Application of multi-attribute decision-making methods in SWOT analysis of mine waste management (case study: Sirjan's Golgohar iron mine, Iran)
Sudabe Shahba,
Reza Arjmandi,
Masoud Monavari and
Jamal Ghodusi
Resources Policy, 2017, vol. 51, issue C, 67-76
Abstract:
Mines provide essential materials for life and human progress; however, on the other hand, the possibility of life and having healthy environment is adversely affected by increasing pollution. Mine waste (tailing) is one of the pollutants generated by mines that should be properly managed. Nowadays, strategic management by using appropriate tools and technology is essential for the proper management of waste everywhere, including the urban, rural, medical, industrial, and mining environments. This study aims to identify strengths, weaknesses, opportunities, and threats (SWOT), and strategies for waste management in iron mines and provide a quantitative basis to analytically determine the ranking of the factors in SWOT analysis via conventional multi-criteria decision-making methods: Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Keywords: Waste; Tailing; Strategic management; Iron mine; Evaluation matrix; Sirjan (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420716303622
Full text for ScienceDirect subscribers only
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:eee:jrpoli:v:51:y:2017:i:c:p:67-76
DOI: 10.1016/j.resourpol.2016.11.002
Access Statistics for this article
Resources Policy is currently edited by R. G. Eggert
More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().