Terrific Productivity

The data-driven approach helps to explore constraints and create optimal production regimes.

About productivity

To improve productivity, we have to balance all factors of production:
— number of shifts
— daily schedule assignments
— procurement volumes and timing
— sales volume and structure
— production technology

The data-driven approach helps to explore constraints and create optimal production regimes.

Challenges

New technology can help to simulate complex.

Improve plant’s productivity

There is a direct link between productivity and the company's profit and competitiveness with local or global competitors

Decide on a proper balance in labor and equipment to kill bottlenecks

Especially crucial with current labor market

Reduce work in progress amount

Do what is essential for the business. Today.

Create efficient daily schedules for the labor force and tasks

Transparent operations and

Increase production transparency for different teams

Elegant visualization put everyone on the same page

Solution

Generation of an optimal digital twin of an entire production system
with the aid of AI.

Automated generation of an optimal digital twin of an entire production system with the aid of artifical intellect (AI): business processes and rules are established automatically according to the best variant basing on the principle of maximum productivity within a minimum amount of time.

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Speed

1. Fast generation of a digital twin

2. The model is based on a limited amount of accurate data

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Optimal version of the production system

Automatic generation instead of the description  of existing non-optimal processes and errors

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Addressing the system as a whole

Full understanding of cause and effect relationships: the impact of the interaction of parts and connections between them on the entire system

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Low cost of ownership

Programmers and narrow specialist are not required

Video

Video for different cases of planning (should be prepared together wit BFG)

How it works

Ideation Workshop takes place online (webinar) or offline in your office.
One week before the workshop,