Virtual Learning Factory Toolkit
  • Virtual Learning Factory Toolkit
  • VLF Knowledge Base
    • Factory Data Model
      • OWL Classes
      • SPARQL Queries
      • SPARQL Updates
    • Instantiation of Factory Models
      • Assets
        • Assets in Spreadsheet
        • Assets in JSON
        • Assets in Ontology
      • 3D Models of Assets
        • 3D Models for Virtual Reality
      • Statechart
      • Animations
      • Data Repositories
        • Local Repository
        • Remote Repository
  • VLF Tools and Libraries
    • OntoGui
      • Modules
        • Control Panel
        • Individual Manager
        • System Design
        • Utilities
      • Personalization
    • OntoGuiWeb
      • Modules
        • Control Panel
        • SPARQL
        • Graphs OWL
        • Utilities
        • Asset Design
        • System Design
        • System Control
        • Performance Evaluation
        • MQTT Sync
        • Virtual Environment
        • Graphs Eng
        • StateChart
      • Personalization
    • jsimIO
      • How to start
      • JMT Overview
        • JSim
          • Model generation
          • Launch of the simulation
          • Reporting
        • Bibliography
    • VEB.js
      • Functionalities
      • Input/Output files
      • Integration with other software tools
      • Advanced Users
    • ApertusVR
    • MTM
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • MOST
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • RULA
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • OCRA
      • How to start
      • Prepare input data
      • Execution and results
  • Use Cases
    • Automated Assembly Line
    • Assets and Animations
    • Modelling of Factory Assets
      • Modelling of an Assembled Product
      • Modelling of a Workstation
      • 3D Modelling of a Workstation for Virtual Reality
    • Process Modelling
      • Modelling an Assembly Process
    • Modelling of a manufacturing system
      • Modelling in OntoGui
      • Modelling a Job Shop using OntoGui
      • Modelling of a Flow Shop using OntoGui
      • Modelling a Hybrid Flow Shop using OntoGui
      • Modelling an assembly system using OntoGui
    • Performance evaluation using jsimIO
      • Performance evaluation of a manufacturing system
        • Performance evaluation in Jsim
        • Performance evaluation of a Flow Shop using Jsim
        • Performance Evaluation of a Job Shop using JSim
        • Performance evaluation of a Hybrid Flow Shop using Jsim
        • Performance evaluation of an assembly system using Jsim
      • jsimIO Assembly
      • jsimIO Automatic
      • jsimIO Production
  • Classworks
  • Advanced Features
    • JMT model
      • Automatic generation of a JMT model
      • Automatic generation of animations
    • Enabling technologies
      • Node-RED
        • Node-RED tutorial
      • RDF libraries
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  1. VLF Tools and Libraries
  2. jsimIO

JMT Overview

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Last updated 3 years ago

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Introduction

(JMT) is a suite of applications developed by Politecnico di Milano and Imperial College London and released under GPL license.

The project aims at offering a comprehensive framework for performance evaluation, system modeling with analytical and simulation techniques, capacity planning and workload characterization studies.

The suite includes six Java applications:

  1. JSIMgraph - Queueing network and Petri net simulator with graphical user interface

  2. JSIMwiz - Queueing network and Petri net simulator with wizard-based user interface

  3. JMVA - Mean Value Analysis and Approximate solution algorithms for queueing network models

  4. JABA - Asymptotic Analysis and bottlenecks identification of queueing network models

  5. JWAT - Workload characterization from log data

  6. JMCH - Markov chain simulator

Versions

Download:

Manual:

References

M.Bertoli, G.Casale, G.Serazzi. JMT: performance engineering tools for system modeling. ACM SIGMETRICS Performance Evaluation Review, Volume 36 Issue 4, New York, US, March 2009, 10-15, ACM press. () ()

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