Open AccessLINEAR PROGRAMMING MODELS FOR ESTIMATING WEIGHTS IN ANALYTIC HIERARCHY PROCESS AND FOR OPTIMIZATION OF HUMAN RESOURCE ALLOCATION
Author(s) -
Gokulananda Patel,
G.D. Mjema,
Kasio M Godwin
Publication year - 2016
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v8i2.335
Subject(s) - analytic hierarchy process , pairwise comparison , linear programming , computer science , mathematical optimization , hierarchy , rank (graph theory) , product (mathematics) , process (computing) , resource (disambiguation) , function (biology) , operations research , mathematics , artificial intelligence , computer network , geometry , combinatorics , evolutionary biology , economics , market economy , biology , operating system
The Analytic Hierarchy Process (AHP) provides a way to rank the alternatives by deriving priorities. In this paper we used Linear Programming (LP) models to estimate the weights of a pairwise comparison matrix derived within the frame work of the Analytic Hierarchy Process. The priorities obtained for the alternatives served as the coefficients of the objective function of linear programming to optimize a human resource problem at Bakhresa Food Product Limited (BFPL).