Lab Module 05

Embed Size (px)

Citation preview

Lab Module 02 Serial Manufacturing Line

Lab Module 05

Entity Routing

Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reserved1Learning Simio Lab Series1Objectives and OutlineLab ObjectivesContinue learning basic Simio modelingLearn two different methods to route entities in SimioLink Selection WeightsDynamic routing using node lists

Lab OutlineVideo 1 Using Selection Weights for probabilistic routingVideo 2 Using Selection Weights for conditional routingVideo 3 Using Node Lists for dynamic routingVideo 4 Assignments

Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reserved2Video 1 Using Selection Weights for Routing TV final adjustment and inspection processTVs arrive at the rate of 20/hour (exponential interarrival times)Adjustment takes approximately 2 minutes (uniformly distributed between 1.75 and 2.25)Inspection takes approximately 1.75 minutes (exponentially distributed)20% of inspected TVs are found to need re-adjustmentInterested in Time In System, Number In System, Utilizations of Adjust and Inspect3Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights ReservedAdjustArriveInspectDepart

80% Pass20% FailRe-entrant Flow and Effective Arrival Rate4Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reservedlp1-pSelection Weights5Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reservedw1w2wnLink selection probability for link i :Video 2 Conditional Routing Using Selection WeightsTV final adjustment and inspection processTVs arrive at the rate of 20/hour (exponential interarrival times)Adjustment takes approximately 2 minutes (uniformly distributed between 1.75 and 2.25)Inspection takes approximately 1.75 minutes (exponentially distributed)20% of inspected TVs are found to need re-adjustmentInterested in Time In System, Number In System, Utilizations of Adjust and Inspect6Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights ReservedAdjustArriveInspectDepart

80% Pass20% FailMaximum of 3 adjustments for a given TVVideo 3 Dynamic Routing Using Node Lists 7Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights ReservedServer1ArriveDepartServer2Server3Approx. 10 minutesApprox. 5 minutesApprox. 1 minuteArrival rate: 60/hourVideo 4 - Assignment8Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights ReservedUsing the TV Adjust/Inspect model:Fix the issue where the TVs are adjusted the 4th (and inspected) time even though we know that they will be rejected after inspection. Hint: Start by inserting a Basic Node in the path from the Inspect server back to the Adjust server.Create a reference property for the maximum number of adjustments allowed and develop an experiment that compares the configurations with values 1, 2, 3, 4, 5, 100.Video 4 - Assignment9Copyright 2013 - Jeffrey S. Smith and Simio LLC | All Rights ReservedUsing the dynamic routing model (from the third video):Develop an experiment with 25 replications using a run length of 500 hours with a 250 hour warm-up and responses for the three server utilizations, the entity time in system (TIS) and entity number in system (NIS)Using the base model, compare the 5 performance metrics using the following routing alternatives:Probabilistic routing using the selection weights 6/78, 12/78, and 60/78Preferred order with capacity 5 buffers at each serverUsing AssociatedStationOverload with no buffers (capacity 0 buffers)Using AssociatedStationOverload with capacity 5 buffersUsing the shortest queue length with infinite capacity buffers