Course detail

Simulation, Planning and Scheduling in Manufacturing

FSI-VSP-KAcad. year: 2022/2023

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.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

doc. Ing. Simeon Simeonov, CSc.

Department

Institute of Automation and Computer Science (ÚAI)

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.

Prerequisites

Random variables and probability distribution, information processing.

Co-requisites

Not applicable.

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.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

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.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Averill M. Law, W. David Kelton: Simulation Modeling and Analysis
Jerry Banks, Discrete-Event System Simulation
Kusiak A. - Engineering Design

Recommended reading

A. Alan B. Pritsker, Claude D. Pegden: Introduction to Simulation
Chang T. et al. - Computer-Aided Manufacturing
Martin Ch. - Logistic and Suply Chain management

Classification of course in study plans

  • Programme B-STR-K Bachelor's

    specialization AIŘ , 3 year of study, winter semester, compulsory

Type of course unit

 

Guided consultation in combined form of studies

17 hod., compulsory

Teacher / Lecturer

doc. Ing. Simeon Simeonov, CSc.

Syllabus

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

Guided consultation

35 hod., optionally

Teacher / Lecturer

doc. Ing. Simeon Simeonov, CSc.

Syllabus

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