With the launching of the Make in India program, the manufacturing industry has become one of the high growth sectors in India and aims to be the Global Manufacturing Hub. Though the concept of Industry 4.0 originated in Germany, every manufacturer desires to be a part and parcel of world-wide production. To meet this objective he follows Industry 4.0 trends and transforms his conventional manufacturing facility into an advanced manufacturing plant. A manufacturing Industry 4.0 adopts a set of technologies that includes cutting edge, artificial intelligence (AI), drones, augmented and virtual reality (AR/VR), the Internet of Things (IoT), etc.
Every manufacturing industry faces challenges in maximizing production, effectively utilizing all its resources, and quick decision-making. To combat these issues and maintain the KPIs, sometimes decentralized decision-making and distributed manufacturing are adopted. The typical KPIs for any manufacturing unit are increasing the overall production efficiency of the unit, maximizing utilisation of its equipment, reducing plant downtime, broadening MTBF and optimizing maintenance costs. Know To conform to these parameters, a manufacturing unit digitizes its machines, gathers and analyses data across machines, encourages faster, more flexible, and more efficient processes, and offers products with high accuracy and precision. To avoid unexpected breakdowns it implements Predictive Maintenance Solutions, leverages inventory costs, complies with government Safety Certifications, and plans Maintenance audits.
For an Industry 4.0 manufacturing facility, interoperability between machines, devices, sensors and people that connect and communicate with one another is extremely vital. The transparency in information and systems is significant to create a realistic picture of equipment, processes, and resources. The availability of strong technical assistance to enhance and escalate decision-making, problem-solving, and programming gadgets to assist people with tasks that are too difficult or unsafe for them is crucial. The accessibility of cyber-physical systems, real-time monitoring, data exchange in manufacturing technologies and processes, cloud computing, cognitive computing, and artificial intelligence, data and machine learning will be the trend of the Manufacturing industry in 2020.
Manufacturing industries to invest $267 billion in IoT in 2020 to digitize their facilities and achieve Penta-dimensional goals. These goals involve designing and modelling product-creation process, establishing standards for manufacturing process so that it delivers what companies intend to create, build SMART or intelligent factories in the cloud, deploy wireless and scalable sensors to remotely monitor health of equipment in operation, record statistics and operational status of devices, provide insights and feedback to Maintenance team, etc.
With the incorporation of these Industry 4.0 trends which are a subset of Industrial IoT, a manufacturer synchronizes to the revolutionary competitive advantage, overtakes traditional manufacturing strategies, optimizes his plant with smart, flexible supply chains, supports voluminous data handling, uses business intelligence to interpret, identify and transfer the mechanical data to other parts of business. Furthermore, Additive manufacturing vertically integrates processes across the entire manufacturing lines and departments including product development. Smart manufacturing horizontally facilitates streamlined internal operations from vendors to end-users including all the key values (process, products, equipment, and resources). A manufacturer addresses his privacy concerns, risks data redundancy, and focuses on boosting production, agility benefits, and early detection of defects and production failures.
Infinite Uptime’s Industrial Data Enabler (IDE), a global Predictive Maintenance Solution captures triaxial vibrations and temperature of critical mechanical rotating machines in real-time. The plug and play, edge-computing tool provides insights on dashboard and forecasts failure of any rotating equipment thus potentially ensuring maximum uptime. Further, the end-to-end solution comprising of hardware, software, communication, domain knowledge, and configurable diagnostics transforms any traditional manufacturing unit into a DIGITAL factory.