Smart Manufacturing

Smart Manufacturing

By utilizing cutting-edge technology like artificial intelligence (AI), cloud computing, and industrial IoT (IIoT), smart manufacturing improves the productivity and adaptability of conventional manufacturing procedures.

Smart Manufacturing Definition
"Fully-integrated, collaborative manufacturing systems that respond in real time to meet changing demands and conditions in the factory, in the supply network, and in customer needs" is how the National Institute of Standards and Technology (NIST) describes smart manufacturing.

Cloud connectivity is the foundation of smart manufacturing. It combines human ingenuity with digitally networked devices and resources, as well as AI-driven analytics and systems. The ability to customize outputs based on real-time data and intelligence is accelerated and adaptability is enhanced by the combination of AI and smart tools. Smart manufacturing is a key component of more effective supply chain models and general corporate operations because of its visibility, adaptability, and resilience.

5 Benefits of Smart Manufacturing
In an era of unparalleled competition, modern firms must consider factors other than profit when gauging their performance. Benefits felt by everyone in your company—from consumers to employees to the environment—bring about long-term stability and devoted clientele.

Efficiency and productivity: Your teams can operate more quickly, more intelligently, and more securely with automation, real-time data analytics, and integrated manufacturing solutions. Additionally, you may improve the efficiency and productivity of your IoT-connected assets and machines by implementing automated workflows and predictive maintenance.

Agility and responsiveness: Smart manufacturing solutions and data analytics enable you to quickly adapt to changes in the market at every level of the process, allowing you to instantly pivot your manufacturing workflows and accurately personalize your products.

Sustainability: Smart manufacturing technologies collect data that can be used to implement strategic and economical plans for optimizing operations and reducing energy consumption. Smart solutions can help your sustainable endeavors, from greener logistics to sustainable product design.

Improved quality control: Smart manufacturing solutions may integrate across your supply chain and manufacturing activities to ensure that quality standards are visible and verifiable at every point, from the annoyance of negative reviews to the catastrophe of a product recall.

End-to-end savings: Enhance my writing. Having digital connectivity throughout your supply chain facilitates improved inventory control, logistics, and forecasting. This translates to lower risks, lower expenses, and—above all—happy consumers.

Advantages of a Smart Manufacturing Approach

Increased quality: Process digitalization lowers the possibility of failure and human mistake. It enables you to keep an eye on performance and process to boost production and make better use of your resources.

Lower operational costs with predictive maintenance: Production interruptions and costly equipment repairs can be avoided, and smart factories have the ability to anticipate and address maintenance concerns more quickly and accurately.

Higher customer satisfaction: Smart manufacturing gives managers access to more accurate data, which enables them to better service consumers by meeting their needs in real time and measure key performance indicators more effectively.

Significant cost reductions:By improving prediction accuracy and cutting waste, improved access to production and supply chain data and analytics contributes to cost savings through effective demand management.

Enhanced productivity: As autonomous machines converse with one another, a large amount of data is generated, opening up new analytics possibilities. Managers can improve productivity and make adjustments to efficiency planning by using this data, which offers real-time insight into the production processes.

Higher employee satisfaction: Having access to the newest technologies helps draw in and keep talent. Additionally, since human error is decreased by modern technology, personnel may encounter less problems relating to disgruntled clients.

Energy efficiency: By cutting waste, all manufacturers can lower their carbon footprint. Energy-intensive businesses stand to benefit the most from energy savings, though, as this will not only cut down on energy waste but also help drive down the cost of products.

Smart Manufacturing–Related Technologies and Solutions
You can detect faults, predict requirements more precisely, and manage innovation and the manufacturing process more effectively by integrating the appropriate combination of smart manufacturing technologies into the conventional manufacturing process.

When putting a smart manufacturing strategy into practice, a lot of technologies are crucial, such as digital twins, augmented reality, robotics, data lake house solutions, Internet of Things integrations, and analytics based on AI and machine learning.

Data lake houses
With a data lakehouse, a factory can store, comprehend, and analyze any kind of data thanks to its contemporary, open architecture. It blends the range and adaptability of the most widely used open source data technologies used by manufacturers today with the strength and depth of data warehouses.

Utilizing the newest AI frameworks and prebuilt services is made possible by a data lakehouse's ability to quickly compile, examine, and uncover fresh insights from a variety of data sources, like invoices and forms, and data types, including text, audio, and video.

An effective decision-making process depends on having access to strong tools for quickly communicating, gathering and combining operational data in real time, deriving insights from the data, and coming to comprehensive, team-based conclusions.

Supporting manufacturers' ability to source from a variety of vendors helps them achieve supply chain resilience. This is an example of a representative use case. This is accomplished by allowing them to combine data from the ERP system, which manages order processing, with information from the inventory, warehouse, and transportation systems, which move and deliver the raw materials needed for production.

Industrial Internet of Things
The implementation of smart manufacturing and the efficient attainment of corporate objectives are contingent upon the presence of the Industrial Internet of Things (IIoT).

A connected factory is one setting where IIoT can be used to collect data in real time from intelligent devices such as industrial robots, cameras, equipment sensors, and other devices connected by a 5G local network. The information is fed into an AI/ML system, which can make recommendations in real time for decisions on predictive maintenance, asset utilization, remote monitoring of production assets, and automation of different jobs and processes.

Anomaly detection
For manufacturing equipment, anomaly detection techniques can be employed in predictive maintenance. In order to automate manufacturing jobs, choices, and processes—such as ordering replacement parts or supplies, scheduling maintenance for hardware equipment, and taking proactive measures to prevent downtime and boost productivity—anomaly detection leverages prebuilt algorithms to identify a variety of anomalies in time series data.

Keep an eye on manufacturing efficiency and use predictive analytics and many data sources to spot any anomalous production behavior. Utilize a platform for machine monitoring to identify and forecast anomalous behaviors in equipment and to suggest and initiate the next best course of action for resolving predicted malfunctions.

To identify quality violations and produce prediction alerts, implement quality monitoring at every stage of the production cycle. This will make it possible for you to establish best practices training with actual data from previous quality issues and conduct an instantaneous root cause analysis to pinpoint the origins of a quality issue.

Get Started With Smart Manufacturing
With the aid of innovative strategies and astute technology, smart manufacturing can assist manufacturing organizations in becoming more robust.

If so, have a look at Oracle's smart manufacturing solutions to learn how to use AI and ML to contextualize data, offer useful insights, and obtain a competitive edge in a field that is becoming more and more dynamic.