EconPapers    
Economics at your fingertips  
 

Selecting a sustainable array of machinery by integrating analytic hierarchy process with gray relational analysis

Hamidreza Qane'ei Kenarsari (), Narges Banaeian () and Mahdi Khani ()

Operations Research and Decisions, 2024, vol. 34, issue 2, 109-119

Abstract: One of the key factors that contribute to the proper growth and development of agricultural mechanization is the selection of a sustainable combination of agricultural machinery. This study aims to evaluate and select a sustainable combination of agricultural machinery for rice cultivation in a specific region using hybrid decision-making of AHP-fuzzy GRA methods. First, the agricultural operation program and related types of agricultural machinery applied in the region were investigated. Then several sub-criteria were selected for the selection process, in three main criteria (economic, social, and environmental) using literature, chosen by Delphi scores and weighted by pairwise comparison. Finally, available machinery options for each operation were ranked using fuzzy gray relational analysis. Results showed that hybrid methods are powerful tools for solving similar problems confronted with qualitative and quantitative criteria.

Keywords: agricultural mechanization; sustainable machinery combination; fuzzy MCDM; analytic hierarchy process (AHP); gray relational analysis (GRA) (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no2_7.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wut:journl:v:34:y:2024:i:2:p:109-119:id:7

DOI: 10.37190/ord240207

Access Statistics for this article

More articles in Operations Research and Decisions from Wroclaw University of Science and Technology, Faculty of Management Contact information at EDIRC.
Bibliographic data for series maintained by Adam Kasperski ().

 
Page updated 2025-03-20
Handle: RePEc:wut:journl:v:34:y:2024:i:2:p:109-119:id:7