Operational research in Agriculture

Upon completion of the course are expected to have knowledge of the theory and you will be familiar with techniques and mathematical models so you can take quick, informed decisions and to effectively manage a wide range of business problems. You will also be able to explore, to quantify and evaluate micro-economic models for analyzing decisions, understanding the relationship of the description of economic reality to what is needed in business The course can be divided into four main sections: (a) Mathematical Programming (a) Programming project (c) Multicriteria Analysis and (d) Decision making under uncertainty, for each section you will learn the basic theoretical concepts will work on applied problems and in some of these will be familiar with software that facilitates the resolution of related problems.

Objectives

The objectives of the course are a) to familiarize students with the basic methods of operational research and their application in agriculture-livestock and agro-industry, b) the decision-making capacity under uncertainty and risk management analysis.

Prerequisites

-

Syllabus

Introduction, basic concepts problem solving with computer Problems on Agriculture Food Network Problems GANTT Charts, PERT transfer Finding critical path Introduction, basic concepts Analytical Method for prioritizing PROMETHEE Method ELECTRE Methods key concepts, decisions Trees risk probability and Bayes's theorem and information value