EconPapers    
Economics at your fingertips  
 

Analytical hierarchy process to choose the best earthwork machine in northern forests of Iran

A. Parsakhoo and S.A. Hosseini
Additional contact information
A. Parsakhoo: Department of Forestry, Faculty of Forest Sciences, Gorgan Agricultural Sciences and Natural Resources University, Gorgan, Iran
S.A. Hosseini: Department of Forestry, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

Journal of Forest Science, 2013, vol. 59, issue 12, 487-492

Abstract: This study attempts to use the analytical hierarchy process to choose the most appropriate earthwork machine for slope classes of 30-50% and 50-70%. Required data were collected by pairwise comparison as questionnaires filled by experts of forest engineering. Results showed that cross-sections and grade line (Technical criteria), soil excavation and displacement (Environmental criteria), production rate and multi-application (Operational criteria), production cost (Economic criteria) with the respective weights of 0.345, 0.345, 0.136, 0.058, 0.058 and 0.058 were the most important criteria for choosing the earthwork machines in the slope class of 30-50%. These coefficients for the slope class of 50-70% were 0.329, 0.329, 0.174, 0.056, 0.056 and 0.056, respectively. Overall priority of bulldozer in slope classes of 30-50% and 50-70% was 0.51 and 0.48, respectively. Therefore, in slope class of 30-50% bulldozer and in slope class of 50-70% hydraulic excavator must be selected for earthwork operation.

Keywords: best selection; earthwork machine; environmental criteria; analytical hierarchy process; northern forests (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://jfs.agriculturejournals.cz/doi/10.17221/44/2013-JFS.html (text/html)
http://jfs.agriculturejournals.cz/doi/10.17221/44/2013-JFS.pdf (application/pdf)
free of charge

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:caa:jnljfs:v:59:y:2013:i:12:id:44-2013-jfs

DOI: 10.17221/44/2013-JFS

Access Statistics for this article

Journal of Forest Science is currently edited by Mgr. Ilona Procházková

More articles in Journal of Forest Science from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().

 
Page updated 2025-03-19
Handle: RePEc:caa:jnljfs:v:59:y:2013:i:12:id:44-2013-jfs