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Lab Module 03 Serial Manufacturing Line – Part II

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1 Lab Module 03 Serial Manufacturing Line – Part II
Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

2 Objectives and Outline
Lab Objectives Continue learning basic Simio modeling Learn the event mode for the Source object Learn about buffer capacities for the Server Object Learn about reference properties Learn the basics of dynamic pie charts and status plots Lab Outline Video 1 – Describe the system and develop the initial Simio model. Video 2 – Add buffer capacities, introduce and use reference properties. Video 3 – Described Resource States and added pie charts and status plots. Video 4 – Assignments. Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

3 Video 1 – System Description and Initial Model
Capacity Analysis Parts are continuously available (infinite supply) and there is infinite demand (i.e., we can sell all that we can make) Processing times at each station are exponential with mean of 1 minute. The buffers between stations are finite and we’re interested in determining the impact of buffer size on system capacity. Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

4 Video 2 – Capacitated Buffers and Reference Properties
M1 M2 M3 M4 Capacity Analysis Parts are continuously available (infinite supply) and there is infinite demand (i.e., we can sell all that we can make) Processing times at each station are exponential with mean of 1 minute. The buffers between stations are finite and we’re interested in determining the impact of buffer size on system capacity. Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

5 Reference Properties Using a reference to a model property to specify the value for an object property. Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

6 Video 3 – ResourceStates, Pie Charts, Status Plots
M1 M2 M3 M4 Capacity Analysis Parts are continuously available (infinite supply) and there is infinite demand (i.e., we can sell all that we can make) Processing times at each station are exponential with mean of 1 minute. The buffers between stations are finite and we’re interested in determining the impact of buffer size on system capacity. Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

7 Video 3 – ResourceStates, Pie Charts, Status Plots
Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

8 Processing Time Distribution
Video 4 - Assignments Create experiment responses for the average numbers of parts in the buffers between M1 and M2, M2 and M3, and M3 and M4. Create a status plot showing the average numbers of parts in the same buffers. For the following three configurations, assume that you have 20 total buffer slots to distribute between the three buffers (i.e., (7, 3, 10) has a capacity 7 buffer between M1 and M2, a capacity 3 buffer between M2 and M3, and a capacity 10 buffer between M3 and M4). Find the buffer allocation that maximizes throughput of the line. Processing Time Distribution M1 M2 M3 M4 A Exponential(1) Exponential(1.1) Exponential(1.2) B Triangular(.5, 1, 1.5) C Uniform(1, 2) Uniform(.5, 2.5) Exponential(1.5) Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved

9 Video 4 - Assignments Supposed that there is a 5% probably of fallout at each machine. In other words, 5% of parts processed at each machine are bad and exit the system without proceeding to the “next” machine in the system. Modify your model to reflect this change. Determine whether the optimal buffer configurations from question 3 change as a result of the part fallout. Note that you should justify your choice of Replication length; Warmup period length; and Number of replications for questions 3 and 5 Copyright © Jeffrey S. Smith and Simio LLC | All Rights Reserved


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