Simulation, Planning and Scheduling in Manufacturing
FSI-VSPAcad. year: 2019/2020
The aim of the course is to provide students with the practical knowledge in the field of modern methods for the simulation, planning and scheduling of production systems. The application of both simulation methods and APS to designing and controlling discrete systems and processes is analysed, from the point of view of a strategic planning and operational control. Modern simulation and APS software products are used in the lessons.
Learning outcomes of the course unit
Practice experiences and knowledge in the field of Planning, Scheduling and Simulation are obtained from students. Students are able to build simulation model and use this one to solve various planning and design problems using modern interactive simulation and APS tools.
Random variables and probability distribution, information processing.
Recommended optional programme components
Recommended or required reading
A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation and SLAM, John Wiley & Sons 1979 (EN)
Averill M. Law, W. David Kelton: Simulation Modeling and Analysis Paperback: 784 pages Publisher: McGraw-Hill Education; 3rd edition (March 31, 2000) Language: English ISBN-10: 0071165371 ISBN-13: 978-0071165372 (EN)
Martin Christopher: Logistic and Suply Chain Management, FT Publishing International 2016, ISBN-13: 978-1292083797 (EN)
Chang T. et al.: Computer-Aided Manufacturing, Pearson; 3 edition (July 7, 2005), ISBN-13: 978-0131429192 (EN)
Jerry Banks, Discrete-Event System Simulation • Paperback: 648 pages • Publisher: Pearson; 5 edition (July 6, 2009) • Language: English • ISBN-10: 0136062121 • ISBN-13: 978-0136062127 (EN)
Engineering Design: Products, Processes, and Systems • Hardcover: 427 pages • Publisher: Academic Press; 1st edition (September 1, 1999) • Language: English • ISBN-10: 0124301452 • ISBN-13: 978-0124301450 (EN)
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline.
Exercises are aimed to practical application of lecture contents.
Assesment methods and criteria linked to learning outcomes
Credit requirements: Participation in the exercises and the elaboration of semester work are required.
Examination: the examination consists of an oral and written part.
Language of instruction
The aim of the course is to provide students with the practical knowledge in the field of modern methods for the simulation and modelling of production systems. It focuses primarily on technological processes and manufacturing systems and applies the principles of discrete simulation for their modelling. The application of simulation methods to designing and controlling discrete systems and processes is analysed, in the field of a strategic planning and operational control. Both modern simulation and APS software products are used in the lessons. New methods and approaches are explained by means of examples and by solving industrial planning and sheduling problems. The course will familiarise students with the given field and provide them with instructions for solving particular problems. The seminars will focus on solving particular issues raised by the students.
Specification of controlled education, way of implementation and compensation for absences
Lessons are completed according to the FSI schedule. Missed lessons can be individually compensated.
Type of course unit
26 hours, optionally
Teacher / Lecturer
1. Introduction to Discrete Event Simulation
2. Description and specific features of simulation methods
3. The Simulation Process
4. Basic Modeling Components
• Machine resources
• Process plans and Jobsteps Resource allocation
• Demands and Loads
• WIPs, Jobsteps, and Expressions
5. Simulation of production systems
8. Advanced Planning and Scheduling
9. Simulation as a tool for Planning and Scheduling
10. MRP algorithms
11. APS algorithms
12. Planning of Manufacturing systems
13. Using simulation approaches for scheduling in industry
26 hours, compulsory
Teacher / Lecturer
1. Overview of modelling components
2. Projects and alternatives
3. Orders and parts
4. Process plans
5. Jobsteps: Accumulate-Split, Add-to-Material, Assemble, Assign, Batch, Inspect, Kanban, Manufacture, Move, Operation, Produce, Release, Select
6. Resources, pools, materials
7. Conveyors and AGV
9. Loads and Batches
10. APS algorithms
11. Systems for Advanced Planning and Scheduling
12. Simulation tools for Scheduling
13. Examples of using simulation approaches for scheduling in industry
eLearning: opened course