The manufacturing process is a complex one with many moving parts. The intent is always to streamline systems and processes to ensure optimization of production and this is where digital transformation helps. Smart manufacturing allows factory managers to automatically collect and analyse data so that they are better placed to make informed decisions. Optimization of production with IoT-enabled infrastructure ensures improvement in product quality, production efficiency and energy use.
IoT makes complete sense for the manufacturing industry because of its inherent ability to provide decision-makers with real-time data. This data, collected from sensors and machines when deployed at the factory unit level generates immense data points. Connectivity to the cloud, data analysis, and sending of relevant data helps managers assess performance across various set parameters.
Manufacturers can feed information from available systems and devices directly back into the production line, enabling them to make improvements to streamline processes as per real-time requirements within minutes. All this adds to productivity and accountability.
Production optimization with IoT-enabled infrastructure
The advantages are numerous and immense, and most importantly fully measurable. Knowing how much energy and water is being consumed or wasted means better planning and savings. In the long run, these don’t just add up to money saved, but also contribute to environmental sustainability.
Smart Manufacturing Solutions by Translab.ai give managers the ultimate resource in control and management – a comprehensive dashboard that brings them real-time information from multiple data systems. This critical information is available in one place, making it simpler for important decisions to be made on the go.
With the ability to quickly study, analyse and understand individual customer needs and customize solutions, Translab.ai is the perfect partner for the manufacturing industry’s digital transformation journey.
What IoT in manufacturing means for you
- Management and real-time tracking of assets and inventory
- Enforcement of strict compliances in tracking the asset to defined areas
- Predicts and proactively ensures improvement in maintenance and asset costs
- Reduced asset downtime and equipment failures
- Improves maintenance activities as required to reduce downtime
Operator Performance Analysis
IoT uses machine learning skills to track operators’ key indices in order to improve the industry value chain and build performance-based historic work characterization profiles. This is done by collecting the data of individual workforces and mapping it across various skill parameters over defined shop floors and over specific tasks. Workers’ skill training schedules, efficiency mapping, output predictions, day allotment of work profile as per the best match pattern can be streamlined in real-time, eliminating time wastage in this strategic workforce for a day job.
Smart utilities are energy (electric, steam, gas) and water utilities that deploy connected devices across the grid and collect data that helps them deliver services more efficiently and reliably. Smart Manufacturing IoT solutions by Translab.ai collect end-use energy data across verticals and helps predict and manage energy optimization via reduced energy usage, prioritizing load schedule, and managing on-site generated renewable energy. End-use collection of real-time data with IoT sensors helps optimize water use, treatment plant operations, and site-based water requirements depending on water availability, weather conditions, occupancy and other patterns.
Within a factory or on the shop floor, are a variety of movable and immovable assets. This responsibility rests with the managers who must keep track of all such assets, ensure their maintenance and analyse the life of each asset. Typically, this information is available in different places and managers need to collaborate with different resources to gather the information to take necessary actionable decisions, while also focusing on workplace needs and demands.
While more mature organisations have invested in systems and processes, a traditional, even well executed ERP system is often found to be inadequate since it does not deliver real-time status of assets inside or outside the organization premises.
Smart Asset Management Solution by Translab.ai
The Smart Asset Management platform by Translab.ai is a unique micro-service that is driven by machine learning and infrastructure comprising RF Network Based Smart Wireless Sensors and TAG. This provides dynamic tracking, health analysis and also automates real-time day to day tasks, manages business processes by integrating maintenance, inventory management and deployment processes.