Market-Driven Systems
Marknadsstyrda system

FRTN20F, 7.5 credits

Valid from: Spring 2017
Decided by: Professor Thomas Johansson
Date of establishment: 2016-10-27

General Information

Division: Automatic Control
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: FRTN20
Teaching language: English

Aim

To teach the basic principles for automation systems in the manufacturing industries and their dynamic interaction with market factors such as variations in demand and prices for raw material, transports, and inventory. To give insight into current problems and trends of companies in region, through guest lectures and projects.

Goals

Knowledge and Understanding

For a passing grade the doctoral student must

• be able to define and explain basic concepts in manufacturing automation
• be able to derive basic properties of a production line from the properties of the individual units, and be able to characterise how the units influence the global behaviour
• be able to analyze how to balance supply and demand in a supply chain with multiple units
• be aware of new industrial concepts and related terminology
• be able to distinguish between physical and functional enterprise models
• be familiar with the most important industry standards for automation systems

Competences and Skills

For a passing grade the doctoral student must

• be able to, independently, interpret technical specifications on a production system and be able to recognize common constraints, based on an understanding for how the automation system will be used and how it will interact with its environment
• be able to draw conclusions from numerical calculations about the plausibility of models and specifications
• be able to analyze production characteristics through the use of various methods

Judgement and Approach

For a passing grade the doctoral student must

• understand relations and limitations when simplified models are used to describe a complex dynamic production system
• show the ability for team work and cooperation in projects and project presentations

Course Contents

Dynamic models for product flows, effects of feedback, optimization of dynamical systems with linear constraints, measures for production efficiency, issues that effect the economic outcome of an investment in automation, functional enterprise models, physical enterprise models, software systems for automation, industry standards. New concepts (such as Industrie 4.0 and Internet of Things) and related terminology.

Course Literature

The course material consists of reading material for each lecture, exercises and solutions, laboratory manuals and project information. The reading material is a set of articles and chapters from various books. The course material is collected in a binder which is provided by the department free of cost.

Instruction Details

Types of instruction: Lectures, laboratory exercises, exercises, project

Examination Details

Examination format: Written exam. Written exam, project and two laboratory exercises.
Grading scale: Failed, pass
Examiner:

Admission Details

Course Occasion Information

Contact and Other Information

Course coordinator: Charlotta Johnsson <charlotta.johnsson@control.lth.se>