• Production scheduling
    In the area of production, there are various tasks that represent classical application areas for mathematical optimization and simulation models: Production logistics, production planning and control systems or capacity planning including maintenance concepts such as predictive maintenance.

The planning goals in the area of production vary from industry to industry. While in the process industry the plants are often very expensive and are used to the best possible capacity, in other industries the materials are expensive and are planned with higher capacity buffers and produced according to orders. These target values are taken into account, for example, in production planning and control.

The different target values in production planning, capacity restrictions at different locations or sales uncertainties can be mapped in a targeted manner through optimization and simulation. By using sensors or the installation of additional sensors, predictions about the probability of failure can also be made, e.g. by using models based on artificial intelligence. In combination with the industry knowledge from the energy sector, logarithmo also offers benchmarking and potential analyses in the field of energy efficiency.

Monitoring of the operating status

Monitoring of reliability, bottlenecks or energy efficiency.

Capacity scheduling

Ex-post analyses for internal material flow planning to support optimization measures.

Planning of warehouse stocks

Optimisation of stock levels to ensure a smooth overall process.

Our portfolio

Manufacturing logistics

Visualization of internal transports, e.g. in the form of a heatmap. Uncovering potentials.

Coordination of production processes and planning of warehouse stocks to ensure a smooth overall process.

Production scheduling

Creation of individual simulation and optimization models with the aid of an existing toolkit. This enables analyses in the global supply chain context.

Analysis of the current production processes with regard to throughput times, failure probabilities or quality. Support in planning capacity expansions.

Monitoring & Forecasting

Monitoring of the current system status using web applications that can be called via the browser or mobile device. Early alerting in case of deviations from the TARGET process.

Load profile analyses to uncover potential energy savings. Additional analyses, e.g. to save grid charges for investments in energy storage.

Use of existing sensor data to point out machine failures at an early stage (e.g. through models based on artificial intelligence).

Try now! Demo applications from logarithmo