ChiAha
  • ReliaSim Overview
    • Getting Started
    • Navigation
    • Structure
      • Node Types
        • Buffers
        • Constraints
          • Limits
          • Interrupts
            • Interrupt Types
            • Time to Failure
            • Time to Repair
            • Distributions
              • Fixed Distribution
              • Uniform Distribution
              • Normal Distribution
              • Weibull Distribution
              • LogNormal Distribution
              • Johnson SU Distribution
        • Splits
        • Merges
        • Conveyors
        • Conversions
    • Experiments
      • Experiment Types
      • Experiment Parameters
    • Reports
      • OEE
      • Single Run Results
      • Multi-Run Results
      • Buffer Trade-off Results
      • Interrupt Loss/Gain Results
  • ChiAha Discrete Rate Simulation
    • Example
    • References
  • Building your first model
    • Structure
    • Node View
    • Conversions
    • Interrupts
    • Experiments and Reporting
    • Saving your model
  • Another Example Model
    • Basic Structure
    • Conversions
    • Splits and Merges
    • Full Structure
    • Node View
      • Units and Conversions
      • Rates and Buffers
    • Interrupts
    • Experiments
      • Single Run
      • Interrupt Loss/Gain
      • Buffer Tradeoff
    • Summary
  • Wishbone Overview
    • Video Overview
    • Loading a File
    • Excluding Cause Groups
    • Mapping Cause Groups
    • Reviewing Estimates
  • Model Building with Markdown
    • The Click-Connect System
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Wishbone Overview

Accurate parameterization of a process's specific interrupts is key for creating an accurate model for simulation. Wishbone is designed to convert a tape consisting of the raw events of a process into useful distributions for Time to Failure (TTF) and Time to Repair (TTR). Traditional methods of parameterizing interrupts require dedicated time and attention from an expert in the subject to manually manipulate the tape and use their acquired knowledge along with various tools and techniques to distill the tape of line event data into a set of cause groups. Each group has unique and specific distributions for TTF and TTR that must be calculated before the process can be modeled. The expert will employ other various tools to extract these distributions and format them in a way that is consumable by their modeling tool of choice. While extremely valuable, the traditional process is time-consuming, expensive, and requires an expert.

With ChiAha's Wishbone, the power to start with a raw tape and produce parameterized interrupts quickly, accurately, and easily has been placed in any user's hands.

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Last updated 2 months ago

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