The hybridization of analytic hierarchy process and graph theory matrix approach (ahp-gtma) to solve solid waste transshipment site selection problem / Wan Nurdini Mior Abd Halim, Ilyana Farhin Mohd Hanafi, Nurul Izzati Johari, and Nor Faradilah Mahad

Mior Abd Halim, Wan Nurdini and Mohd Hanafi, Ilyana Farhin and Johari, Nurul Izzati and Mahad, Nor Faradilah (2022) The hybridization of analytic hierarchy process and graph theory matrix approach (ahp-gtma) to solve solid waste transshipment site selection problem / Wan Nurdini Mior Abd Halim, Ilyana Farhin Mohd Hanafi, Nurul Izzati Johari, and Nor Faradilah Mahad. Malaysian Journal of Computing (MJoC), 7 (2): 5. pp. 1120-1138. ISSN 2600-8238

Official URL: https://mjoc.uitm.edu.my

Abstract

Proper selection of solid waste facilities is a complex issue and requires a broad assessment measure. Hence, the selection of these sites is a multiple criteria decision-making issue. This study proposed a hybridization of the Analytic Hierarchy Process and Graph Theory Matrix Approach (AHP-GTMA) method in selecting the best solid waste transshipment site. The objectives of this study are to apply the AHP-GTMA method to solve the solid waste transshipment site selection problem, and to determine the best solid waste transshipment site. Real-life empirical data about the solid waste transshipment site selection in Istanbul were used to demonstrate the application of the AHP-GTMA method. The data consisted of five alternatives of the solid waste transshipment site candidates in Istanbul labeled as A1, A2, A3, A4, and A5, and five criteria which were proximity to industrial solid waste (C1), proximity to household solid waste (C2), transportation simplicity (C3), necessity (C4) and proximity to residential area (C5). The findings revealed the ranking order of the criteria was C4 > C1 > C2 > C3 > C5 and the ranking order for the alternatives was given by A1 > A5 > A3 > A4 > A2. In conclusion, AHP-GTMA is successfully applied to solve the solid waste transshipment site selection problem.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mior Abd Halim, Wan Nurdini
UNSPECIFIED
Mohd Hanafi, Ilyana Farhin
UNSPECIFIED
Johari, Nurul Izzati
UNSPECIFIED
Mahad, Nor Faradilah
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 7
Number: 2
Page Range: pp. 1120-1138
Date: October 2022
URI: https://ir.uitm.edu.my/id/eprint/69245
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