Session | ||
Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.
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Presentations | ||
Industry 4.0: An Indian perspective 1Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur (Rajasthan) INDIA - 302017, India; 2Department of Management Studies, Malaviya National Institute of Technology Jaipur (Rajasthan) INDIA - 302017, India; 3Department of Mechanical Engineering, Indian Institute of Technology (IIT-BHU) Varanasi, India Dynamic scheduling in a flow shop using Deep Reinforcement Learning Università degli Studi di Napoli Federico II, Italy Risk Assessment and Mitigation for Industry 4.0: Implementation of a Digital Risk Quick Check Otto-von-Guericke-Universität Magdeburg, Germany A deep learning algorithm for the throughput estimation of a CONWIP line Università degli Studi di Napoli Federico II, Italy Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems 1Jacobs University gGmbH; 2Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF |