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David Tweeto

Industrial Scheduling Expert & Product Manager at Plataine

David Tweeto is a Product Manager at Plataine, where he leads the development of AI-powered solutions that help manufacturers optimize production planning, scheduling, and operational decision-making. With extensive experience spanning advanced manufacturing, industrial software, and artificial intelligence, David works closely with global manufacturers to translate complex factory challenges into practical, data-driven solutions that improve efficiency, agility, and business performance.

Passionate about the future of intelligent manufacturing, David focuses on the evolution of AI Agents, production optimization, digital twins, and autonomous decision support for modern factories. He collaborates with customers, engineering teams, and industry experts to ensure emerging AI technologies solve real operational problems and deliver measurable value on the factory floor.

Through his articles, David shares practical insights into manufacturing AI, production scheduling, supply chain optimization, Industry 4.0, and the technologies shaping the next generation of smart factories. His goal is to help manufacturing leaders understand not only what’s possible with AI, but how to apply it successfully in real-world production environments.

Blog posts by David Tweeto

Beyond the spreadsheet: 5 Ways Agentic AI is Rewiring the Factory Floor

Spend enough time walking factory floors and sitting side-by-side with planners, and you start to notice a pattern that repeats itself almost everywhere.
The systems are there. The data is there. In many cases, there’s a lot of both.
But when it comes to actually making decisions, especially around scheduling, it still comes down to manual effort, experience, and a fair amount of workaround thinking.
That’s the paradox of modern planning and scheduling.
Over the years, manufacturing has gradually introduced more digital systems into the production environment. But in many factories, paper travelers, printed schedules, whiteboards, spreadsheets, and manually distributed plans are still part of day-to-day operations. Even in highly advanced facilities, planners and operators often work across a mix of digital tools and manual processes to keep production moving. On the surface, there is more visibility than before, but much of the coordination still depends on people constantly connecting the dots themselves.But the reality on the ground often tells a different story.

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From “What If?” to “We Know”: How Sandbox Simulation Changes Manufacturing Decisions

Manufacturing leaders make decisions every day that carry real risk. Should we accept this new order? Can we meet demand if a key supplier slips? Do we need another machine, another shift, or another planner just to keep up? Too often, these decisions are made with partial data, disconnected spreadsheets, or best guesses shaped by experience rather than real data.
Sandbox simulation changes that equation.

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Introducing the Sandbox: Your New Playground for Smarter Production Planning

Enter the Sandbox—a cutting-edge, risk-free testing environment that empowers you to make quick and safe changes, avoiding live data impact. This innovative tool provides a “digital twin” of your production system, letting you run testing scenarios and refine strategies before implementing them in your day-to-day operations. Whether you’re involved in demand planning, forecast planning, short-term scheduling, or long-term factory expansions, the Sandbox offers you the flexibility to test, fail fast, and iterate—without putting your actual production at risk.

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