 Analysing the barriers in Indian stone crushing industries: an ISM and fuzzy AHP approachKunal K. Ganguly and Debabrata Das International Journal of Applied Management Science, 2020, vol. 12, issue 3, 242-264 Abstract: In an emerging economy like India, stone crushing industry for construction aggregates play a vital role for employment and economy. These industries are usually small scale and labour intensive in nature. Stone mining and crushing have a considerable impact on the biological resources as well as socio economic setting of local population. In this context, therefore, identifying and ranking the barriers that affect stone crushing operations becomes important. The present research attempts to explore various factors affecting stone crushing operations and their interactions. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified barriers and fuzzy analytic hierarchy process (F-AHP) applied to rank the barriers. This study can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective operations of stone crushing units. Keywords: mining; stone crushing operations; interpretive structural modelling; ISM; fuzzy analytic hierarchy process; FAHP; barriers; environmental impact. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:injams:v:12:y:2020:i:3:p:242-264 Access Statistics for this article More articles in International Journal of Applied Management Science from Inderscience Enterprises Ltd |
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