The manufacturing industry is witnessing the 4th industrial revolution, driven by digitization of business processes in a new environment of smart factories, smart products, and integrated supply chains. Manufacturers faced with the conflicting demands of mass customization, i.e. efficiency and flexibility, are looking for better ways of making manufacturing more customer centric and sustainable, while achieving higher quality and greater asset utilization.
Current Trends:
Current Challenges:
Sasken partners with enterprises to assess their Industry 4.0 maturity by using its in-house Maturity framework and create roadmaps for successful IIoT implementations. Sasken’s ability to implement proven use cases that offer high business benefits in areas of Operational Efficiency, Supply Chain, Worker Productivity, and Utilities, makes us the partner of choice for several of our global customers.
Leveraging its three decades of expertise in semiconductor and connectivity technologies, Sasken has developed a platform agnostic modular IIoT Gateway software stack and IIoT Analytics Platform with state-of-the-art features that can be customized quickly to reduce time-to-market and lay the foundation for Industry 4.0
Frequently Asked Questions
Sasken assists enterprises by conducting Industry 4.0 maturity assessments and developing strategic roadmaps for Industrial IoT (IIoT) implementation. Their technical support includes:
An IIoT Edge Gateway acts as a modular software stack that connects factory floor sensors to cloud environments. Sasken’s Edge Gateway Architecture enables Edge AI and Machine Learning, allowing data to be processed locally for real-time insights. This reduces latency and ensures secure connectivity between hardware and analytics platforms.
Predictive maintenance uses real-time data from connected assets to forecast equipment failure before it happens. This allows operators to shift from reactive repairs to proactive maintenance, which significantly reduces unplanned downtime. By using diagnostic and predictive algorithms, companies can lower production costs and extend the lifespan of machinery.
The Sasken IIoT Analytics Platform provides descriptive, diagnostic, predictive, and cognitive analytics to optimize industrial operations. These algorithms help manufacturers understand historical trends, identify the causes of equipment issues, and implement self-learning systems. This data-driven approach focuses on improving operational efficiency, supply chain management, and workforce productivity.
Customer: Leading Finnish industrial machinery company
Scope: Customer wanted to enable remote monitoring of Industrial valve...
Customer: World’s largest Tier-1 Auto and Industrial OEM
Scope: The client had undertaken an initiative to develop a single, re...
Customer: Leading Finnish Kitchen Equipment Manufacturer
Scope: Customer was developing a next-gen industrial kettle and was fa...
Customer: Leading North American Semiconductor company
Scope: Customer was facing a global logistics challenge covering damag...