3-w ay p robability & c ounting group 3 vanessa condie richard quach valeria ramirez january 25,...

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3-WAY PROBABILITY & COUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic University, Pomona

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Page 1: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

3-WAY PROBABILITY & COUNTING

Group 3

Vanessa Condie

Richard Quach

Valeria Ramirez

January 25, 2011

IE 429Professor Sima Parisay

California State Polytechnic University, Pomona

Page 2: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

3-WAY PROBABILITY CONCEPT

This feature is widely used in situations in which we want to know the amount or number of parts, components, units, etc that would be distributed to three different locations.

The importance of the probability lies in the fact that it tells the program what percentage of each item should be allocated to designated location.

Page 3: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

Steps Used to Create a Probability-3 Way in Arena:

Page 4: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBLEM STATEMENT

* A beverage company produces three different types of beverages: juice, energy drinks, and soda. There are three locations that the beverage company distributes to: grocery stores, restaurants and gas stations. However, the demand at grocery stores is 45% and 30% at gas stations. The beverages arrive to the packing station with an exponential distribution with an average of 5 hrs for the juice, 8 hrs for the energy drinks, and 10 hrs for the sodas. The beverages leave the packing station with a mean of 2 hrs. The beverages then go through inspection and are then distributed to their specific locations. The company would like to know how many of each beverage will be distributed to their respective locations. Run the simulation for 10,000 hours.

Page 5: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

JuiceFruitFarmExp(5 hrs)

PackStationPackingExp(2 hrs)

EnergyDrinkChemicalPlantExp(8 hrs)

Grocery Stores

Gas Stations

Restaurants

SodaCaffeineFarmExp(10 hrs)

Simulation length 10,000 hours

45%

30%

25%

Logical Model:

Page 6: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

Probability, 3-Way Branch and Counting

Page 7: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

Page 8: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

Page 9: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

Page 10: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

PROBABILITY, 3-WAY BRANCH AND COUNTING

Page 11: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

Probability, 3-Way Branch and Counting

Output

Page 12: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

ANALYSIS OF OUTPUT:

Probability, 3-Way Branch and Counting

Page 13: 3-W AY P ROBABILITY & C OUNTING Group 3 Vanessa Condie Richard Quach Valeria Ramirez January 25, 2011 IE 429 Professor Sima Parisay California State Polytechnic

VERIFICATION

Item Arrival Time

Simulation Time

Simulation/Arrival

Arena Output of Items

Juice 5 hrs 10,000 hrs 2,000 2,003

Energy Drink

8 hrs 10,000 hrs 1,250 1,255

Soda 10 hrs 10,000 hrs 1,000 981

Probability, 3-Way Branch and Counting