Pre-Built Solutions

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 Globecom21 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.

Manufacturing 4.0 is all about “smart factories,” where machines are augmented with web connectivity and tied into a system that can visualize the entire production and chain and make decisions on its own. The trend is toward automation and data exchange in manufacturing technologies, which include cyber-physical systems (CPS), the Internet of Things (IoT), cloud computing and cognitive computing. A major component of an autonomous supply chain.