We offer the ideal solutions for digitizing the industry supply chain. And we can prove it.

Balance stocks, finite production and demand.

Every industry has a set of very challenging production restrictions. The number of processes, the high times of setup, the lack of synchronism, inventory ruptures and the requests for the way, are just some of the difficulty in the manufacturing planning and programming process and motivators of the productivity fall.

Company in the segment served:

Neo supports all the planning of its supply chain, from the long to the short term, treating characteristics of each industry, from the definition of inventory strategies, demand planning and production, as the optimized sequencing of each productive operation in order to generate agile, viable and efficient scenarios.

We combine consultative expertise with state-of-the-art technology.

Meet Opcenter APS

We’re one of Siemens’ largest Planning & Scheduling partners in the Americas and a certified Smart Expert. With Opcenter APS, the world’s leading software, we help you balance demand and capacity to achieve optimized production planning and scheduling.

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Meet NPLAN

NPLAN is an innovative advanced planning platform for productive scenarios developed by Neo, which emerged with the mission of revolutionizing the digital acceleration of the supply chain. Generate your production planning scenarios agile, reliable and collaboratively.

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Meet Plannera

Aligning the entire company around common goals is no easy task. Conflicting goals, misaligned decisions, and internal disputes are common in company without a structured, integrated plan. This leads to a decline in service levels, inefficient use of working capital and assets, and ultimately, lower margins. The Plannera solution helps establish, evolve, and organize your S&OP process, bringing clarity to everyone about what needs to be done and why.

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The problems of industry:

Demand Variation

High sensitivity to demand forecasting errors combined with difficulty in predicting demand.

Inventory balancing

Difficulty in planning coverage evaluating inventory, capacity, cost and deadlines.

High setup times

Manufacturing alternately components with different attributes all the time is extremely costly due to the setups involved at the beginning of each operation.

Production reprogramming

React assertive and quickly in a dynamic productive environment with changes in priority of care, production delay and breaking machines.

What to expect:

Inventory reduction

The best synchronization between operations shortens Lead Time, which reduces WIP and also allows the reduction of inventory of finished products, as resupply is faster. The agility of the solution also allows to react to change and improve the health of inventory.

Increased productivity

Scheduling rules will group similar items together, reducing setup times that do not add value. Better synchronization allows for reduced waiting times, generating more value directly for the product and making better use of company assets.

Reduce delays

Visibility, agility in programming and greater assertiveness in plans allow you to reduce delays and ruptures as they are identified in advance, allowing simulations to take preventive actions and eliminate them.

Agility in reprogramming

For any unforeseen production, such as maintenance or slower than expected production, the possibility of quickly reprogramming the scenario allows greater production control and better results.

We offer the ideal solutions for digitizing the industry supply chain. And we can prove it.

Balance stocks, finite production and demand.

Company in the segment served:

We combine consultative expertise with state-of-the-art technology.

Meet Opcenter APS

Meet NPLAN

Meet Plannera

The problems of industry:

Demand Variation

Inventory balancing

High setup times

Production reprogramming

What to expect:

Inventory reduction

Increased productivity

Reduce delays

Agility in reprogramming

Increase the productivity of your supply chain up to 20%.

How America Tampas became a benchmark in automated production scheduling.

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