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Littlefield Game. Prof. Mellie Pullman Online Registration & Game Overview. 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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littlefield game

Littlefield Game

Prof. Mellie Pullman

Online Registration & Game Overview

why are we doing this
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
Getting on to the game, come prepared with a credit card, your team name and password (details on their format in next slides)


Follow step–by–step instructions

to purchase your access code

registering your team
Registering Your Team

Enter team password

* All lower case letters or numbers

* No punctuation or spaces




Enter student’s names

* Caps and spaces are OK

* Please NO apostrophes!

Hannah Lisker

Charlie Wong

Shane O’Brien


Enter student access codes

Hannah Lisker

Charlie Wong

Shane OBrien





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.

your game four steps at three stations
Your Game:Four steps at three stations
  • Sample Preparing
    • Step 1 boardstuffing
  • Testing
    • Steps 2 & 4 products are tested and information is recorded
  • Tuning
    • Step 3
capacity costs
Capacity Costs
  • Station #1


    • $90,000 each
  • Station #2


    • $80,000 each
  • Station #3


    • $100,000 each
  • Resale value for any machine
    • $10,000 each
factory process
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

orders and kits
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:
    • Inventory on-hand is lower than the reorder point
    • There are no shipments of materials in transit
    • Cash on hand is sufficient for the order quantity
reorder point
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.
logging into your game after the simulator has been initialized during the break
Logging Into Your Game after the simulator has been initializedduring the break

logging into your game
Logging Into Your Game

Enter team name


logging into your game21
Logging Into Your Game

Enter team’s password



click plot job arrivals and download data
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
opening the data in excel
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
forecasting demand arrival rate of jobs
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.
click on station 1 to see utilization
Click on Station 1 to see Utilization

Might want to see

what happened

key hints
Key Hints

Expected Utilization =

  • Forecasts estimate future outcomes
  • They are not known for precision
  • A prediction interval should be considered

Arrival Rate * Process Time

# of Machines

key hints32
Key Hints

Balance your work stations, reduce bottleneck

Proactive are better than reactive strategies


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.