Bachelor's/Master's Thesis: LLMs as Interfaces for Complex Software
Sounds interesting? Here’s the specific research question: LLMs as an intelligent user interface for complex optimization and analysis software. Traditional chatbot interfaces allow free-form text input but do not adequately capture the actual usage contexts of complex specialized software. It remains to be seen which forms of interaction are better suited for demanding analytical tasks. In particular, the question arises as to whether LLM-based interfaces are not merely reactive to user inputs […]
Bachelor's/Master's Thesis: LLMs for Data Entry and Data Quality
Sound interesting? Here’s the specific research question: Using LLMs to support data entry, data validation, and data quality analysis. In many optimization and analysis applications, the key bottleneck is not the modeling itself, but rather the structured and high-quality collection of input data. LLMs promise to assist in converting unstructured information into structured inputs, as well as in the automatic derivation of […]
Bachelor's/Master's Thesis: LLMs and Operations Research: Benchmarking for an OPTANO Decision Catalog
Sound interesting? Here’s the specific research question: Benchmarking LLM features related to OR software to derive an OPTANO decision catalog for various use cases. OPTANO already solves the actual operations research scenario. The research question is therefore not whether LLMs can replace the optimization problem, but rather in which accompanying use cases they provide reliable added value. The aim is to investigate how well various LLM features […]
Insights: When Low Water Levels Become a Planning Challenge
Low water levels are affecting the supply of raw materials in the chemical industry. What matters is not a single alternative transport route, but the coordinated interplay of capacities, inventories, and production priorities.
Insights: How Automotive Suppliers Reduce Cost Pressure Through Better Planning
Automotive suppliers are under significant cost pressure. Mathematical optimization helps to better align decisions regarding production, capacity, inventory, and delivery capability—particularly in areas where costs often arise unnoticed: when there are conflicting objectives and uncoordinated planning assumptions.
Analytics Software Engineer (m/f/x)
Sound interesting? Here’s what you’ll be doing with us: OPTANO is our platform for user-friendly applications. Many new ideas for visualization, process support, data storage, and faster calculations are still waiting to be implemented, and we need your help to make that happen. As an Analytics Software Engineer (m/f/d), you’ll work alongside experienced colleagues to further develop the OPTANO applications and design […]
Analytics Consultant (m/f/x)
Sound interesting? Here’s what you’ll be doing with us: As an Analytics Consultant (m/f/d), you’ll take on responsibility for individual software projects in which mathematical optimization is at the heart of the solution. You’ll work closely with clients, consultants, OR specialists, and software developers to help turn complex planning and decision-making problems into practical software solutions. Your responsibilities will include […]
Insights Session: Smart Production Planning for the Chemical Industry
Optimize your production planning for the chemical industry. Join our Insight Session to learn how tactical decisions regarding production sites and capacity can help reduce costs and manage complex production networks more efficiently (available in English only).
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.