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Title: ERASMUS 09


1
ERASMUS 09
Simulation Highway Step by Step to Common
Environment
Warsaw University of Technology
Prof. Egils Ginters
Sociotechnical Systems Engineering
Institute Vidzeme University of Applied
Sciences E-mail egils.ginters_at_va.lv
2
Introduction
  • The decision making in the obstacles of
    technological society becomes very difficult due
    to complexity of technological processes
  • The requirements for situations forecasting
    and transparency of the scenarios in
    manufacturing before decision making are topical
    due to high costs of the equipment and labour
  • The varied simulation tools can be used for
    solving the tasks mentioned above

3
The Systems
  • Physical and Conceptual or Abstract systems
  • Open and Closed systems
  • Continuous and Discrete systems
  • Static and Dynamic systems
  • Linear and Non-linear systems
  • Deterministic and Stochastic systems
  • Technical, Social (environmental, biological
    etc.) and Sociotechnical systems

Steins, K. (2006). Introduction to Simulation.
Intl Masters Programme in Manufacturing
Management, Linkoping University.
4
The Systems Social systems
  • Interdependent objects and/or subsystems
  • Objects are humans, individuals, informal
    groups, organizations, biologic and natural
    objects etc.
  • Interaction with systems environment and
    other systems
  • Wide amount of important factors can be
    stochastic
  • Self-organization, Cognition and continual
    Evolution is typical
  • Model structure can vary during analysis and
    operation

5
The Systems Technical systems
  • Finite amount of the states
  • Limited amount of observed perturbations
    (factors)
  • Control algorithm mostly does not support
    interaction with outer systems
  • No Self-organization, Cognition and
    continual Evolution
  • Influence of human or biologic factor is
    limited

6
The Systems Sociotechnical systems
  • Dual nature
  • Complex structure
  • Distributed simulation
  • Different technologies in the same framework
  • Real systems

7
The Systems Technical, Social and Sociotechnical
systems
  • Traffic lights control system
  • Driver (human) behaviour system

Weather
Pollution
Sociotechnical
Health
Sleep
Lighting
Drugs
Spirits
Stress
Knowledge
8
The Systems Decision making
  • What happen if....?
  • How to forecast?

9
Simulation Definition
  • Simulation is the imitation of the
    operation of a real-world process or system over
    time.
  • Banks, Jerry (1998). Handbok of simulation. John
    Wiley Sons, ISBN 0-471-13403-1.
  • Simulation modeling and analysis is the
    process of creating and experimenting with a
    computerized mathematical model of a physical
    system.
  • Chang, Chris (2004). Simulation modeling
    handbook a practical approach, CRC Press LLC,
    ISBN 0-8493-1241-8.

10
Simulation When?
  • Analytical analysis is impossible
  • - Uncertainty (stochastic processes)
  • - Complexity too much important factors
  • Real life experiments are impossible
  • - The goal system does not exist yet
  • - There is too much risk
  • - The costs are too high

11
Simulation Technologies
  • System dynamics and world (large systems)
    models
  • Micro analytical simulation models
  • Queuing models
  • Multilevel simulation models
  • Cellular automata
  • Agent-based models
  • Learning and evolutionary models

Gilbert, Nigel, Klaus G. Troitzsch (2006).
Simulation for the Social Scientist. Second
Edition. ISBN 139780335221493, Open University
Press.
12
Case Studies Simulation tasks in livestock
products manufacturing
  • System dynamics and world (large systems)
    models
  • Changes of land acreage used in agriculture
  • Forecasting of changes in proportion of
    production modes
  • Estimation of influence of livestock products
    manufacturing on environment and environmental
    politics.
  • Queuing models
  • -Logistics processes Animals transfer and
    handling (purchasing, selling, liquidation)
  • -Procurement and storing of forage
  • -Routes planning.
  • Micro analytical simulation models
  • -Modelling of manufacturing and service processes
    at the farm level.

13
Case Studies Simulation tasks in livestock
products manufacturing
  • Multilevel simulation models
  • -Products quota planning
  • -Forecasting of food market and volume of
    agricultural manufacturing
  • -Tax policy planning at the state level.
  • Agent-based models
  • -Infection disease spreading
  • -Forecasting of epizootic situation
  • -Estimation of changes in human resources
  • -Planning of quality of the manufacturing
  • Learning and evolutionary models
  • -Learning and training processes modelling
  • -Animals quality assessment
  • -Estimation of inbreeding and heterosis.

14
Simulation Technologies and Tools
  • System dynamics modelling DYNAMO, Vensim,
    POWERSIM, STELLA and iThink
  • Microanalytical simulation MICSIM, UMDBS,
    STINMOD, DYNAMOD, CORSIM
  • Queuing models DELSI 1.1., OMNET, QSIM, QPR
    Process, general discrete-event systems EXTEND,
    SIMPLE, ARENA, SIMUL8, AutoMod, WITNESS
  • Multilevel modelling HLM, MIMOSE, MLwiN, aML
  • Cellular automatons CAFUN, LCAU, CASim,
    Trilife, JCASim, CellLab, CAGE, SITSIM
  • Agent-based models AgentSheets, NetLogo,
    AnyLogic, SWARM, RePast
  • Learning and Evalutionary Models Artificial
    Neural Nets (ANNs), Genetic Algorithms (GAs) and
    Genetic Programming (GP), Reinforcement Learning
    (RL)

15
Problems in Simulation Use
  • Applied simulation technologies and tools are
    different and complex

16
Simulation Highway Concept
  • Common approach and rules to access the
    simulation models

17
Simulation Highway Concept
18
Simulation Highway C-translation
19
Simulation Highway C-translation CASE
  • Ligatne Natural Trails
  • Founded in 1975
  • Integrated tourism object for recreation and
    ecosystems research
  • More than 100.000 visitors
  • Nature trail with animals 5.5km wild nature
    trail 1.3km scenic route for cars 5.1km trail
    along the Gauja river 2.0km

20
Simulation Highway C-translation CASE- Extend
21
Simulation Highway C-translation CASE-NetLogo
22
Simulation Highway C-translation CASE
  • CORBA, HLA
  • C-translation (Simulation Tools lt-gt
    Distributed Environment)
  • - From Simulation Terms and Languages
  • - To Distributed Simulation Environment Terms and
    Formats.

23
Simulation Highway Concept
OK
24
Simulation Highway B-translation
  • B-translation (Systems Specification lt-gt
    Simulation Tools)
  • - From Formal Languages and Analytic Models
  • - To Simulation Terms and Languages.

25
Simulation Highway B-translation SimQL/SimAL
26
Simulation Highway Concept
OK ?
OK
27
Simulation Highway A-translation
  • A-translation (Applied Processes lt-gt Systems
    Specification)
  • -From applied HMI in Natural Language, Graphs and
    Tables
  • -To Formal Languages and Analytic Models

28
Simulation Highway Concept
!!!
OK ?
OK
29
Conclusions
  • Simulation is the great instrument, which can
    enhance decision making at different levels of
    the management and control.
  • Great instrument is nothing without
    convenient and universal interface granting
    access to everybody without specific IT knowledge
  • Simulation Highway common approach and
    rules to access the simulation environment

30
Simulation Highway Step by Step to Common
Environment
  • Thank you for attention !
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