Introducing Manufacturing Analytics in Oracle Fusion SCM Analytics

The world of modern manufacturing is highly dynamic and presents numerous challenges, including fluctuating supply and demand, supply chain disruptions, unexpected production inefficiencies, and the ongoing need to identify optimal suppliers to manage order backlogs. The agility to make swift decisions and pivot strategies is crucial. But the lack of integrated insights integrated across operational data and key business systems hinders agility, making it hard to streamline the manufacturing ecosystem and obscuring both potential opportunities and threats.

Oracle Fusion SCM Analytics introduces the Manufacturing Analytics capability that provides manufacturers with timely insights into work order performance, shop floor efficiency, and plan-to-production processes. Connecting supply chain and manufacturing data all in one place, this new feature helps drive better access, actionable insights, and increased productivity.

Timely insights into work order performance

Analyzing work order data is very complex, and this makes it difficult to unearth trends or meaningful insights about performance, such as analyzing if cycle times are excessive or if manufacturers are meeting their order targets. By leveraging the comprehensive array of ready-to-use key performance indicators (KPIs) in Oracle Fusion SCM Analytics, manufacturers get a concise overview of work order execution, and they can easily discern patterns in manufacturing cycle times, as well as pinpoint the root causes behind deviations that influence overall output quality. Intuitive dashboards help answer questions like:

1. How much time does it take to produce my products?
2. How does actual time to produce compare against planned time?
3. What is the production yield for my plant?

This allows manufacturers to easily detect bottlenecks across manufacturing stages, helping preserve work order schedules and fostering a culture of analytics-driven continuous improvement.

Manufacturing Analytics Overview

Detect anomalies in product quality to take fast corrective action

Gathering accurate and timely data from various sources on the shop floor can be difficult, and inaccurate or incomplete data can contribute to misleading insights, hindering the effectiveness of analytics-driven improvements.

With prebuilt Manufacturing Analytics, plant managers can have a single shop floor overview to quickly identify patterns in scrapped, rejected, canceled, and reworked items. They can also easily deduce the reasons for waste, then quickly implement corrective measures. With easy-to-use self-service visualizations, shop floor managers can swiftly identify anomalies that impact product quality, answering questions like:

1. How is my quality of production?

2. What percent of items is being reworked?

3. How much do I scrap during production?

4. Is my plant reaching its targeted production output?

5. How many work orders are completed on time?

Product Quality Overview

 

See production impact across the entire plan-to-produce process

A significant challenge is the lack of consolidated insights across vital departments, from procurement and inventory to order fulfilment and sales. Such fragmentation makes it difficult to identify threats and opportunities that have a direct bearing on production.

Oracle Fusion SCM Analytics provides prebuilt unified data and analytics across manufacturing, procurement, inventory, financials, fulfillment, and sales, with the ability to easily include other data sources to get interconnected insights. With holistic supply chain analytics, production leaders can:

1. Predict how supplier performance, such as delayed deliveries and product defects, will affect production goals.

2. Get a clear understanding of how material and inventory costs influence margins.

3. Continuously monitor inventory patterns and stockouts to mitigate risks associated with part backlogs.

4. Proactively forecast potential disruptions stemming from supplier performance, helping to ensure production goals remain intact.

Plan-to-produce cross-departmental process 

 

Create a system of insights from Oracle Cloud Application data and external data sources

Monitoring work order statuses is challenging because the necessary data comes from various sources like equipment sensors, maintenance records, and different software systems. This diversity in data sources also complicates the organization and analysis of work order information, making it challenging for production managers to identify patterns and gain valuable insights about things like cycle time overruns or performance against ideal order goals. 

With Oracle Fusion SCM Analytics, plant managers can easily blend data from various sources to get a unified view of both IT and OT data. With a single view, they can understand the cause and effect of machine downtime on product quality or other critical production metrics, and they can see the root cause of variances in production processes to mitigate future risks. 

Source: oracle.com