Geographic Information Science and Technology as key approach to unveil the potential of Industry 4.0 how location and time can support smart manufacturing

ICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings

Volumn 2, Issue , 2015, Pages 463-470

  Schabus, Stefan ^a   Scholz, Johannes ^b  

^a UNIVERSITY OF SALZBURG   (Austria)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Geographic Information Science; Industry 4.0; Smart manufacturing; Space and time

Indexed keywords

AGRICULTURAL ROBOTS; CONFORMAL MAPPING; DATA HANDLING; DATA VISUALIZATION; FLOW CONTROL; GEOGRAPHIC INFORMATION SYSTEMS; INDUSTRY 4.0; INFORMATION ANALYSIS; LEARNING ALGORITHMS; QUALITY CONTROL; ROBOTICS; ROBOTS; SELF ORGANIZING MAPS; SPATIAL VARIABLES MEASUREMENT; VISUALIZATION;

ARTIFICIAL NEURAL NETWORK ALGORITHM; GEOGRAPHIC INFORMATION SCIENCE; GEOGRAPHICAL INFORMATION; MANUFACTURING COMPANIES; SELF LEARNING ALGORITHMS; SMART MANUFACTURING; SPACE AND TIME; SPATIAL TEMPORAL ANALYSIS;

ENGINEERING EDUCATION;

EID: 84943575791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005510804630470     Document Type: Conference Paper

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