Oliver Stollmann

Actyx brings together a world-class team of scientists, engineers and developers working toward a new disruptive vision of the factory of the future. We are hiring: joinus@actyx.io!

Working in the cognitive automation group: - developed a decentralized control system for industrial transportation systems (leveraging modern M2M communications and adaptive user-interfaces, the configuration time for industrial transportation systems was reduced by 1-2 orders of magnitude), - organized the planning, writing and submission of an EU grant proposal (4 countries, 11 members), - interfaced with industry partners to understand and contribute to the digital industry vision.

• Developed a resource-contention-aware integrated manufacturing planner/scheduler as part of a DARPA project. • Applied heuristic search methods to solve a real-world job-shop problem.

• Contributed to a research project evaluating the tractability of using Partially Observable Markov Decision Process for the optimization of Waste-to-Energy plants in the face of uncertain market demand. • Developed a hardware-in-the-loop controller evaluation framework. (part-time: 24%, 10 hrs/week)

• Developed a forecasting model for the optimization of Waste-to-Energy plant production. • Overcame difficulties associated with high-reliability, time-dependent control software.

• Worked in the training workshop, the sheet-metal shop and the press plant • Gained insight into one of the world’s leading car manufactures’ research and development department

• Worked in a variety of technical departments, including the press plant, the sheetmetal shop, the assembly line and the foundry • Profited from working with the engineers of the world’s most advanced manufacturer of high quality domestic appliances and machines for commercial application

• Field: mechanical and process engineering • Specialization: production optimization, planning/scheduling (artificial intelligence) • Thesis: Manplan: a Fully-Integrated Manufacturing Process Planner and Scheduler

• Field: mechanical and process engineering • Specialization: optimization, manufacturing, logistics, decision making under uncertainty • Thesis: Automatic Extraction of Partially Observable Markov Decision Processes from Simulink models