Module H: Production Management

Course description

Production operations management. Management and control hierarchy, multi-level control. Classification of production systems and related production strategies.

Production information systems. ERP, MRP II and MES systems, batch control systems, production control systems.

Quantitative methods in production planning and control. Demand planning and forecasting methods. Linear and mixed integer linear programming. Production planning and inventory management.

Planning and scheduling in production and services. Planning and scheduling models and algorithms. Local search methods, artificial intelligence methods and heuristics, Petri net scheduling. Planning and scheduling software.

Production performance monitoring. Key performance indicators and performance metrics. Overall equipment efficiency (OEE). Development of performance monitoring systems. Presentation of performance indicators and user interfaces.

Project planning. Network analysis, critical path method (CPM), PERT method. Project management software.

Integration and standardisation in production process control and re-engineering. Production planning and control systems trends and developments.

Course is carried out on study programme

Elektrotehnika 2. stopnja

Objectives and competences

Basic knowledge of higher control levels in technological processes and basics of operations management, presentation of software and related information technologies in support of production management, quantitative methods of production planning and control, production performance monitoring and optimization of production processes, basic principles of project planning and control, and operations planning and scheduling in production and services.

Learning and teaching methods

Lectures, laboratory exercises.

Intended learning outcomes

After successful completion of the course, students should be able to:

  • describe the role of operations managements in production systems functioning,
  • link production planning and control levels with corresponding software tools within production information systems,
  • formulate linear programming problems for production planning optimization
  • solve planning and scheduling problems with discrete optimization methods,
  • evaluate available methods and algorithms for implementation of planning and scheduling in production and services.
  • present production performance monitoring principles,
  • analyze project plan with the use of project management methods.

Reference nosilca

  1. GRADIŠAR, Dejan, GLAVAN, Miha, STRMČNIK, Stanko, MUŠIČ, Gašper. ProOpter: an advanced platform for production analysis and optimization. Computers in industry, ISSN 0166-3615, jun. 2015, vol. 70, str. 102-115,
  2. MUŠIČ, Gašper, NAPALKOVA, Liana, PIERA, Miquel Àngel. Performance evaluation of flexible manufacturing systems by coloured timed Petri nets and timed state space generation. V: CAMPOS, Javier (ur.), SEATZU, Carla (ur.), XIE, Xiaolan (ur.). Formal methods in manufacturing, (Industrial information technology series). Boca Raton; London; New York: CRC Press, cop. 2014, str. 381-408.
  3. GLAVAN, Miha, GRADIŠAR, Dejan, STRMČNIK, Stanko, MUŠIČ, Gašper. Production modelling for holistic production control. Simulation modelling practice and theory, ISSN 1569-190X, jan. 2013, vol. 30, str. 1-20.
  4. ZORZUT, Sebastjan, JOVAN, Vladimir, GRADIŠAR, Dejan, MUŠIČ, Gašper. Closed-loop control of a polymerisation plant using production performance indicators (PIs). International journal of computer integrated manufacturing, ISSN 0951-192X. [Print ed.], 2009, vol. 22, no. 12, str. 1128-1143.
  5. MUŠIČ, Gašper, MATKO, Drago. An admissible-behaviour-based analysis of the deadlock in Petri-net controllers. Simulation modelling practice and theory, ISSN 1569-190X, Vol. 16, iss. 8 (Sep. 2008), Elsevier, 2008, str. 1077-1090.  

Study materials

  1. F. R. Jacobs, R. B. Chase, Operations & Supply Chain Management, Mcgraw Hill Higher Education, 2013.
  2. T. Christou, Quantitative Methods in Supply Chain Management, Models and Algorithms, Springer, 201
  3. M. L. Pinedo, Planning and Scheduling in Manufacturing and Services, Second edition, Springer, 2009.
  4. S. Strmčnik, R. Hanus, Đ. Juričić, R. Karba, Z. Marinšek, D.Murray-Smith, H. Verbruggen, B. Zupančič, Celostni pristop k računalniškemu vodenju procesov, 1. izdaja, Univerza v Ljubljani, Fakulteta za elektrotehniko, 1998.

Bodi na tekočem

Univerza v Ljubljani, Fakulteta za elektrotehniko, Tržaška cesta 25, 1000 Ljubljana

E:  dekanat@fe.uni-lj.si T:  01 4768 411