Navigate Your Manufacturing
Today manufacturers face challenges to deliver complex, personalized and connected products rapidly. PLM, MOM and SLM technologies are gearing up and getting integrated to build maturity in driving Industry 4.0. From R&D and manufacturing, through distribution and after-sales support, holistic product data is changing how products are built, sold and cared for.
Industry 4.0 signifies the promise of a new Industrial Revolution. It marries advanced production and operations techniques with smart digital technologies to create a digital enterprise. These enterprises are not only interconnected and autonomous but could communicate, analyse, and use data to drive further intelligent action back in the physical world.
Industry 4.0 has raised the discussion about the digitalization of industry to a new level. Both product and Plant Lifecycle Management (PLM) are essential when the consistent digitalization of value creation becomes a prerequisite for further development. Also, the gradual integration of the operational technology (OT) of the plant and the Information technology (IT) is redefining monolithic MOM/MES systems into a new paradigm of IIoT apps. Technology enablers such as digital twin, IIoT, cloud computing, edge computing, AR/VR, analytics provide huge promise to business transformation in the Manufacturing sector.
With ever-shorter product life cycles and a rapidly growing number of product variants, manufacturing companies are facing growing challenges. They need to reduce time to market, shorten lead times, and manufacture products in smaller lot sizes. While these demands are nothing new, digitization has upped the pace. We as one of the leading industrial IoT companies in India work with you to build customized solutions to maximize your chances of success and bring a tailor-made, interdisciplinary professional team that suits your situation and company culture. Although the process has never been easier, our goal as one of the leading Industrial IoT companies is to help you face the future with confidence.
Pratiti’s Proven Digital Transformation Phases In Manufacturing
Digital transformation is the integration of digital technologies into all areas of a business at different level of operations such as Department level, Plant Level and Enterprise Level. Pratiti has devised a 4 phased approach towards a successful digital transformation journey with incremental value addition along each phase.
Visibility: Provides real time visibility for shop floor / manufacturing operations and status of various assets involved.
Efficiency: Signifies a level of performance that uses the least amount of inputs to achieve the maximum output. It reduces the waste of resources and materials, energy, and time while accomplishing the desired output.
Effectiveness: It is a measure of how well a manufacturing operation is utilized compared to its full potential. Systems providing asset performance management, equipment heath and condition monitoring enables smooth operations.
Transformation: Leverages technologies to create value and new services for various operations and stake holders. It innovates and acquire the capabilities to rapidly adapt changing circumstances
Trending Use Cases in Manufacturing
Pratiti’s MFG Solutions
Pratiti’s Manufacturing Services
Product Lifecycle Management (PLM)
Engineering complex, personalized and connected products faster
Product Data Management
Engineering (Mechanical/Electrical/Software) Data & Simulation Management, Product Configuration and Supplier Collaboration.
Digital twin of production factory, Process Management and Simulation.
Manufacturing Operations Management (MOM)
Realtime monitoring of Industrial Machinery , Operations & energy consumption.
Digital Twin of factories enables improvement in OEE via dynamic scheduling and advanced process control.
Safety and Security
Enhanced work safety, compliance to standard operating procedures and predicting near misses.
Service Lifecycle Management (SLM)
Increased capacity utilization, asset & material tracking and lifecycle management.
Performance digital twin of assets in operation giving actionable insights for performance optimization.
Data collected from industrial machinery is analysed and used for predicting future maintenance.
Leveraging Digital Transformation Driven Technologies With Agile Methodology To Build World-class Technology Products
Realizing the vision of Industry 4.0 for Discrete Manufacturing.