An Integrated SWARA, QFD, and ISM Approach for Agricultural Injuries in India

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Debesh Mishra, S. Satapathy
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引用次数: 5

Abstract

A survey was carried out to study and collect data about the agricultural farmer injuries of Odisha in India. Five villages with major population with farming as occupation were selected. A total of 145 farmers were selected for the study. It was found that, the number of accidents by hand tools such as spades, plain edge sickles, serrated sickles, and shovels were 13 (16.45%), 6 (7.59%), 11 (13.92%), and 7 (8.86%), respectively. Also, it was observed that maximum number of male and female farmers who were victims of agricultural injury were in the age group of 31 to 45. A smaller number of injured farmers were found in the age group of 18 to 30. Factor analysis followed by the SWARA method was used to rank the important variables which were found as the causes for agricultural accidents or injuries by the responses obtained through questionnaires. Finally, QFD & Interpretive Structural Modeling (ISM) and MICMAC analysis was performed, to frame design requirements in the form of safety requirements.
印度农业伤害的综合SWARA、QFD和ISM方法
进行了一项调查,以研究和收集有关印度奥里萨邦农民受伤的数据。选择了5个以农业为职业的人口较多的村庄。共有145名农民被选为研究对象。结果发现,使用铲子、平刃镰刀、锯齿镰刀和铲子等手工工具造成的意外事故分别为13例(16.45%)、6例(7.59%)、11例(13.92%)和7例(8.86%)。此外,还指出,遭受农业伤害的男女农民最多的是31至45岁年龄组。年龄在18岁至30岁之间的受伤农民人数较少。采用因子分析和SWARA方法,根据问卷调查结果对农业事故或伤害原因的重要变量进行排序。最后,进行QFD和解释结构建模(ISM)以及MICMAC分析,以安全需求的形式构建设计需求。
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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