littlefield game prof. mellie pullman online registration & game overview
TRANSCRIPT
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Littlefield Game
Prof. Mellie PullmanOnline Registration & Game
Overview
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Why are we doing this?
• Instead of a “textbook” problems, you will apply analysis techniques in a simulated service process environment.
• More “real” and more “fun”• A team effort
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Getting on to the game, come prepared with a credit card, your
team name and password (details on their format in next slides)
http://lab.responsive.net/lt/pullman/start.html
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Click here
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Create A New Account
Click here
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Follow step–by–step instructionsto purchase your access code
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Enter course code: cash
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Registering Your Team
Enter team password * All lower case letters or numbers * No punctuation or spaces
example
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Enter student’s names * Caps and spaces are OK * Please NO apostrophes!
Hannah LiskerCharlie WongShane O’Brien
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Hannah LiskerCharlie WongShane OBrien
Enter student access codes
akjndk8lslhfg7wkhkjft96l
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AFTER THAT:Your team is officially registered
(register prior to break; at 7:30 PM the first 50 days will run and
suspend. Resumes on January 13 at 6 PMFinishes on January 20 at 6 PM.
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A Brief Overview
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Your Game:Four steps at three stations
1) Sample Preparing– Step 1 board
stuffing
2) Testing– Steps 2 & 4 products
are tested and information is recorded
3) Tuning– Step 3
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Capacity Costs
• Station #1SAMPLE PREPARING MACHINES
– $90,000 each• Station #2
TESTING MACHINES
– $80,000 each• Station #3
TUNING MACHINES
– $100,000 each• Resale value for any machine
– $10,000 each
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Factory Process
• Every step has its own process time
• Littlefield measures average daily utilization rates at each station
• Queues hold waiting jobs
lead time = process time + wait time
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Orders and Kits
• Every arriving customer order is matched with a new test kit– test kits cost $600 each– shipments have a fixed ordering cost = $1,000 – supplier’s lead time is always 4 days
• Three criteria to place an order:1) Inventory on-hand is lower than the reorder
point2) There are no shipments of materials in transit3) Cash on hand is sufficient for the order quantity
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Reorder Point
– Stocks are replenished when they reach some pre-determined “low point”.• A system commonly used by squirrels• Well, also by you, your checkbook vendor, and many
other systems.– In this game, you can not change the reorder
point or inventory order quantity.
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Logging Into Your Game after the simulator has been initialized
during the break
http://lab.responsive.net/lt/pullman/entry.html
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example
Enter team name
Logging Into Your Game
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Enter team’s password
example
Logging Into Your Game
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Explore Your factory
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Click Box: Customer Order Queue
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Click “Plot Job Arrivals” and Download Data
• Click download button
• Save to desktop
• Open with MS Excel or another spreadsheet application
• Copy > Paste data columns to a master worksheet
• Index by Day
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Opening the data in Excel
• You will have 50 days worth of data until it starts running dynamically
• The demand will increase until around day 150 and then level off
• Figure out the demand point where it levels off
daynumber of jobs arriving each day
1 2
2 2
3 1
4 0
5 3
6 0
7 0
8 3
9 3
10 1
11 3
12 3
13 2
14 2
15 6
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Forecasting Demand (arrival rate of jobs)
• Overall Linear trend• = SLOPE(known_y's,known_x's)• = INTERCEPT(known_y's,known_x's) • Forecast for the demand at the point where
you think it will level out.
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Look at Capacity Problems(station 1 Queue Box)
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 490
100
200
300
400
500
600
700
800
daily average number of kits queued for station 1
daily average number of kits queued for station 1
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Click on Station 1 to see Utilization
Might want to see what happened
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 490
0.2
0.4
0.6
0.8
1
1.2
utilization of station 1, averaged over each day
utilization of station 1, averaged over each day
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Completed Job data
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Current Job Lead Time through system & contract information
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Expected Utilization =
Key Hints
• Forecasts estimate future outcomes• They are not known for precision• A prediction interval should be considered
Arrival Rate * Process Time # of Machines
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Key Hints• Balance your work stations, reduce bottleneck• Proactive are better than reactive strategies
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Deliverable• No more than 2 written pages which cover your
teams experience• What did you do (in sequence)?• Why did you make that decision? • How did it work out?• What did you learn during the process?• Include an Appendix with a “journal” and any
relevant calculations.
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Good Luck!