Open AccessSustainability performance measurement for Libyan Iron and Steel Company using Rough AHP
Author(s) -
Ibrahim Badi,
AUTHOR_ID,
Ali Abdulshahed,
AUTHOR_ID
Publication year - 2021
Publication title -
journal of decision analytics and intelligent computing
Language(s) - English
Resource type - Journals
ISSN - 2787-2572
DOI - 10.31181/jdaic1001202222b
Subject(s) - analytic hierarchy process , sustainability , rough set , sustainable development , business , environmental economics , computer science , operations research , engineering , data mining , economics , ecology , law , political science , biology
The iron and steel industry plays a major role in Libyan urbanization. Iron and steel products are the main driving forces in the construction manufacturing sector in Libya. This research suggested a set of indicators to evaluate the sustainability of the iron and steel industry in Libya using a rough AHP model. Rough AHP analyses the relative importance of the criteria based on their preferences given by experts. The research results show that the most important criterion is costs followed by emission and waste. We have found that the rough AHP model can play an important role in improving indicators that quantify the advance towards sustainable development, especially when it is in a situation where complex environments (i.e., Libya) exist.