Industrial Revolution 4.0.

Industrial Revolution 4.0.

Industry 4.0 and Sparrow ERP

Today’s Digital Industry 4.0 is described as the fourth industrial revolution. Industry 4.0 and Sparrow ERP have the capability to enhance the manufacturing, design, operations, and service of production systems and products. An IoT (Internet of Things) platform is a system used to manage,collect, store, monitor and analyze the data from IoT (Internet of Things) devices.

The other type of Internet of things applications preferred by large high-tech businesses is Industrial IoT (IioT). Iiot Devices can accomplish certain tasks more accurately than humans, including data acquisition and exchange of information, which has increased IIoT’s adoption in manufacturing businesses. The definition of IIoT involved main building blocks for a manufacturer such as communication, big data analytics and machinery learning techniques.

ERP system for manufacturing companies that want to take advantage of ERP and Industry 4.0 must have the following features:

  • Capable of fully integrating with connected devices and being totally interoperable between all connected equipment and their operators.
  • It should be versatile and customizable, with various deployment phases.
  • The big data management in real-time should be enabled in ERP.
  • It must be fast in processing the data and maintain that speed when scaling.
  • The data and scaling must be processed quickly.

Sparrow ERP and Elasticsrearch

The information collected allows companies to quickly uncover and resolve issues, resulting in overall profit in time and resources. In the manufacturing industry, IIoT can be used to efficiently monitor and manage the supply chain, execute quality assurance, and to ensure that total energy usage is lowered.

Sparrow ERP Offers Deeper Insights Into Your Data and gives you better-tailored insights, data Captured in Sparrow ERP stored in ElasticSearch. You can use kibana to power your next generation analytics and machine learning strategies.

Cloud computing can be used for the analysis in batch or stream format of data generated by IoT devices due to its processing and storage capabilities. IoT applications can use cloud services to meet your requirements for scalability and computer-intensive processing using available storage and computer resources.

Current approaches to data analysis focus primarily on the management of big data but it is more difficult to process data from millions of sensors and devices in real-time. IoT has a unique network of identifiable intelligent objects that are linked to each other. This technology provides the backbone required to ensure the seamless connectivity of many applications among their modules.

Sparrow ERP & Thingsboard

ERP is really the core of most industries, offering a single data source. IoT can increase the availability and accuracy of data tremendously. This has major consequences in areas like client service, trend analysis, inventory management and business intelligence for improving ERP.

Sparrow ERP collects data from your IoT devices and you can visualize your data on Thingsboard platform. You can customize and personalize your IoT dashboards on the ThingsBoard. Each IoT Dashboard can have several dashboard widgets that show data from your IoT devices.

Industries now can track business activities worldwide and perform real-time data analysis. In the manufacturing industry, IoT has already had a significant impact. For example, sensors on equipment enable a greater degree of automation of maintenance and ensure that vital data are accessible to the decision-makers.

IoT can advise manufacturers by sending updates and alerts, whenever the products need attention or repair, or if the machine failure has been observed.

Production effectiveness can be enhanced as there is no need for human interference to manually input data into the database. IoT automates all this operation and enables devices to be integrated into manufacturing materials and equipment, in real-time.

Businesses can monitor live data flow to accurately predict maintenance requirements and prevent possible issues. The predictive analysis enables smart operational automation and preventive maintenance, which can trigger inbuilt alerts and operational measures to prevent undetermined downtime.