THE APPLICATION OF CRITIC-TOPSIS METHOD IN SOLVING THE MATERIAL HANDLING EQUIPMENT SELECTION PROBLEM


Nurul Anis Yazid1, Nurul Izza Sabtu2, Nur Umairah Syahirah Azmiral3, and Nor
Faradilah Mahad4*


1Principal Islamic Asset Management, 10th floor Bangunan CIMB, Jalan Semantan,
Damansara Heights, 50490, Kuala Lumpur, Malaysia
2,4*Computer & Mathematical Sciences Studies, College of Computing, Informatics and
Media, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus
Seremban, 70300, Seremban, Negeri Sembilan, Malaysia
3Tanjung Bruas Port Sdn.Bhd., Pelabuhan Tanjung Bruas, Jalan Tanjung Bruas, 76400,
Tanjung Kling, Melaka, Malaysia

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ABSTRACT


Material handling equipment (MHE) is mechanical equipment required to transport materials or products between places. Selecting the best MHE is a crucial aspect of every industry due to a large amount of capital involved in the process. The idea behind Multi-Criteria Decision Making (MCDM) is it can address and deal with conflicting parts in the MHE selection process. The Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods are proposed in this study to solve the MHE selection problem. This study aims to solve the MHE selection problem using the CRITIC-TOPSIS method. The CRITIC method is used to compute the criteria weights, while the TOPSIS method is applied to determine the ranking of MHE alternatives. Based on the findings, the ranking order for criteria is C = R> PR > AP > OSR > LCC > ETO = AV = AC > FIM > DIS. Meanwhile, the ranking order for the alternatives is Electric Pallet Truck > Hydraulic Pallet Truck > Hand Pallet Truck > Semi Electric Pallet Truck > Hydraulic Hand Pallet Truck. Of the five options of MHE, Electric Pallet Truck is the best option when using the CRITIC-TOPSIS method. In conclusion, the hybridization of the CRITIC-TOPSIS method is successfully used to solve the MHE selection problem.


Keywords: CRITIC, MCDM, MHE Selection Problem, TOPSIS

 

Published On: 10 April 2023

 

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