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Solution by decision

Reduce costs by deciding better, not by cutting capacity

A large share of industrial cost comes from planning decisions: lost material, energy, movements, and waiting. Enacom Digital Twins bring these costs into the decision.

Scenario comparator screen, with the base scenario and two optimizations side by side
Illustrative screen, with fictitious data. Click to enlarge.

Where the costs a plan can avoid come from

Material losses

Anticipating what will be short or in excess avoids discarding work in process and reprocessing.

Energy and fuel

Sequences that make better use of heat and equipment reduce consumption and emissions.

Movements and waiting

Fewer yard movements and shorter queues mean fewer equipment and crew hours.

Use of scarce resources

Water, fleet, and capacity are allocated considering the cost of each alternative.

Solutions for this decision

The Gemminus platform Digital Twins that support this topic.

Related case studies

Results measured in real operations, tied to this decision.

View all case studies

Frequently asked questions

Which costs can a Digital Twin help reduce?

Material losses, energy and fuel consumption, movements, waiting, and the use of scarce resources such as water and fleet, depending on each operation.

Do I need to reduce production to cut costs?

No. The idea is to decide better within the operation's real constraints, without relying on cutting capacity.

How is the result proven?

Each case study on this page shows the challenge, what was done, and the result measured in the client's operation.

Not sure which decision to start with?

Tell us what limits results today. Our team will assess with you where a Digital Twin can deliver value first.

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