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Nicole Stricker

Professor

Hochschule Aalen

Germany

Research Interests

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Professors in Germany

About

Professor Nicole Stricker is a faculty member at Hochschule Aalen in Germany. Her research focuses on adaptive production control, digitalization, and the integration of autonomous systems within Industry 4.0 frameworks. Recent publications include contributions to agile disassembly systems, circular factory processes, and the application of reinforcement learning in manufacturing environments.

Articles (12)

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2026

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2026

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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GERMANY

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Marcello Urgo

Associate Professor

Politecnico di Milano

ITALY

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Iman Taha

Professor for sustainable materials in polymer technology

Hochschule Aalen

GERMANY

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Dr.-Ing. Frederik Zanger

Director

Karlsruhe Institute of Technology

GERMANY

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Nicole Stricker

Research Interests

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Articles (12)

Dynamic reassembly control in flexible remanufacturing systems using Ant Colony Optimisation

Influence of multiple recycling on the mechanical, rheological and thermal properties of styrene maleic anhydride

Adaptive production control for agile disassembly systems in remanufacturing

Managing uncertainty in product and process design for the circular factory,Beherrschung von Unsicherheiten bei der Produkt- und Prozessgestaltung für die Kreislauffabrik

Self-learning and autonomously adapting manufacturing equipment for the circular factory,Selbstlernende und sich autonom adaptierende Produktionsanlagen für die Kreislauffabrik

Graph-based prediction of missing KPIs through optimization and random forests for KPI systems

Concept of an agile production system based on learning robots applied to disassembly,Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage

Digitalization and Industry 4.0 in companies,Aktueller Umsetzungsstand und erwartete Potenziale der Digitalisierung in der Industrie: Digitalisierung im Unternehmen – Industrie 4.0

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

Concept of an automated and modular diagnostic station in adaptable production based on the application of remanufacturing,Konzept einer automatisierten und modularen befundungsstation in der wandlungsfähigen produktion am anwendungsfall des remanufacturings

Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0

Designing an adaptive production control system using reinforcement learning

Collaborators (8)

Gisela Lanza

Debarghya Ghoshdastidar

Helena Wexel

Kai Furmans

Simon Mangold

Marcello Urgo

Iman Taha

Dr.-Ing. Frederik Zanger

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