Analysing the barriers in Indian stone crushing industries: an ISM and fuzzy AHP approach

Kunal K. Ganguly, D. Das
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引用次数: 5

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.
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基于ISM和模糊AHP的印度石材加工业壁垒分析
在印度这样的新兴经济体中,建筑骨料破碎行业对就业和经济起着至关重要的作用。这些产业通常规模较小,属于劳动密集型产业。石料的开采和破碎对当地的生物资源和社会经济环境都有相当大的影响。因此,在这种情况下,识别和排序影响石料破碎作业的障碍变得重要。本研究试图探讨影响石料破碎作业的各种因素及其相互作用。本研究采用解释结构模型(ISM)提取识别障碍之间的相互关系,并采用模糊层次分析法(F-AHP)对障碍进行排序。该研究可为决策者确定破碎机组有效运行所需的行动层次提供参考。
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来源期刊
International Journal of Applied Management Science
International Journal of Applied Management Science Business, Management and Accounting-Strategy and Management
CiteScore
1.20
自引率
0.00%
发文量
21
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