2018- The Age of Smart Manufacturing

About Plataine

Brought by Plataine, a leading provider of AI agents for advanced manufacturing. Plataine’s AI agents optimize planning and scheduling, material management, and supply chain collaboration.
Check your fit for AI based planning and scheduling.

Now that the tender has been won and the announcement has been made, the time to start producing and supplying the product has begun. Management must now ask, “How can we reproduce the product performance we achieved during prototyping and the sales process, on a consistent and cost effective basis? How do we ensure that the model we have developed for producing these products is indeed sustainable and more over – is it profitable?” This is the conundrum most manufacturers face when orders are finally released for production.

No one questions the benefits of automating and optimizing labor intensive manual processes. During the prototype stage, many of the processes were simulated and indeed were manual in their nature, in order to achieve some guidance for creating a winnable proposal. During the proposal stage, contingencies were taken into account, in order to ensure that losses would not be incurred during the production stage. However, a company cannot survive with just avoiding loss. Management should consider this as the ideal time to create an automated and optimized process, to increase profitability. Waiting until production has been underway for any extended period sometimes makes it impossible to stop and reevaluate, for fear of slowing down production ending in delayed delivery.

Numerous areas are critical in this regard such as cut planning, material usage, labor, machine utilization and quality control. The question Management should be asking at this stage is, “How can we better automate and optimize our processes by planning in advance, using less raw material, reducing manual labor and time, ensuring our assets are optimally utilized, resulting in higher production rates while not compromising on quality?” or in other words “How can we digitize our production floor?”

Introducing: Intelligent Manufacturing Automation

Addressing these challenges methodically and efficiently requires a dynamic optimization approach, featuring the ability to automatically integrate critical data from each system (such as ERP, CAD, PLM), digitally track production and supporting assets, manage all that information in real-time and then take optimized actions in real-time for planning and producing. Repeating this process consistently throughout the production run is crucial for quality control.

The Internet-of-Things (IoT) in composites manufacturing, leveraging RFID and mobility technologies, enables composite part manufacturers to better tracks and manages materials, kits, tooling, assemblies and staff on the production floor. Combining best of class engineering and manufacturing practices & technologies, OEMs and fabricators can further reduce Buy-to-Fly ratios.

Having the right software system to ensure that this happens is crucial and the key to ensured profitability and success. Integrated software solution that integrates with existing software systems such as the ERP, MES and CAD systems and has the ability to receive critical data from these systems, allows for an automated holistic approach to planning, producing, automating and optimizing. Total production optimization software is the direction most manufacturers are now taking to ensure that what was once simulated is not only repeated but improved during production, resulting in higher profitability.

CLICK HERE and join the Factory of the Future!

Don't miss new updates on your email
Your email will be handled as detailed in our Privacy Policy

The 5 Best Production Planning & Scheduling Platforms for Manufacturers in 2026

Traditional Advanced Planning and Scheduling (APS) systems remain incredibly valuable, but many were designed for a world where planners manually reacted to change. Increasingly, manufacturers are looking for software that doesn’t just create schedules but continuously improves them.
That is where AI is changing the conversation.
The newest generation of production planning platforms combines optimization engines, real-time factory data and AI to help planners make better decisions faster. Some platforms even introduce autonomous AI Agents capable of identifying disruptions, recommending corrective actions and automatically optimizing production.
Choosing the right platform, however, isn’t easy.
Some solutions are amazing at finite-capacity scheduling. Others focus on enterprise supply chain planning. A few are beginning to redefine what production planning looks like altogether.
To help narrow the field, we’ve evaluated five of the industry’s strongest production planning and scheduling platforms based on their AI capabilities

Read More >

Stop Firefighting: Why Agentic AI Is Transforming Aerospace and Defense Manufacturing Planning

Building a production plan is the easy part.
But keeping that plan intact once production begins…. That’s where Aerospace and Defense manufacturers face their greatest challenge.
We see it all the time, planners arrive with a carefully balanced production schedule (that they worked on for a good few days), only to spend the rest of the day reacting to disruptions. A delayed material shipment, an unexpected engineering change, a machine requiring maintenance, or a certified operator calling in sick can quickly unravel hours of planning.
We’ve seen this pattern across advanced manufacturing facilities around the world. The larger and more complex the operation becomes, the more time planning teams spend responding to problems instead of preventing them.

Read More >

Can AI Really Improve Material Planning and Procurement Decisions?

In manufacturing, a material decision is rarely just a purchasing decision. Ordering additional material, delaying a delivery, changing suppliers, or reallocating inventory can influence production schedules, machine utilization, inventory levels, customer commitments, and on-time delivery.
This raises some important questions.
Can AI really improve material planning and procurement decisions?
Or can it only do so if it understands the entire manufacturing operation, continuously analyzes risk, and evaluates multiple possible outcomes before recommending the next action?
Isn’t Material Procurement Just About Buying the Right Material at the Right Time?

Read More >
Before you go….
Subscribe to our blog and be the first to get the latest trends!
Your email will be handled as detailed in our Privacy Policy