Open AccessA A RESOURCE ALLOCATION PROBLEM IN HIGHER EDUCATION WITH INTEGRATED MULTICRITERIA DECISION MAKING
Author(s) -
Dame Ifa Sihombing,
Lamtiur Sinambela,
Labuan Nababan
Publication year - 2020
Publication title -
sepren : journal of mathematics education and applied
Language(s) - English
Resource type - Journals
ISSN - 2686-4452
DOI - 10.36655/sepren.v1i02.219
Subject(s) - analytic hierarchy process , ranking (information retrieval) , resource allocation , goal programming , computer science , management science , operations research , set (abstract data type) , process (computing) , resource (disambiguation) , hierarchy , decision problem , artificial intelligence , engineering , economics , computer network , market economy , programming language , operating system
This paper analyzes forms of resource allocation problems in higher education. Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally is such a way that performance of universities can be improved. It combines two of the most extended multicriteria decision making techniques: the Analytic Hierarchy Process (AHP) and Goal Programming (GP). The AHP approach is used in evaluation all criteria such as qualitative and quantitative factors. Then the Goal Programming (GP) model incorporating the constraints to select the best set of all goals without exceeding the limited avalaible resources. In this paper two commercial packages are used : Expert Choice for determining the AHP priority ranking of the projects, and LINGO 17 for solving the GP model.