MCA Based Performance Evaluation of Project Selection

TL;DR

This paper introduces a new additive ratio assessment method for project selection, combining AHP for structuring and weighting criteria with ARAS for ranking, demonstrated through a telecommunication project case study.

Contribution

It proposes a novel additive ratio assessment method integrated with AHP and ARAS for improved project selection decision-making.

Findings

The method effectively ranks projects based on multiple criteria.

Flexible weight combinations enhance decision adaptability.

Application to optical fiber expansion demonstrates practical utility.

Abstract

Multi-criteria decision support systems are used in various fields of human activities. In every alternative multi-criteria decision making problem can be represented by a set of properties or constraints. The properties can be qualitative & quantitative. For measurement of these properties, there are different unit, as well as there are different optimization techniques. Depending upon the desired goal, the normalization aims for obtaining reference scales of values of these properties. This paper deals with a new additive ratio assessment method. In order to make the appropriate decision and to make a proper comparison among the available alternatives Analytic Hierarchy Process (AHP) and ARAS have been used. The uses of AHP is for analysis the structure of the project selection problem and to assign the weights of the properties and the ARAS method is used to obtain the final ranking and select the best one among the projects. To illustrate the above mention methods survey data on the expansion of optical fibre for a telecommunication sector is used. The decision maker can also used different weight combination in the decision making process according to the demand of the system.