Prioritizing the Drivers of Green Supply Chain Management in Indian Manufacturing Industries Using Fuzzy TOPSIS Method: Government, Industry, Environment, and Public Perspectives

被引:30
|
作者
Dhull S. [1 ]
Narwal M.S. [1 ]
机构
[1] Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal Sonepat, Haryana
关键词
Decision-makers; Fuzzy TOPSIS; Green supply chain management (GSCM); Sensitivity analysis; Sustainability;
D O I
10.1007/s41660-017-0030-1
中图分类号
学科分类号
摘要
Environmental sustainability has become a major concern in the present era. The pressure of sustainable development is not only exerted by the government but also by the customer. Awareness among the society and strict government regulations force the industries to reduce environmental impact from their supply chain. Hence, green supply chain management (GSCM) has become an imperative industrial philosophy to avoid environmental hazards. There are motivational forces which are responsible for the implementation of GSCM practices. These motivational forces are termed as drivers. The objective of this paper is to prioritize the drivers of GSCM in Indian manufacturing industries based on government, industry, environment, and public perspectives using fuzzy TOPSIS methodology. An empirical study is made by collecting the data from a group of 12 decision-makers (DMs), three from each perspective. Sensitivity analysis is performed to check the effect of preferences given by each DM. The results show that the regulations forced by the central government play the most significant role followed by regional/state government legislation. The results obtained help firms in identifying the important drivers to implement GSCM practices in Indian manufacturing industries based on different perspectives. It will also help the policymakers to identify important drivers of GSCM in Indian manufacturing industries and will support in implementing GSCM practices. © 2017, Springer Nature Singapore Pte Ltd.
引用
收藏
页码:47 / 60
页数:13
相关论文
共 29 条
  • [21] Identifying Critical Success Factors for Green Supply Chain Management Implementation Using Fuzzy DEMATEL Method
    Malviya, Rakesh Kumar
    Kant, Ravi
    2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2014, : 214 - 218
  • [22] Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory
    Xinyang Deng
    Wen Jiang
    International Journal of Fuzzy Systems, 2019, 21 : 1389 - 1402
  • [23] Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory
    Deng, Xinyang
    Jiang, Wen
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2019, 21 (05) : 1389 - 1402
  • [24] Quantitative Analysis of Key Performance Indicators of Green Supply Chain in FMCG Industries Using Non-Linear Fuzzy Method
    Nozari, Hamed
    Najafi, Esmaeil
    Fallah, Mohammad
    Lotfi, Farhad Hosseinzadeh
    MATHEMATICS, 2019, 7 (11)
  • [25] Prioritizing the mitigation strategies to lean and green barriers using fuzzy BWM-FTOPSIS method in the food supply chain: an empirical case study
    Srinivasan, Kumar
    Yadav, Vineet Kumar
    Kumar, Anish
    Margabandu, Balaganesh
    Selvaraj, Janish
    Kumar, Anshu
    INTERNATIONAL JOURNAL OF LEAN SIX SIGMA, 2023, 14 (05) : 901 - 946
  • [26] Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique- An Indian perspective
    Luthra, Sunil
    Kumar, Vinod
    Kumar, Sanjay
    Haleem, Abid
    JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM, 2011, 4 (02): : 231 - 257
  • [27] Industry 4.0 Adoption Drivers for Sustainable Supply Chain in the Manufacturing Sector Using a Hybrid Decision-Making Approach Under q-Rung Orthopair Fuzzy Information
    Mardani, Abbas
    Saberi, Sara
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 12164 - 12181
  • [28] Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach
    Cui Haiyun
    Huang Zhixiong
    Yuksel, Serhat
    Dincer, Hasan
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 143 (143):
  • [29] Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method
    Yang, Kaijun
    Duan, Tingting
    Feng, Jiaojiao
    Mishra, Arunodaya Raj
    JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2022, 35 (4/5) : 1011 - 1039