Critical success factors for reverse logistics in Indian industries: a structural model

被引:128
作者
Mangla, Sachin Kumar [1 ]
Govindan, Kannan [2 ]
Luthra, Sunil [3 ]
机构
[1] Graph Era Univ, Dept Mech Engn, Dehra Dun, Uttar Pradesh, India
[2] Univ Southern Denmark, Dept Technol & Innovat, Ctr Sustainable Engn Operat Management, Odense, Denmark
[3] Govt Polytech, Dept Mech Engn, Jhajjar, Haryana, India
关键词
Reverse logistics (RL); Critical success factors (CSFs); Sustainability; AHP; DEMATEL; Indian manufacturing industries; GREEN SUPPLY CHAIN; ANALYTIC HIERARCHY PROCESS; BALANCED SCORECARD; FRAMEWORK; IMPLEMENTATION; MANAGEMENT; DEMATEL; BARRIERS; NETWORK; SUSTAINABILITY;
D O I
10.1016/j.jclepro.2016.03.124
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Industries face significant pressures to enact eco-friendly practices in their supply chain due to the constraints of natural resources and growing ecological awareness among customers. Reverse logistics (RL) has been considered as a systematic approach for industries to improve their environmental impacts and to ensure sustainability in business. Industries are enthusiastic to adopt RL activities in their businesses, but they also face challenges such as insufficient knowledge and resources regarding RL implementation. Therefore, we seek to evaluate the critical success factors (CSFs) linked to the implementation of RL in manufacturing industries in India. In this work, a structural model is proposed by using Analytical Hierarchy Process (AHP) and Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to evaluate the CSFs in RL adoption. The AHP methodology assists in establishing the priorities of the CSFs, while the DEMATEL approach categorizes the causal relationships among them. The findings of this work shows that the Global competitiveness main factor is highly prioritized, and thus, needs to be focused greatly in order to increase the effectiveness of RL adoption in business. The relative priority of the remaining main factors through AHP analysis is given as Regulatory factors- HR and organizational factors-Economic factors- Strategic factors. The findings also indicate that Global competitiveness; Regulatory; HR and organizational main factors are classified under cause group, while Economic and Strategic main factors belong to effect group. This model will help business analysts and supply chain managers formulate both short-term and long-term, flexible decision strategies for successfully managing and implementing RL adoption in the supply chain scenarios. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:608 / 621
页数:14
相关论文
共 110 条
  • [1] Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors
    Abdulrahman, Muhammad D.
    Gunasekaran, Angappa
    Subramanian, Nachiappan
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 147 : 460 - 471
  • [2] Drivers of Reverse Logistics Activities: An Empirical Investigation
    Akdogan, M. Sukru
    Coskun, Aysen
    [J]. 8TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE, 2012, 58 : 1640 - 1649
  • [3] Cleaner Production initiatives and challenges for a sustainable world: an introduction to this special volume
    Almeida, C. M. V. B.
    Bonilla, S. H.
    Giannetti, B. F.
    Huisingh, D.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2013, 47 : 1 - 10
  • [4] [Anonymous], 2008, PRIC COOP REP REV LO
  • [5] [Anonymous], 2012, GLOBAL J FLEX SYST M, DOI DOI 10.1007/S40171-012-0007
  • [6] [Anonymous], 2015, INT STRATEGIC MANAGE, DOI DOI 10.1016/J.ISM.2015.05.001
  • [7] [Anonymous], 2011, GLOCALIZED SOLUTIONS, DOI [10.1007/978-3-642-19692-8, DOI 10.1007/978-3-642-19692-8]
  • [8] [Anonymous], ANN REPORT
  • [9] Flexibility in reverse logistics: a framework and evaluation approach
    Bai, Chunguang
    Sarkis, Joseph
    [J]. JOURNAL OF CLEANER PRODUCTION, 2013, 47 : 306 - 318
  • [10] Supply-chain performance-measurement system management using neighbourhood rough sets
    Bai, Chunguang
    Sarkis, Joseph
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (09) : 2484 - 2500