Insights: Campaign and sequence planning in chemistry
A good production plan is not enough in the chemical industry. Only when tanks, materials, changeovers and priorities fit together can a resilient process be created. This article shows why campaign and sequence planning is a decisive lever and how mathematical optimization helps to resolve conflicting objectives.
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.
Interview: Excel works ... until it doesn't
Excel is still the central tool for planning in many companies. However, with increasing complexity, it is increasingly reaching its limits. In this interview, we talk about how to recognize this, why „working“ is not the same as „optimal“ and how planning is changing fundamentally today.
Insights: Scenario-based replanning
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.
Insights: 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
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.
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.
Christina Goedecke
Linkedin Envelope Phone
Henning Burges
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.