Insights: Scenario-based replanning

Scenario-based replanning in pharmaceuticals and chemicals

When demand, capacities or material availability change, Excel quickly reaches its limits in production planning. This article shows how pharmaceutical and chemical companies can set up new planning more reliably, quickly and comprehensibly.

Interview: Dynamic network realignment of volatile supply chains

Supply chains today are under constant pressure of uncertainty, while established network structures are increasingly reaching their limits. The interview shows why traditional planning approaches are no longer sufficient and how companies can make better decisions.

Insights: Planning Governance and Transparency

Planning Governance and Transparency

Planning rarely fails because of data - but because of inconsistent decision-making logic. The article shows why spreadsheet-based planning reaches its limits and how mathematical optimization helps to make complex decisions consistently and reliably.

Interview: Harnessing hidden potential in the Linehaul

Linehaul Analyzer

Many linehaul networks function reliably on a day-to-day basis. Timetables are in place, processes work, procedures are well-rehearsed. And yet a closer look often reveals that not everything that works is really efficient.

End-to-end decision support in retail logistics

Cover picture for Insights End-to-end optimization in retail logistics

End-to-end decision support reduces total costs in retail logistics by 5-10 % through holistic modeling instead of silo optimization. Find out in our insights how intelligent decision support achieves this.

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.

Retail logistics under pressure

Retail logistics under pressure

Logistics optimization with mathematical optimization: Up to 15 % lower costs, 25 % less CO₂ and higher capacity utilization thanks to multi-destination models.