网络分析法
排名(信息检索)
独创性
结构方程建模
过程管理
过程(计算)
情感(语言学)
知识管理
工程类
业务
计算机科学
运筹学
心理学
定性研究
层次分析法
社会学
人工智能
机器学习
操作系统
沟通
社会科学
作者
Dain Thomas,Dinesh Khanduja
出处
期刊:International Journal of Lean Six Sigma
[Emerald (MCB UP)]
日期:2021-10-04
卷期号:13 (2): 502-520
被引量:14
标识
DOI:10.1108/ijlss-09-2020-0140
摘要
Purpose The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector. Design/methodology/approach A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia. Findings Based on the ISM model “Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation” are at the highest level. Similar results were found while ranking the barriers through ISM–ANP integration. Originality/value This study identified and prioritized the barriers that affect GLSS implementation using ISM–ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.
科研通智能强力驱动
Strongly Powered by AbleSci AI