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White Papers
 

 
Applying Lean to Healthcare
 
Simulation and scheduling the job shop
Analyzing complex value streams
 
Understanding the Toyota model through simulation
Achieving & maintaining lean in the job shop Using simulation to improve security
Achieving & maintaining lean and 6 sigma Using simulation to improve Value Stream Mapping

Implementing job shop lean
 
Blood center simulation
Real time forecasting through simulation Logistics simulation
 


CreateASoft, Inc.
The Process Improvement Company


 
 


 Simulation Contest
 


 

“Best of the Best”
Simulation Contest

Register at
www.simulationsoftware.com/contest

Winner will be announced at the IIE conference 2008.

All models will be posted online for live voting.
 



Forecasting vs. Scheduling
 


 
  • Scheduling is a method to organize the sequencing into the operation in order to attain predictable delivery time.
  • Forecasting is a look ahead to predict the behavior of the model through time.

     
 


Requirement for proper forecasting


 
  • Model definition
    -- Flows, routings, capacity, buffers, material movements, …
  • Model variability
    -- Scrap rates, downtime, repair schedules, production sequence, …
  • Model constraints
    -- Resources, required equipment, speed, physical constraints, …
 


Data capture requirement


 
  • Dynamic data comprises of
    -- Current state data
    -- Current production sequence
    -- Failures, maintenance schedules
  • Required additional data
    -- Resource availability
    -- Variation in speeds, buffers, and process requirements.
 


How it works


 




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Material and resource capture


 
  • Bar coding
    -- Controlled by human factors
    -- Most bar coding sequence do not correctly associate time with location
    -- Can not accurately locate resources
    -- Does not capture motion
    -- Cheap, readily available
    -- Can be found in most environments


Material and Resource Capture Static RFID


 
  • Static RFID rely on passing the RFID chip within proximity of a reader.
    -- Requires the presence of a reader at every scanning station
    -- Is not dependent on the operator
    -- Can correlate time and location within reason
    -- Cheap tags, requires multiple readers
    -- Does not capture motion data


Material and Resource CaptureActive RFID


 
  • RFID device emits a signal to a set of receivers which co-locate the position of the tag.
    -- Dynamically updates every 10 sec
    -- Can be applied to resources, products, and material handlers.
    -- Receivers can be located away from processing equipment
    -- Is not affected by human factors
    -- Can be applied to locate based on floor level (Patent Pending)
 


Constraints
 


 
  • Constraints can be acquired through
    -- ERP/MRP systems
    -- Input from the processing floor, or equipment
    -- Include failures, scrap rates, QA rates, rework
  • This set can be ignored but will affect the results of the forecasted model


     
 


What to expect


 
  • Virtual Camera
    -- Live view of the operation (based on the tracking solution)
  • Historical replay of events
  • Constant forecasting of future events
  • Accurate costing analysis
  • Improved scheduling capability
 


Implementation


 
  • Solution is being implemented and tested at a large warehousing facility
    -- Utilizing active RFID tags
    -- Using Simcad Pro as the forecasting engine
    -- Connects to an ordering system for future pulls.
    -- Tracks parts and resources
 


Making sense of the data


 
  • Tracking is only visual unless
    -- Resources, parts, and equipment are mapped based on relationships
       - Resources can be within proximity of a piece of equipment, with the presence of a part indicates that the resource is working on the part (with limitation)
       - Resource moving within proximity of a forklift for the duration of the move indicates that the resource is tagged to the truck.
 


Model layout


 
 


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Sample layout


 

 

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Problems encountered


 
  • Active RFID tags are accurate within 10 sq ft.
    -- Inaccuracy is also generated by the type of building.
    -- Signals from other devices may create interference.
    -- Solution – utilize additional receivers with smart positioning to eliminate wrong signals.
 


Extended Locator


 
  • Proprietary locator engine that feeds off the main RFID data.
    -- Locate using multiple receivers (3 or more)
    -- Locate height and planar location
    -- Connects to Simcad Pro for dynamic data feed through SQL engine
    -- Automatically creates possible relationships.
    -- Accurate to 3 Sq Ft
 


Model Variability


 
  • The simulation model contains variability due to
    -- statistical distributions
    -- Scrap, rework, and other factors
  • To Forecast accurately
    -- Monte Carlo simulation is used to make at least 100 runs of the model before a notification event is sent.
    -- Monte Carlo results are combined to create the most probable future scenario
 


Implementation Summary
 


 



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Additional benefits Dynamic Scheduling


 



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Applicability
 


 
  • Can be applied to any process flow.
  • A combination of active and static RFID tags can be used to reduce implementation cost.
  • Not limited to a specific RFID vendor.
  • Requires a dynamic simulation environment to operate properly.



 

 


CreateASoft, Inc.
The Process Improvement Company


 

Realtime forecasting through simulation

  • Example
  • Q&A

Contact Information Email: hadra@createasoft.com
Phone: (630) 428-2850 x205 www.createasoft.com

 

 
 


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Simcad Pro

Stop coding and start simulating with Simcad Pro, dynamic process simulation software. Learn how live model interaction drastically reduces model development, analysis, and optimization time.
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Demanding situations demand real time process visibility. As the need for instant information grows CreateASoft delivers with real time process monitoring and live future state forecasting based on actual conditions.
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Lean implementation requires more than a vsm and a kaizen event to take hold and yield sustainable measurable results. Learn how to successfully bridge the gap from current  to future state with CreateASoft's  dynamic value stream analysis toolset.
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