Project Management for Farm Production

  • Alejandro Fuentes-Penna Universidad Autónoma del Estado de Hidalgo
  • Jorge A. Ruiz-Vanoye UAEH
  • Ocotlán Díaz-Parra Universidad Autónoma del Estado de Hidalgo
Keywords: Farm Production Management, Project Scheduling Problem, CPLEX method, simulation

Abstract

This paper aims at being a guide to understand the Farm Production Management (FPM) implementing a new paradigm based on CPLEX method with Project Scheduling Problem (PSP) as an integration of Artificial Intelligence with Project Management. In this proposal we design a mathematical model to represent FPM and the objective function oriented to minimize the resources. In this paper we propose the simulation with random data where the parameters are classified as: crop, land, labor, and water. The declared variables are Amount Planted, Permanent Labor Hired, Temporary Labor Hired, Sales and Fraction Consumed. Restrictions: Land limitations, Labor requirements, Water Requirements and Family Consumptions.

Published
2018-01-09
How to Cite
Fuentes-Penna, A., Ruiz-Vanoye, J., & Díaz-Parra, O. (2018). Project Management for Farm Production. International Journal of Combinatorial Optimization Problems and Informatics, 8(3), 39-44. Retrieved from https://ijcopi.org/index.php/ojs/article/view/17
Section
Articles