Pre-Built Solutions for Injection Mold Machine

Whether you call it the Internet of Things (IoT), the Industrial Internet of Things (IIoT), or Industry 4.0, one thing is clear; it’s revolutionizing every form of industry and production, and that includes injection molding.

Smart manufacturing is making it easier than ever to collect and analyze data, strengthen weaknesses, and mitigate problems; it’s also been shown to cause clear gains in production efficiency, quality, and time to market.

The IoT utilizes sensors for data collection and networks for data transportation. Standalone equipment inhibits the collective knowledge of the factory as a whole; increased connectivity reduces the amount of human intervention needed to monitor, collect, exchange, and analyze data. It also creates a fast, easy environment to communicate information both on the plant floor and between the floor and outside.

Your decisions about your data and sensors should optimize the IoT to achieve the highest benefits to your company and your customers. Be sure to discuss things like how and where the data should be housed, data security, remote connectivity, and the like for the best smart manufacturing experience.

The gathered and analyzed data can present specific advantages in the plastics industry. For injection molding complex components, data can help to ensure a maximum level of repeatability in the molding process, create consistent quality, and mitigate defects. Of course, data also provides the general benefits of reduced downtime through preventative maintenance and machine upkeep.

Smart factories provide benefits for your customers, too. With the collected and reported data, consumers can receive important and highly accurate timing information on their orders, increasing customer satisfaction and communication.

The IoT can turn your company into a smart company; it can transform the issues faced by manufacturing into the incredible benefits of smart manufacturing.

IoT for injection molding system also integrates data from all injection machine manufacturers, and Monitory production quality and send real-time notification, allowing plant machine operator and manager to quickly grasp the information, providing customized modules according to customer needs, such as production monitoring, quality management, abnormal inspection, smart management, distribution of order list.

Manufacturers are under constant pressure to minimize downtime, improve quality, and respond faster to individual customer requirements, all while lowering costs.

The DataSar Manufacturing Apps are pre-built solutions that can be installed in less than 60 minutes without disrupting production. These apps provide manufacturers with real-time visibility into factory floor operations, from individual dataSar’s to assets to plants to enterprise-wide operations.

The DataSar Manufacturing Apps and building blocks help you improve operational efficiency and workforce productivity across the shop floor by equipping workers with role-based apps that bridge IT and OT, enabling your teams to view, understand, and act on industrial data in real-time. These apps and building blocks are built on the DataSar Industrial IoT platform to accelerate time to value.

Manufacturers face challenges such as defective products, on-time delivery slippage, excessive scrap and rework, unacceptable equipment downtime, and supply chain disruption. As the number of assets and production facilities increases, it becomes more difficult to diagnose and react to these challenges in a timely and scalable manner. Such difficulties can have cascading effects on production schedules and translate to higher production costs, lost profits, missed order fulfillment and reputational damage. Information silos and manual data collection add complexity to making near real-time operational decisions.

It is imperative that its machines operate reliably and that parts and materials are available at every production step, to ensure that products being made meet quality standards. DataSar Manufacturing Insights from Kangiten leverages AI and machine learning (ML) techniques to provide answers to these challenges, by connecting data from man, machines, method, and materials for situational awareness.