• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Lee L. Lowery, Jr., PhD, P.E.
  • Research
  • People
  • Contact

Lee L. Lowery, Jr.

Just another CoE WordPress site

Texas A&M University College of Engineering

Haul Dirt Simulation I

Posted on July 28, 2021 by Abigail Stason

Problem 6.3) Write a BOSS program to simulate the hauling of dirt from the hill to the pit, and run it on BOSS. You have 2 trucks, each of which takes a mean of 15 minutes to load, normally distributed, with a sigma of 1 minute. It takes 30 minutes to travel from the hill to the pit (normal distribution), with a sigma of 1 minute. It takes the trucks 3 minutes, distributed exponentially, to unload at the pit, and 22 minutes (normal distribution) to return to the hill, with a sigma of 0.5 minutes. There is one front end loader available at the hill, and one unloading position available at the pit. Assume an 8 hour day.

Trucks cost $200/day, including all costs including the driver, workman’s comp, insurance, fuel, etc. You invoice the loads actually carried to the pit at $50 per load. Run this problem on BOSS. It is run just like you ran your LP problems using MOR, except the system used is “F10, System, Simulation” instead of “F10, System, Linear.”

Using BOSS simulation, how would you change the above code to run 5, and then 7 trucks on the job. You do not need to run this change in trucks. Just make the necessary changes in your original 3-truck code and print them out.

No hand solution is required, or even reasonable, on this problem.

New Syntax: ARRIVE, WAIT, RESOURCE, LABELS, STOPTIME, IF, USED, THEN, ELSE, GOTO, SEIZE, RELEASE, DEPART, END.

Filed Under: Uncategorized

Pages

  • Contact
  • Lee L. Lowery, Jr., PhD, P.E.
  • Office Hours

© 2016–2023 Lee L. Lowery, Jr. Log in

Texas A&M Engineering Experiment Station Logo
  • College of Engineering
  • Facebook
  • Twitter
  • State of Texas
  • Open Records
  • Risk, Fraud & Misconduct Hotline
  • Statewide Search
  • Site Links & Policies
  • Accommodations
  • Environmental Health, Safety & Security
  • Employment