InventraxSMP
Smart Manufacturing Platform
Empowering manufacturing business towards sustainable growth using the lean practices and Industry 4.0
InventraxSMP is a suite of operational management tools that transform your manufacturing business through insights and intelligence powered by data, acquired from sensors and automation.
Operational data captured from machinery, IT systems, IIoT sensors are pooled into data lakes, Such data lakes are used for deep learning and cognitive analytics.
By eliminating critical data discontinuities, InventraxSMP helps provide a platform for an end-to-end digitalization of modern manufacturing.
Empowering manufacturing business of all sizes in their Digital Transformation journey , InventraxSMP helps the business to lead the Industry4.0 automation and join the World Economic Forum’s Global Lighthouse Networks community.
InventraxSMP Suite
To collaborate with various functions in manufacturing, the suite is a collection of the following Operation Technology(OT) components that seamlessly integrate with the Information Technology(IT) systems for the convergence
Inventrax Smart Factory CoE
Our Smart Factory Center of Excellence team with highly experienced SME’s provide consultation from the planning stage of Greenfield project till the commissioning and operational stage
Our expertise in the modern manufacturing sector allows us to bring your enterprise-wide visibility of the key performance indicators for seamless manufacturing execution.
We handle turnkey project from the design , sourcing, execution and maintenance of IT/OT landscape, private 5G networks , Industrial control systems, cloud computing in executing Smart Factories solutions
Technology landscape
- 5G Networks
- Industrial IoT Sensors
- Cloud Computing
- Mobility platforms
- Edge Computing & Robotics
- Artificial Intelligence & Machine learning
5G Networks
5G Network provides the next generation of private wireless networks for supporting automation, safety, security and new levels of quality, efficiency and productivity.
To meet the requirements of large data collections from sensors on the manufacturing shopfloor to cloud data lakes, run AI/ML and automation, industries need high throughput, low latency, secure wireless connectivity with exceptional coverage at a reasonable cost,
4.9G/LTE and 5G industrial-grade private wireless networks are the only wireless solutions available that have proven records to meet the demands of Industry 4.0 mission- and business-critical applications. They provide robust, secure and reliable connectivity for everything that is critical to your operations.
Inventrax CoE offers turnkey 5G managed services focused on rolling out 5G networks, we provide network design, installation, security, operations monitoring and management.
Industrial IoT Sensors
IIoT sensors convert physical world processes into raw signals. Transmitters convert these raw signals into an industrial standard digital data and send over the internet to cloud storage .
Sensors that capture Mechanical, Thermodynamic, Electrical & Geospatial data are widely used in the manufacturing sector to seamlessly integrate with [digital infrastructure]to empower people and machines to operate more productively.
Our CoE team works with wide array of IIoT sensor OEM’s , cloud partners and network carriers to provide and end-to-end solutions on a vertically integrated services for the entire data journey, from IIoT sensors to the monitoring software and the analytics layer on InventraxSMP.
Cloud Computing
Cloud computing presents a model for on-demand delivery of computing power based on pay-per-use business models. Virtualization and dynamic scalability on demand are the main features of the cloud.
Industry 4.0 has been driven by 4 IT Infra disruptors;
- Demand for high computational power and connectivity
- Rise in data volumes
- Dynamic sizing of IT Infrastructure
- Centralized data storage with high availability, security, reliable backup and recovery infrastructure
Cloud services address the mentioned disruptor's by offering various layers computing on Infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) .
Inventrax Smart Factory CoE consists of Cloud Architects that offers managed services with software, platform, and infrastructure as a service manner.
Mobility platforms
Industry 4.0 is the buzzword for the current trend for data exchange and automation in manufacturing technologies including IoT, cloud computing, cognitive computing, and cyber-physical systems. Mobile technology is one of the driving forces behind Industry 4.0, creating “smart factories” and streamlining manufacturing operations with mobility.Edge Computing & Robotics
Edge refers to a distributed computing model, brings computation, data storage and power closer to the source of data generation. Processing data where it is created and allows for the more immediate application of analytics and AI capabilities eliminating round trip latencies and enabling real-time actions.
Primarily used in industrial robotics for decentralized local decision making using high compute deep learning models.
InventraxSMP consists of component's that work on ROS based edge computing devices built in automation control systems
Artificial Intelligence & Machine learning
Artificial intelligence brings to the manufacturing table is its capability to open up completely new avenues for business.Artificial intelligence’s impact on manufacturing can be organized into 5 main areas:
- Predictive Quality and Yield
- Predictive Maintenance
- Human-robot collaboration
- Generative design
- Market adaption/supply-chain
Benefits of InventraxSMP
Continuous data collected from man, machine and material across the factory shopfloors into data lakes will be used for operations Intelligence using deep and process improvement. Inventrax Smart Manufacturing Platform will :
Improve the productivity by 25% with precise planning & scheduling of resources
Cut down the pilferage and improve the efficiency by 30%, with real-time data visibility of man, machine and material.
Reduce the energy consumption by 20% and in CO2 emissions by 15%
Reduce reworks, rejections and returns by 25% with improved quality data capture and product control.
Improve supply chain with high availability of inventories by automated replenishments
Reduce unplanned downtimes and breakdown of machinery with predictive & periodic maintenances automation
100% Paperless operations thorough out the factory reduces the production cost by 5%
Increase in labor life quality by upskilling them and engaging in skilled jobs from the unsafe and mundane tasks
Challenges Addressed :
Reduced Go-to-Market time
Reduced Production Costs
Increase in productivity
Improve Track & Trace
Improved Inventory &
Operations Visibility
Improve Quality &
reduce recalls
Reduce Carbon emissions
Increase Energy efficiency