Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FRTN20F valid from Spring 2017

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  • English
  • Every spring semester
  • 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.
  • 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.
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
Types of Instruction
  • Lectures
  • Laboratory exercises
  • Exercises
  • Project
Examination Formats
  • Written exam
  • Written exam, project and two laboratory exercises.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
  • 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.
Further Information
Course code
  • FRTN20F
Administrative Information
  •  -10-27
  • Professor Thomas Johansson

All Published Course Occasions for the Course Syllabus

1 course occasion.

Start Date End Date Published
2017‑03‑20 2017‑05‑30 2016‑10‑31

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