Productivity optimization is achieved through creation of Value Stream Map encompassing all the times and material flow patterns with the result then imported into a Discrete Event Simulation Model which is then used to gauge system efficiency, bottlenecks, as well as giving the ability to run various experiments in order to optimize production througput.




Value Stream Mapping


  • Material Flow/Logistics
  • Supply Chain Response Times
  • Takt Time
  • Shifts and Break Times
  • Equipment Availability
  • Batching and Kitting
  • Storage Areas and Buffers
  • Work In Process
  • Shipping and Receiving
  • Material Handling
  • Defects and Throughput
  • Returns and Rework



Discrete Event Simulation


  • Value Stream Maps
  • Kan-Ban/Pull Systems
  • Stochastic/Markov Processes
  • Cycle Times
  • Human Interface/Availability
  • Transportation and Material Delivery
  • Lockout Zones
  • Entry and Exit Stratgies
  • Custom Logic
  • Statistical Modeling
  • Design of Experiment






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