also leverages Oracle IoT Production Monitoring Cloud to capture and analyze data from sensors and devices on the shop floor, and provide real-time visibility into production performance, quality issues, and equipment health.

Some of the key benefits of Oracle Manufacturing Cloud are:

  • Simplified production process design: You can create work definitions for discrete and process items using a graphical user interface or a spreadsheet. You can also import work definitions from external sources or generate them automatically based on item structures. Work definitions define the sequence of operations, resources, materials, and outputs required to produce an item. You can also create work definitions for assemble-to-order (ATO) models and configured items that allow dynamic selection of options and features at order time.
  • Flexible production management: You can create and manage work orders for discrete and process items using the Work Execution work area or a spreadsheet. You can also import work orders from external sources or create them automatically based on planning recommendations or sales orders. Work orders specify the quantity, priority, due date, and status of the items to be produced. You can also create work orders for contract manufacturing that involve outsourcing some or all of the production operations to a supplier.
  • Efficient work order execution: You can view and update work order information using infolets that display key metrics such as material availability, operation status, resource utilization, output quantity, scrap rate, and completion date. You can also record operation completions using various methods such as backflushing, manual entry, barcode scanning, or IoT data. You can also handle exceptions such as rework, scrap, reject, hold, or reschedule using predefined or custom actions.
  • Enhanced shop floor visibility: You can monitor production performance using dashboards that display key performance indicators (KPIs) such as throughput, cycle time, yield, utilization, downtime, quality rate, and overall equipment effectiveness (OEE). You can also drill down into the details of each KPI to identify root causes and take corrective actions. You can also leverage IoT data to track the location, status, and condition of assets and products on the shop floor.
  • Improved production insights: You can use Oracle Fusion SCM Analytics to access prebuilt reports and dashboards that provide insights into work order performance, shop floor efficiency, and plan-to-production processes. You can also create your own custom reports and dashboards using Oracle Analytics Cloud. You can also use Oracle Machine Learning to apply predictive models and algorithms to your production data and generate forecasts, recommendations, and alerts.