首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Parametric Selection of Alternatives to Improve Performance of Green Supply Chain Management System
  • 本地全文:下载
  • 作者:Mohit Tyagi ; Mohit Tyagi ; Pradeep Kumar
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2015
  • 卷号:189
  • 页码:449-457
  • DOI:10.1016/j.sbspro.2015.03.197
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractNow days, Green Supply Chain Management (GSCM) is becoming an attractive subject among the business competition of organizations. In this competitive and globalized environment, most of the all organizations are emphasizing more efforts to improve their green supply chain practices. In this research work, seven green criteria and three alternatives have been identified based on literature review and discussion with the field experts taken from Indian automobile industries located at Delhi region. These criteria namely are: saving energy, design for environment, waste minimization, reuse of hazardous waste, awareness about green concept, information sharing regarding environmental regulations and proper mode of transport and three mutually important alternatives namely as: suppliers, web based technologies and advanced manufacturing technologies. On the basis of considered criteria and alternatives, a hierarchy type performance model has been developed and analysed using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach to select the best alternative in order to improve the performance of GSCM system. The findings suggested that alternative ‘web-based technologies’ is more desirable among considered alternatives and insert a significant role in enhancing the green supply chain performance of an industry.
  • 关键词:GSCM;Performance measurement;Green criteria;Fuzzy TOPSIS
国家哲学社会科学文献中心版权所有