文章基本信息

标题：Prioritisation of drivers of sustainable additive manufacturing using best worst method
本地全文：下载
作者：Rohit Agrawal ; S Vinodh
期刊名称：International Journal of Sustainable Engineering
印刷版ISSN：1939-7038
出版年度：2021
卷号：14
期号：6
页码：1587-1603
DOI：10.1080/19397038.2021.1944396
语种：English
出版社：Taylor & Francis Group
摘要：ABSTRACTGlobalisation and competition in the market have made industry practitioners to focus towards minimising resource consumption and even government is making strict regulations towards sustainable development. In this regard, usage of latest technologies such as Additive Manufacturing (AM) will have a positive benefit towards sustainability. AM processes are becoming sustainable from viewpoint of less material consumption, lesser operational cost, minimum handling and so on. So, it is important to analyse the potential drivers of sustainable AM process for its smooth adoption. In this regard, the purpose of the article is to present a study on prioritising drivers of Sustainable Additive Manufacturing (SAM) using Best Worst Method (BWM). Forty drivers are being analysed from eight perspectives. Data have been collected from experts and BWM has been used for analysing the drivers. The drivers are analysed in respective categories and then global score for each driver has been computed to find the overall weightage and rating of each driver. Key drivers are identified as eco design, green innovation and energy conservation. The practical and managerial implications are being highlighted.
关键词：KEYWORDSAdditive manufacturingsustainable manufacturingdriversbest worst methodmulti criteria decision making