Smart Manufacturing Platform
Empowering manufacturing business towards sustainable growth using the lean practices and Industry 4.0
Industrial organizations have to consider the entire data ecosystem at the outset of their digitization efforts. A need of a collaborative platform that connects the IT systems, machinery, sensors, human data, cloud, deep learning and the communication channel all into a single integrated unit, drove us to build Inventrax Smart Manufacturing Platform (InventraxSMP)
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.
InventraxSMP Suite
Supply Network Planning
Planning & Scheduling
Material Management
Manufacturing Execution
Energy Management
Maintenance Management
Inventrax Smart Factory CoE
Industries We Serve
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
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, that 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 systemsArtificial 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
Key Benefits of Our Solution
Reduced Go-to-Market time
Accelerate go-to-market with streamlined operations for faster results.
Reduced Production Costs
Lower production costs through optimized processes and smart solutions.
Increase in productivity
Boost productivity with efficient workflows and optimized operations.
Improve Track & Trace
Enhance track and trace with real-time visibility and control.
Improved Inventory & Operations Visibility
Gain full visibility into inventory and operations with real-time insights.
Improve Quality & reduce recalls
Enhance quality control and minimize recalls with precise monitoring.
Reduce Carbon emissions
Cut carbon emissions through efficient, eco-friendly operational practices.
Increase Energy efficiency
Boost energy efficiency with optimized resource management and technology.
