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

Parachute orders with tight deadlines and dynamic bottlenecks.

The packaging industry, whether plastic, paper or metal, has a dynamic demand and a set of very challenging production constraints. Once programmed, scenarios can be completely modified due to changes in orders or production, and keeping up with delivery deadlines while seeking to gain productivity is not easy.

Companies in the segment served:

Neo supports you throughout your supply chain planning, from the long to the short term, addressing industry characteristics such as print color gradients, delivery time promises, curing times and width and material restrictions.

We combine consultative expertise with cutting-edge technologies.

Get to know Opcenter APS

As the largest Siemens partner in the Planning and Scheduling portfolio in Latin America, certified Smart Expert, we have implemented the world's leading Opcenter APS software, designed to use advanced heuristics to balance demand and capacity and achieve optimized Production Planning and Sequencing.

Get to know nPLAN

nPlan is an innovative advanced production scenario planning platform developed by NEO with the mission of revolutionizing the digital acceleration of the Supply Chain. Generate your production planning scenarios in an agile, reliable and collaborative way.

Get to know Plannera

Aligning the whole company around common objectives is no easy task. Conflicting goals, misaligned decisions and internal squabbles are common in companies without structured integrated planning. And this leads to worsening service levels, inefficient use of working capital and assets and, at the end of the day, lower margins. The Plannera solution helps you establish, evolve and organize your S&OP process, giving everyone clarity on what needs to be done, and why.

Get to know Evocon

Simple and agile, digitize your factory data and optimize the performance of your equipment to the maximum. Evocon is a combination of IOT and plug-in-play software to help you understand your plant's behavior in an easy and intuitive way.

Meet the AX4

AX4 is logistics management software developed by Siemens Digital Logistics to optimize and simplify logistics management. Combining advanced technology and a customer-centric approach, AX4 offers an efficient way to manage transport operations, supplier deliveries, dock management, freight payments and much more.

Promised Delivery Dates

With orders coming in every day and a factory already loaded, it's difficult to promise realistic deadlines without seeing the impact of new demands on production, which leads to delays.

Wide range of products

Variations in dimensions, colors and materials increase the number of operations and setup times required in the factory, adding complexity.

High setup times

Alternately manufacturing components with different attributes all the time is extremely costly due to the setups involved at the start of each operation.

Tight margins and deadlines

As part of a highly volatile and competitive supply chain, the need to reduce costs and production lead times is vital.

What is expected with our projects:

Reducing Delays

Visibility, agility and greater assertiveness in scheduling make it possible to reduce delays and disruptions because they are identified in advance, allowing simulations to be carried out to take preventive action and eliminate them.

Increased Productivity

Scheduling rules will group items of the same color, pigment and size in the same sequence, while at the same time better synchronizing operations, reducing waiting times and thus reducing productivity losses.

Promise deadlines quickly

With a systemic view of all production sectors and scheduling, with each new demand that is simulated, it is possible to evaluate scenarios, already checking capacity and its restrictions, in order to give deadlines quickly and assertively.

Agile reprogramming

In the event of any unforeseen production problems, such as maintenance or slower-than-expected production, the possibility of quickly rescheduling the scenario allows for greater control of production and better results.