Robotized Systems Design

Learning Outcomes

  1. Explain the classification of robotized systems
  2. Analyze the performance of robotized systems
  3. Apply the methods for balancing of production lines
  4. Apply modeling method using queuing theory
  5. Apply job scheduling algorithms
  6. Apply methods of clustering jobs into workstations

Forms of Teaching

Lectures

Laboratory

Week by Week Schedule

  1. Warehouses, Automated Guided Vehicles, Flexible manufacturing systems
  2. Throughput, Production rate, Work-in-process
  3. Work cells and stations, Flexible manufacturing systems
  4. Basic concepts
  5. The Erlang model, M/M/1 and M/M/c queue
  6. The GI/G/1 queue, The GI/G/c queue
  7. Network of queueing systems
  8. Midterm exam
  9. Time windows
  10. Johnson's algorithm
  11. Banker's algorithm
  12. Dijkstra algorithm
  13. Shifting bottleneck heuristic
  14. Just-in-time production, Kanban strategy
  15. Final exam

Study Programmes

University graduate
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Literature

(.), G. L. Curry and R. M. Feldman, “Manufacturing Systems Modeling and Analysis” , Springer, 2011.,
(.), W. J. Hopp, M. L. Spearman: “Factory Physics”, Irwin McGraw-Hill, 2000. ,
(.), K. Baker, D.Triesch: Principles of Sequencing and Scheduling 2009. Wiley.,

For students

General

ID 222751
  Winter semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
8 Laboratory exercises