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Systems Thinking and Systems Engineering

Systems Thinking and Systems Engineering. Introduction to the course 22 January 2013 Francois Christophe Galina Medyna Eric Coatanéa. Intro. Contact info.: Galina Medyna: galina.medyna@aalto.fi 09 470 23695 weekdays 07:30 – 15:30 room 235, K1

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Systems Thinking and Systems Engineering

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  1. Systems Thinking and Systems Engineering Introduction to the course 22 January 2013 Francois Christophe Galina Medyna Eric Coatanéa

  2. Intro Contact info.: Galina Medyna: galina.medyna@aalto.fi 09 470 23695 weekdays 07:30 – 15:30 room 235, K1 Francois Christophe: francois.christophe@aalto.fi Eric Coatanéa: eric.coatanea@aalto.fi

  3. Noppa: https://noppa.aalto.fi/noppa/kurssi/kon-41.4011/luennot

  4. Objective of the course: • understand systems and viewpoints • define boundaries between a system and its environment • make models of a technical system • simulate behaviours of a technical systems

  5. Passing requirements: Course attendance: 10% Project work in class + final project presentation: 10% Individual project reports: 50% - show critical analysis of tools (strength, weaknesses) - ability to compare with other tools - present individual working methods Seminar: collective report + final presentation + poster 30%

  6. Introduction to Systems Engineering and Systems Thinking

  7. What is a system?Definitions

  8. What is a model?Definitions

  9. ProjectsMobile robot

  10. EuRobot 2012

  11. Project 1 – Modeling the robot architecture Study of different modeling languages Model of architecture at different levels Analysis of this model (How reusable? How and what to simulate on that model?)

  12. Project 2 – Analysis of the mobile robot in its environment Systems dynamics: Analysis of the robot environment: How deep is the description of the environment? What is part of the robot, what belongs to environment? Analysis of strategies and behaviours for the robot

  13. Project 3 – Definition of design tasks How to breakdown tasks? (from which viewpoint: advantages and inconvenients of each viewpoint) What are the causal connections between requirements and tasks? How to group the tasks? How to organise task schedule? How to evaluate the duration of each task?

  14. Project 4 – Risk analysis and management techniques Establish different strategies for the robot behaviour Analysis of risk between different strategies

  15. Project 5 – Bayesian network to model components and parts Study bayesian network and Netica software Evaluate a probability of success of the robot due to the use of certain components

  16. Project 6 – Interface management Study interface management techniques Make sure that each component provides the required services. Specify the needed inputs and required outputs for each component

  17. Project 7 – Mobile robot in a System of Systems Imagine now, many robots: - first similar, then different How do they interact? How do they communicate? Do they have a common goal?

  18. Project 8 – Verification and Validation How to make sure that requirements are fulfilled? Imagine tests for components, sub-systems and system? Simulate according to these tests

  19. What is a system?Definitions

  20. What is a System ? “System means a grouping of parts that operate together for a common purpose.” – Gregory Watson "Simply defined, a system is a complexwhole the functioning of which depends on its parts and the interactionsbetween those parts. • physical, such as river systems • biological, such as living organisms • designed, such as automobiles • abstract, such as philosophical systems • social, such as families • human activity, such as systems to ensure the quality of products" From: Systems Thinking: Creative Holism for Managers, M.C. Jackson, Wiley, 2003

  21. What is a model?Definitions

  22. What is a model? Francois Christophe

  23. What is a model?INCOSE glossary definitions [INCOSE, 98] Francois Christophe A representation of an actual or conceptual system that involves mathematics, logical expressions, or computer simulations that can be used to predict how the system might perform or survive under various conditions or in a range of hostile environments. (DODI 5000.2) A representation of an artifact or activity intended to explain the behavior of some aspects of it. (WG6) An abstract representation (often a mathematical representation) of an entity or an attribute. (WG6)

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