Insights: Challenges in planning production networks
High demands are placed on modern production networks. Mathematical optimization can help to meet them.
High demands are placed on modern production networks. Mathematical optimization can help to meet them.
Finding the optimal batch size that respects all restrictions is not trivial. We show how mathematical optimization can help here.
Cross-docking enables a reduction in storage costs. At the same time, shorter lead times are realized. Measures that increase competitiveness.
How can industry make optimal use of energy to achieve a climate-neutral production infrastructure? Mathematical optimization may have the answers…
An interview with Dario Hashemi, Analytics Consultant at OPTANO, on decision-making in the energy transition.
Peak loads can considerably drive up a company’s energy costs. These can be avoided with clever planning. We show you the possibilities that are available!
OPTANO supports local schools with career guidance. Students learnt the other side of math during a visit to our company.
With mathematical optimization discrepancies between the sales forecast and the actual sales can be considerably reduced and the planning quality improved.
Mathematical optimization can contribute immensely towards efficient farm management and reduce uncertainty in the agricultural industry.
How can the medical technology industry find the right production schedule to get its products to where they are needed most? Mathematical optimization may hold the answers…
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