Simulation Program

[jmex]

Simulation

A food manufacturer is starting a new process which will take a raw piece of meat send it down a conveyor to one of two breader/batter machine and then all product will be regrouped together and sent through a single oven. Your job is to predict how much of the product in a 10000-piece batch will be below 160 degrees

• Assuming incoming product will weigh on average 250grams with a standard deviation of 25grams and is normally distributed.

• Assuming product is randomly assigned to one of two breader/batter machines (50% to each machine)
• Assume pickup tests accurately represent the weight pickup of each breader/bather process

• Assuming cooking tests accurately represent the final cook temperature at a given weight  

• Assume the ovens and breader/bather machines are on “max” setting and cannot be adjusted

• Assume the given regression lines were accurately built.

Build a DSS system that allows the initial product weight average to be changed to see the effect on the amount of undercooked ( Below 160 degree) product

The regression line to predict the product that has gone through brader/bather machine 1:

Endweight=1.247*Startweight-33.01 with a standard error of 4.415

The regression line to predict the product that has gone through breader/bather machine2:

Endweight =1,393*Startweight+5.316 with a standard error of 5.427

Regression line to predict cook temperature based on incoming product weight:

Temp=0.1216*Endweight+209.6 with a standard error of 5.658 (the negative sign is highlighted because it can be

[Ksharp]

Calling @Rick_SAS

[Rick_SAS · Accepted solution]

The OP should define which products they have access to and what tools they want to use.  SAS Simulation Studio? The DATA step? SAS/IML?  The question is currently posted to the Solution-->Microsoft Community, so the product is unclear.

This also looks like a homework or exam question. Many of us will offer hints but not post a complete solution.