首页> 外文期刊>Journal of Cleaner Production >Interpretive structural modelling based analysis of sustainable manufacturing enablers
【24h】

Interpretive structural modelling based analysis of sustainable manufacturing enablers

机译:基于解释性结构建模的可持续制造要素分析

获取原文
获取原文并翻译 | 示例
       

摘要

The manufacturing sector has contributed significantly in building the nation's economy for developing countries like India but it has also created many environmental and societal issues. To deal with these issues, the present study has identified the enablers and modelled their interrelationships in case organization of Indian. The present study has identified 29 enablers of sustainable manufacturing through literature review and opinions of experts. Interpretive Structural Modeling has been utilized to develop a hierarchy structural model which can represent the interrelationships among the enablers. The fuzzy concept has been integrated with Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) technique to calculate the driving/dependence power of the enablers. The present study highlights "Limitation of traditional processes" and "Public pressure" as the most significant enablers for sustainable manufacturing adoption. The present study discusses a case application of identifying the interrelationships and influence of sustainable manufacturing enablers. The present study provides pivotal references for researchers, practitioners, and policy-makers by exploring the interrelationships and driving/dependence power of the enablers. The findings may encourage the researchers and practitioners to initiate the same studies in other manufacturing organizations by extending the set of enablers and classifying into some more realistic groups. (C) 2019 Elsevier Ltd. All rights reserved.
机译:制造业为印度等发展中国家的国家经济建设做出了重要贡献,但也造成了许多环境和社会问题。为了解决这些问题,本研究已经确定了促成因素,并在印度案例组织中对它们之间的相互关系进行了建模。本研究通过文献综述和专家意见确定了29个可持续制造的推动力。解释性结构建模已被用于开发可以表示促成因素之间相互关系的层次结构模型。模糊概念已与“交叉分类矩阵影响应用于分类”(MICMAC)技术集成在一起,以计算促成因素的驱动/依赖性能力。本研究强调“限制传统工艺”和“公共压力”是可持续采用制造业的最重要因素。本研究讨论了确定可持续制造促成因素的相互关系和影响的案例应用。本研究通过探索促成因素之间的相互关系和驱动/依赖性,为研究人员,从业人员和政策制定者提供了重要参考。这些发现可能会鼓励研究人员和从业人员通过扩大促成因素的范围并将其分类为一些更现实的组来在其他制造组织中开展相同的研究。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号