Operations
scheduling

We develop tools and mathematical models to optimize operations scheduling.

This allows us to support the following decisions:

Evaluate the optimal sequence of tasks and resource allocation to minimize execution times and balance loads.

Maximize resource utilization and reduce downtime.

Decide on equipment and task scheduling to meet deadlines.

Select scheduling methods and algorithms to maximize operational efficiency.

Establish preventive maintenance scheduling policies to reduce downtime.

From mathematical modeling and meta-heuristic techniques, high computational performance can be obtained for very complex problems.

Modeling
capabilities

Representation of operations and resources in the production process.
Modeling of task sequences, execution times and prioritization policies.
Characterization of workload, processing times and complex logics in manufacturing routes.
Representation of set-up and change-over times.

Benefits and potentials

Maximize operational efficiency and minimize downtime.
Generate optimal schedules that meet delivery deadlines.
Identify improvement opportunities to increase productivity and reduce costs.
Solve complex problems in computationally efficient times.

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projects