Abstract

Considering that the teaching and learning process of Engineering Economics (EE) has limitations regarding the tools used, this article aims at presenting a web system to assist in this process, with emphasis on the economic viability analysis of Investment Projects (IPs). This system, called $AV€

Highlights

  • The decision of investing should be categorized as complex in nature, because it includes several factors, including those of a personal decision-making nature (Souza et Clemente, 2009)

  • The main objective of this paper is to describe the methodology used and the results obtained from the modeling and the development of the computational tool called System for Analysis of Economic Viability of Investment Projects ($ΛV€π) and its application as a support to the teaching and learning process of Engineering Economics (EE)

  • Theoretical background: Dixit et Pindyck (1994), Kodukula et Papudesu (2006), Souza et Clemente (2009), Correia Neto (2009), Gonçalves et al (2009), Mun (2010), Casarotto Filho et Kopittke (2010), Rasoto et al (2012), Lima et al (2013), Lima et al (2015); Lima et al (2016), Ferro et al (2016), and Lima et al (2017) were used as the basis for the definition of indicators to be incorporated into the system

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Summary

Introduction

The decision of investing should be categorized as complex in nature, because it includes several factors, including those of a personal decision-making nature (Souza et Clemente, 2009). There are several methods and techniques to support the decision to invest (Gonçalves et al, 2009; Bruni, 2013; Götze et al, 2015), which seek to analyze the economic viability of an Investment Project (IP) In this context, a common practice is to analyze the alternatives for investments of an organization through estimates of cash flows, discounted to the present moment (Zdanowicz, 2000). A common practice is to analyze the alternatives for investments of an organization through estimates of cash flows, discounted to the present moment (Zdanowicz, 2000) In general, such practice is weak because it uses few return and risk indicators, which can compromise the analysis quality. In the process of alternative investment selection, MIEM allows the use of consistent concepts, methods and techniques, enabling the analysis of various factors that guide investment decisions, which, according to Souza et Clemente (2009), is fundamental

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