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CreateASoft, Inc.
The Process Improvement Company
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Realtime forecasting
through simulation
Hosni Adra
Product Manager/Partner
www.createasoft.com
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Simulation Contest
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“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.
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Forecasting vs. Scheduling
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- 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.
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Requirement for proper forecasting
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- 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, …
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Data capture requirement
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- 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.
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Material and resource capture
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- 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
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Material and Resource Capture
Static RFID
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- 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
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Material and Resource CaptureActive RFID
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- 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)
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Constraints
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- 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
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What to expect
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- 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
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Implementation
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- 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
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Making sense of the data
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- 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.
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Problems encountered
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- 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.
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Extended Locator
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- 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
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Model Variability
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- 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
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Applicability
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- 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.
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Download this presentation |
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