See how Oracle Cloud Maintenance can transform your maintenance processes with an integrated and intelligent enterprise asset management system that’s written for the cloud and designed for the Internet of Things (IoT).
Oracle Cloud Maintenance harnesses Industry 4.0 capabilities and uses predictive analytics to anticipate asset failure, estimate reliable lifespan, and generate actionable insights in real time.
Manage the entire lifecycle of your physical assets to achieve end-to-end visibility into your maintenance operations.
Access 360-degree view of the asset meter and asset hierarchy, and intelligently simulate operations with a digital twin.
Track any asset—whether enterprise owned or customer owned—anywhere, anytime, and achieve fast ROI.
Automate the process of creating and updating your asset information so you always have the most up-to-date and accurate information.
Extend capabilities with pre-integrated Oracle Fusion Cloud ERP and Oracle Fusion Cloud SCM applications.
Built-in IoT capability provides real-time visibility into asset health and utilization.
An integrated solution streamlines processes by connecting your maintenance, supply chain, and financial applications.
View statuses quickly, take action on the go, and manage work orders and exceptions effectively.
Enter material used and labor hours charged, complete inspections, and complete work orders with ease.
Use continuous analysis to optimize your maintenance strategies, including data-driven recommendations using the Oracle Internet of Things analytics platform.
Transfer transaction details and status updates to costing for accurate costing of maintenance work orders.
Drive resource utilization by effectively planning work orders with skilled resources.
Assign and schedule maintenance-skilled technicians to ensure work is performed on time and correctly.
Optimize asset uptime by forecasting and autoscheduling your preventive maintenance work.
Monitor material and labor costs throughout the entire lifecycle of the work order.
The work order cost accounting integration ensures cost accounting distributions are created in a timely fashion.
Analyze costs by asset, work order, or type of work, and get the insight you need to control material and resource costs.
Analyze work order charges and asset costs to determine a replace versus repair maintenance strategy.
Reduce your inventory carrying costs without compromising fill rates and customer satisfaction with automated replenishment.
Drive demand based on work orders, optimize inventory stock levels, and reduce inventory costs.
Quickly define the necessary master data for your organization hierarchy and process standards.
Manage lot and serial controlled inventory/asset items to support a comprehensive asset lifecycle, including rotables.
Optimize purchase agreements and quantities with your suppliers, enforcing policy and managing supplier risk.
Simplify your negotiation activities to automate and manage the bidding and sourcing process.
Increase efficiencies with a self-service procurement model that offers a consistent, user-friendly buying experience.
Get insight into your best suppliers, and choose suppliers based on quality, on-time delivery, and price.
A prebuilt integration with Oracle Internet of Things Asset Monitoring Cloud Service enables automated and continuous asset monitoring with rule-based alert warnings.
Track and locate assets in real time, and use built-in, configurable KPIs for asset health, utilization, and availability.
Detect early signs of asset failure with built-in asset reliability algorithms, and proactively service assets to increase their availability.
Get notifications, predictive insights on asset failures, and recommendations to prevent failures with machine learning algorithms.
Monitor production machines in real time to detect quality issues and enable predictive maintenance.
Improve customer satisfaction by monitoring assets so you can perform remote diagnostics and effective maintenance.
Transform assets into digital twins and monitor their health, location, and utilization with IoT Asset Monitoring.
Capture data needed for predicting asset lifespans, failure rates, and maintenance costs, including technician notes, chats, log files, meters, sensor readings, and counters.
Transform data so it can be readily combined with IoT data streams and readily digested by machine learning algorithms.
Predict when assets or parts will fail and provide optimal maintenance scheduling.
Enhance worker safety by monitoring workers and the environment with a built-in, IoT connected worker integration.
Ensure better quality output from well-serviced equipment.
Segment your maintenance and inventory operations to serve multiple projects in an organization.
Service multiple maintenance project contracts and invoice customers based on the project contract.
Create project-specific work orders, and issue components and subassemblies from common and project-specific inventory to the work order.
Capitalize costs collected from your supply chain against capital projects and create fixed assets.
Automatically generate recommendations to optimize maintenance scheduling and maximize machine uptime using AI.
Read the datasheet (PDF)
Leverage emerging technologies to optimize business processes and make data-driven intelligent decisions in real time.
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Competitive advantage comes from learning how to turn predictive analytics insight into prescriptive analytics action.
How to use predictive analytics for prescriptive maintenance
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