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

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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.

Companies 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.

Opcenter APS
NPLAN
Plannera

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, internal fights are common in companies without structured integrated planning. And this leads to worsening at the level of service, inefficient use of working capital and assets, and at the end of the day smaller margins. The Plannera solution helps to establish, evolvens organize its S&OP process, bringing clarity to all of what has 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, cutting costly setup times. Improved synchronization reduces wait times, directly adding value to the product while maximizing the utilization of your company’s 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.

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

How America Tampas became a benchmark in automated production scheduling.

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Service
Overview of Neo's PortfolioWhat we do
Technology
NPLANOpcenter APSAX4Evocon
Solutions
Production Planning (MPS)Advanced Planning and Scheduling (APS)Integrated Planning (SEOP)Production Control (MES)Distribution Planning (DRP)Inventory Planning
Industries
Food and Beverage
Ceramic and glass
Packaging
Pharmaceutical and Cosmetics
Metal-fabrication
Furniture
Textiles
All industries
Institutional
Who we areTeamWork with us
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See Cases
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