Conference Agenda

ID: 533 / RS-05: 1
Regular Paper Submission
Smart Manufacturing & Industry 4.0: Advanced, Digital and Smart Manufacturing, Industrial, Collaborative, Mobile and Software Robots
Cloud and Collaborative Technologies: Collaborative Design and Engineering
Keywords: Industry 4.0, Assembly line, Safety Issues, COMSOAL

Human-robot collaboration in assembly operations/ Assembly system 4.0

Gursel Suer¹, Najat Almasarwah², Jesus Pagan¹, Yuqiu You¹

¹Ohio University, USA; ²Mutah University, Jordan

ID: 125 / RS-05: 2
Regular Paper Submission
Data-driven Production Management: Advanced Modelling, Simulation and Data Analytics in Production & Supply Networks
Keywords: Stress-Strain Concept, Indoor Work Area, Time-Related Analyzes, Evaluation, Assessment

Methods of Forecasting Environmental Stress and Strain on Working Humans in the Digital Factory

Gert Zülch

Karlsruhe Institute of Technology, Germany

ID: 224 / RS-05: 3
Regular Paper Submission
Digital Supply Networks: Intelligent Logistics Networks Management
Smart Manufacturing & Industry 4.0: Industrial, Collaborative, Mobile and Software Robots
Keywords: Autonomous Technology, Non-Classic Logic, Paraconsistent Logic.

Paraconsistent Annotated Evidential Logic Eτ Applied to Autonomous Robots in Logistic Center

Flávio Amadeu Bernardini¹, Marcia Terra da Silva², Jair Minoro Abe³, Luiz Antonio de Lima⁴

¹Paulista University, Brazil; ²Paulista University, Brazil; ³Paulista University, Brazil; ⁴Paulista University, Brazil

ID: 512 / RS-05: 4
Regular Paper Submission
Digital Supply Networks: Artificial Intelligence and Blockchain Technologies in Logistics and DSN
Data-driven Production Management: Machine Learning and Artificial Intelligence
Smart Manufacturing & Industry 4.0: Industrial, Collaborative, Mobile and Software Robots
Cloud and Collaborative Technologies: Collaborative Design and Engineering
Keywords: Order Picking, Robotic Mobile Fulfillment Systems, Human Aspects, Multi-Agent Reinforcement Learning, Human-Robot Collaboration, Sensor Data, Recovery

Human Aspects in Collaborative Order Picking– What if Robots learned how to Give Humansa Break?

Yaxu Niu^1,2, Frederik Schulte²

¹Beijing University of Chemical Technology; ²Delft University of Technology

ID: 536 / RS-05: 5
Regular Paper Submission
Smart Manufacturing & Industry 4.0: Advanced, Digital and Smart Manufacturing, Industrial, Collaborative, Mobile and Software Robots
Keywords: Robot Selection, QFD, Multiple Preference Relations, COPRAS

An Integrated QFD Approach for Industrial Robot Selection

Gülçin Büyüközkan, Öykü Ilıcak, Orhan Feyzioğlu

Galatasaray University, Turkey