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Discrete-Event System Simulation Project

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					Discrete-Event System
 Simulation Project
 Simulation of Complex
 Manufacturing System
      Cheryl Yale
      Problem Formulation
• Data will be obtained on a limited basis from the
  experimental manufacturing of the first three
  adapters.
• The objective is to model the known process and
  verify the simulation with experimental data.
• Given the verified known process, individual
  changes can be made and the results tallied.
  This will show the options available to ease the
  manufacturing process.
  Model Conceptualization
• Assumptions:
      – .The model will be representative of the actual
        manufacturing facility.
      – Each change in machine will be modeled as one process in
        ProModel.
      – .The machines are dedicated to the adapter line (No
        downtime has been considered).
      – .If an operation takes place outside this manufacturing
        floor it will not be in the model (Vendor operations are not
        modeled).
Data Collection
       Model Translation
• ProModel V 4.20
• Adapter divided into four entities
• All distributions normally distributed
• 3 Adapters Every 500 Hours
              Verification
• Basic Analysis
  – Adapter Manufacturing time is 20.03 with a
    standard deviation of .05
               Validation
• Changed
  – Numbers of Replications
  – Warm-up Periods
  – Run Length
• Final Simulation
  – 15 replications
  – 500 Hours of Warm-up
  – Run Length of 100,000 Hours
     Production Runs and
          Analysis
• The production run uses two matsuura
  machines.
• The addition of the queue on the deburr
  booth.
• Time in the system is 22.05 hours with
  a standard deviation of .057 hours.
            Conclusions
• The adapter-manufacturing model has
  been built, and validated.
• It is now ready as a baseline to begin
  modeling different processes.

				
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posted:7/24/2013
language:English
pages:9