Checking an Industrial Process Game, Spring 2014

This webpage supports an entry in a Mathematical game. Work was conducted as part of MATH 5530 Statistical Computing. Files provided as sage worksheets can be run using the Sagemath Cloud.

Type File Description
Talk Playing a Game in Statistical Computing Slides (.pdf) from a colloquium talk about the class and game.
Result Results and Comments (local copy) The results of the game (.pdf). (We won in the "group" category.)
Entry Avoid Fines by Warming-Up the Machines The submitted entry (.pdf).
Game Specifications
Checking an Industrial Process (local copy) Description of the game (.pdf).
Data spreadsheet (local copy) Data spreadsheet (.xls) provided with the game.
Destructive.data The Destructive testing tab in the data spreadsheet, reformatted for import to R.
NonDestructive.data The Non-Destructive testing tab in the data spreadsheet, reformatted for import to R.
Sage Worksheets
Ni_dependency.sagews Determines the formula for Ni given \((d,c,x,y,z)\).
Cr_dependency.sagews Determines the formula for Cr given \((d,c,x,y,z)\).
MC_totalfine.sagews Does a straightforward but slow Monte Carlo simulation.
count_analytic_fastMC.sagews Counts violations of the specifications in each cylinder and uses them to estimate the expected fine using a simplified sampling and using a faster Monte Carlo simulation.
figuremaker.sagews Produces the figures used in the submission.

Martin J. Mohlenkamp
Last modified: Thu Dec 4 09:16:26 EST 2014