Production planners have a central and critical role in the smooth operation of manufacturing operations.
With so many competing priorities and demands on their time, they need the best possible tools to
assist them in performing their role.
During the course of production, quality issues are bound to occur, but the real issue is whether they are “nipped in the bud” or whether they will evolve into much bigger problems. Defective parts can easily slip through the full manufacturing process, only to be discovered when it’s too late. Ideally, such discoveries are made before shipping.
Frost & Sullivan recently analyzed the Global market for Digital Assistants for Advanced Manufacturing, and based on its findings recognizes Plataine with the 2021 Global Technology Innovation Leadership Award for optimizing production in zero-waste manufacturing.
New technologies are changing the face of modern manufacturing – everything a manufacturer does, from design to manufacturing to daily operations, and how all those processes integrate with the wider supply chain – all of this is being transformed by the cloud.
Cyber-security is a vital factor for factories considering implementing IIoT-based technologies. This paper has been written with factory managers and decision makers in mind, to help better understand how to deliver a secured IIoT solution.
(IIoT) and Industry 4.0 are opening up new possibilitiess to cut costs and increase throughput. Increasingly, IIoT solutions for composite parts manufacturers use a combination of automation hardware and AI software to deliver radical productivity improvements.
How can you reproduce the product performance you achieved during prototyping stage and the sales process, on a consistent and cost effective basis?
How do you ensure that the model you’ve developed for producing these products is indeed sustainable and more over – profitable?
Cyber security is a big consideration for discrete manufacturers when implementing IIoT (Industrial Internet of things). Many companies are delaying investments due to cyber security concerns. Meanwhile, many others are enthusiastically adopting digital manufacturing technology without taking appropriate security precautions.
Learn in this whitepaper how Innovative Artificial Intelligence algorithms can collect IoT-based data, analyze data trends, raise alerts and recommendations, or even independently take optimal actions, all while maintaining full genealogical database, weaving a digital thread from the raw material stage to the end-product.
This paper will focus on measuring material utilization during the nesting/cutting processes.
Frost & Sullivan analyst report: 2018 IIoT software for manufacturing digitalizatiom & optimization award built on its in-depth technical know-how and nearly decade-long experience in designing smart automation.
This white paper presents an alternative, holistic decision framework that allows for increased visibility and process control as a basis for dramatic improvements of production efficiencies.
Get your assets to start talking and collaborating – Implement Internet of Things in your manufacturing Plants to improve your production.