Manufacturing Systems Design

Course Description

Basic properties of production systems and manufacturing lines. Definition of jobs, operations and resource allocation. Work cell definition. Flexible manufacturing systems. Basics of queuing theory. Little?s law. Manufacturing systems production analysis and human factors. Manufacturing line balancing. System throughput and production rate. System efficiency and WIP. Production planning and Gantt charts. Labeling algorithms and time frames. JIT production. Manufacturing system control and optimization - Johnsonov algoritam, Dijkstra algoritam, Floyd-Warshal algoritam, Banker algoritam. Systems with automated guided vehicles. Manufacturing systems examples.

General Competencies

Students will be able to analyze basic properties of the manufacturing systems and design and implement supervisory control algorithms based on the system optimization and resource utilization.

Learning Outcomes

  1. explain notion of production system
  2. explain methods of work cell composition
  3. apply Little's law
  4. analyze throughput and productivity of manufacturing systems
  5. develop Gantt chart
  6. develop production plan by using optimization algorithms

Forms of Teaching

Lectures

Lectures will be held according to the weekly plan.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 0 % 20 % 0 % 20 %
Homeworks 0 % 10 % 0 % 10 %
Mid Term Exam: Written 0 % 30 % 0 %
Final Exam: Written 0 % 40 %
Exam: Written 50 % 70 %

Week by Week Schedule

  1. Basic properties of production systems and manufacturing lines. Definition of jobs, operations and resource allocation. Work cell definition.
  2. Flexible manufacturing systems.
  3. Basics of queuing theory. Little’s law.
  4. Manufacturing systems production analysis. System throughput and production rate.
  5. System efficiency and WIP.
  6. Production planning and Gantt charts.
  7. Labeling algorithms and time windows.
  8. midterm exam
  9. JIT production. Kanban systems. Material requirements planning.
  10. Manufacturing system control and optimization - Johnson algorithm.
  11. Dijkstra algorithm, Floyd-Warshal algorithm, Banker algorithm.
  12. Systems with automated guided vehicles.
  13. Manufacturing systems examples.
  14. Manufacturing systems examples.
  15. final exam

Study Programmes

University graduate
Control Engineering and Automation (profile)
Recommended elective courses (3. semester)

Literature

S. Bogdan, F.L. Lewis, Z. Kovačić, J. Mireles; (2005.), Manufacturing Systems Control Design;, Springer-Verlag
H. Noori, R. Radford; (1995.), Production and Operations Management;, McGraw-Hill
MengChu Zhou, Kurapati Venkatesh (.), Modeling, simulation and control of flexible manufacturing systems, World Scientific

Laboratory exercises

General

ID 86511
  Winter semester
4 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Exercises
4 Laboratory exercises
0 Project laboratory

Grading System

90 Excellent
75 Very Good
60 Good
50 Acceptable