OPTANO Insights: Planning, Analytics and Best Practices

Practical articles on supply chain, prescriptive analytics and OR. How companies can improve their planning in a measurable and data-based way with OPTANO.

OPTANO Insights: Planning, Analytics and Best Practices

Practical articles on supply chain, prescriptive analytics and OR. How companies can improve their planning in a measurable and data-based way with OPTANO.

Reduce CO₂ emissions and save costs at the same time

Mathematical optimization makes it possible to save CO2 without major investment - and reduce costs at the same time. We show you how!

Service level vs. costs

The optimum balance between cost efficiency and service quality as one of the objectives of the Supply Chain Triangle.

Optimization of the product portfolio

Mathematical methods help to master complex relationships and countless options in the product portfolio. We show you how.

Optimal safety stocks

High safety stocks give the good feeling of always having enough in stock, but also tie up a lot of capital. We show you how to find the optimum value.

Mathematical optimization for sustainable value creation

How can value chains be optimized and made ecologically sustainable? Analytics can help and even create a competitive advantage.

The added value of data: Why it's worth conquering the data mountain

For many companies, data preparation seems like an insurmountable mountain. But it's worth the climb - the benefits are huge.

Freeing up capital through optimal inventory

High stock levels tie up capital, while at the same time production must be secured despite supply chain problems. What is the optimum stock level?

February 17, 2025

From transit to triumph

Taking transport transit times into account optimizes production planning and reduces costs. Digital solutions balance materials, transportation, inventories and reliability.

February 6, 2025

Tariff increases put global supply chains under pressure

International trade and economic policy is in a state of flux. Geopolitical tensions, trade wars and new tariffs are creating additional uncertainty.

January 30, 2025

Challenges in the supply chains of the automotive industry

The automotive industry is in a state of upheaval: global market changes, technological advances and strict environmental regulations are driving change.

January 3, 2025

Resilient supply chains in the pharmaceutical industry

Many children had to go to hospital in winter because there were no antibiotics. Instead of being treated at home, an inpatient infusion was often necessary.

February 27, 2026

Interview: Optimization of transport networks

This interview with our experts shows why rising cost pressure and increasing complexity make structural optimization of transport networks necessary and what concrete potential this offers.

January 26, 2026

Complex CEP transport networks

How a data-driven proof of concept can identify short-term linehaul cost savings of ~5-10% - laying the foundation for holistic network optimization.

December 9, 2025

Mathematical optimization for the parcel industry

The peak season for parcel services begins with the holidays. Shipment volumes rise sharply, while customers expect particularly fast and punctual deliveries right now.

Insights: Replanning in the event of disruptions in chemical production planning

How do chemical plants react to raw material shortages, energy problems and logistics disruptions? The article shows why replanning in chemical production planning quickly becomes a complex decision-making problem - and how mathematical optimization helps to find reliable alternatives under real restrictions.

Insights: New US tariff plans for the pharmaceutical industry

The new US tariff plans for pharmaceuticals not only affect costs, but entire supply chains. The article shows what this means for pharmaceutical companies in Europe and their planning.

Insights: Inventory and production planning in the chemical industry

How chemical companies can better balance service, inventory and production and why Excel has its limits when it comes to integrated inventory and production planning.

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