Transcript Lab-Module-08
Learning Simio Lab Series Lab Module 8
Simio Tables and External Data
Copyright © 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reserved 1
Objectives and Outline
• Lab Objectives – Continue learning basic Simio modeling – Learn how to use related tables and how to bind tables to external data sources – Learn how to use Rate Tables for implementing non-stationary arrival processes – Learn the basics of Resource Schedules and Arrival Tables • Lab Outline – Video 1 – Related Tables and Binding to External Data Sources – Video 2 – Rate Tables – Video 3 – Schedules and Arrival Tables – Video 4 – Assignments
Copyright © 2013 - Jeffrey S. Smith and Simio LLC | All Rights Reserved 2
Video 1 – Related Tables and Binding to External Data Sources
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Arriving Customers
Video 2 – Rate Tables
• Lunchtime Hotdog Stand – Open 9:00 a.m. – 3:00 p.m. daily – Historical records show that approximately 210 customers/day visit the stand – The time to fill a customer’s order is approximately 1.5 minutes, but is highly variable
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Arriving Customers
Video 3 – Schedules and Arrival Tables
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Video 4 – Assignments
• Assignment 1: – Extend the Hotdog Stand model so that the stand is open from 9:00 a.m. until 9:00 p.m. each day and includes a “dinner rush” in addition to the lunch rush.
– You will need to first extend the arrival process by adding the additional hours and corresponding arrival rates. Use your knowledge of fast-food restaurants and judgment to do this.
– Implement the corresponding arrival process and update the resource schedule to support the new arrival process – Develop an experiment with responses for server utilization, average and maximum times that customers spend in the system, and average and maximum numbers of customers in the system.
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Video 4 – Assignments
• Assignment 2: – Update the manufacturing system model developed in Video 01 to support orders (for parts) arriving according to a given schedule. – The data is given in the Assignment 2 Data Excel Workbook.
– Assume that order arrivals can deviate from their scheduled time by plus or minus 10 minutes (uniformly distributed).
– Create an experiment with responses for the average time parts (all types) spend in the system and the number of parts completed.
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