Linear Programming: A Diet Problem with Methane Emission

Xunzi Xie, Shi Zhang, Yizhe Chen, Yifan Pan

2022

Abstract

Cattle diet problems are concerned with finding the optimal diet for cattle. Classical diet problems are linear programming problems. This paper considers a complication of diet problem, adding to the traditional setting the extra component of methane emission. We find that under proper assumptions this complicated model is yet another linear programming problem. We then realize our model with empirical data and obtain the optimal diet for cattle via the simplex method. Sensitivity analysis is run against selected parameters. We conclude that our model is mostly successful, yielding many practical considerations.

Paper Citation

in Harvard Style

Xie X., Zhang S., Chen Y. and Pan Y. (2022). Linear Programming: A Diet Problem with Methane Emission. In Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH, ISBN 978-989-758-596-8, pages 295-301. DOI: 10.5220/0011361000003438

in Bibtex Style

@conference{ichih22,
author={Xunzi Xie and Shi Zhang and Yizhe Chen and Yifan Pan},
title={Linear Programming: A Diet Problem with Methane Emission},
booktitle={Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,},
year={2022},
pages={295-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011361000003438},
isbn={978-989-758-596-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Health Big Data and Intelligent Healthcare - Volume 1: ICHIH,
TI - Linear Programming: A Diet Problem with Methane Emission
SN - 978-989-758-596-8
AU - Xie X.
AU - Zhang S.
AU - Chen Y.
AU - Pan Y.
PY - 2022
SP - 295
EP - 301
DO - 10.5220/0011361000003438