Simulation, Planning and Scheduling in Manufacturing (FSI-VSP-K)

Academic year 2018/2019
Supervisor: doc. Ing. Simeon Simeonov, CSc.  
Supervising institute: ÚAI all courses guaranted by this institute
Teaching language: Czech
Aims of the course unit:
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.
Learning outcomes and competences:
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.
Prerequisites:
Random variables and probability distribution, information processing.
Course contents:
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.
Teaching methods and criteria:
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.
Controlled participation in lessons:
Lessons are completed according to the FSI schedule. Missed lessons can be individually compensated.
Type of course unit:
    Guided consultation  1 × 17 hrs. optionally                  
    Controlled Self-study  1 × 35 hrs. compulsory                  
Course curriculum:
    Guided consultation 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
    Controlled Self-study 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
8. Transporters
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
Literature - fundamental:
1. Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
3. Jerry Banks, Discrete-Event System Simulation
4. Kusiak A. - Engineering Design
Literature - recommended:
1. A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation
2. Martin Ch. - Logistic and Suply Chain management
3. Chang T. et al. - Computer-Aided Manufacturing
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
B3S-K combined study B-AIŘ Applied Computer Science and Control -- GCr 4 Compulsory 1 2 S