Insights: Optimization potential in distribution networks
When optimizing distribution networks, the key question is: Which customer should be supplied from which depot and via which route?
When optimizing distribution networks, the key question is: Which customer should be supplied from which depot and via which route?
Mathematical optimization makes it possible to save CO2 without major investment – and reduce costs at the same time. We show you how!
By using material resources more efficiently, companies can cut costs and remain competitive. This can be achieved with smart planning.
From strategic planning such as the development of an optimal supply network, to the operational task of daily route planning – mathematical optimization is the solution for more last-mile sustainability.
How to ensure the reliable and cost-effective production and distribution of renewable energy with mathematical optimization.
Is supply chain transformation a way towards differentiation in the highly competitive environment of the chemical industry?
Businesses will still face major challenges in 2023. We present the 5 biggest planning challenges in this new year and explain how mathematical optimization can help.
How can mathematical optimization help to make production processes more ecologically sustainable? Here are some thoughts on this subject.
The volatility of renewable energy sources has implications for power grids. Mathematical optimization can support system stability.
Desk-sharing is an ideal concept for hybrid work. Using mathematical optimization to reduce workspace can help to save costs in your company.
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