Reducing the extraction of minerals: Reverse logistics in the machinery manufacturing industry sector in Brazil using ISM approach

被引:52
作者
Bouzon, Marina [1 ,2 ]
Govindan, Kannan [1 ]
Taboada Rodriguez, Carlos Manuel [2 ]
机构
[1] Univ Southern Denmark, Dept Econ & Business, Odense, Denmark
[2] Univ Fed Santa Catarina, Dept Prod & Syst Engn, BR-88040900 Florianopolis, SC, Brazil
关键词
Reverse logistics; Barrier analysis; MCDM; ISM; Brazil; SUPPLY CHAIN MANAGEMENT; PRODUCT RECOVERY; WASTE MANAGEMENT; NATIONAL POLICY; BARRIERS; DRIVERS; IMPLEMENTATION; CHALLENGES; STRATEGIES; CRADLE;
D O I
10.1016/j.resourpol.2015.02.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mass consumption and shortening product lifecycles have increased worldwide production. Consequently, more raw materials such as minerals are used, and available landfills are filling up. Companies are urged to effectively incorporate sustainability issues such as End-of-life (EOL) management and Reverse Logistics (RI) practices to close the loop and diminish the amount of raw materials used in their production systems. However, implementing RI. implies dealing with its barriers. The purpose of this article is to focus on the recovery of EOL products that use mostly raw materials from the mining and minerals industry by identifying and analyzing the interactions among the barriers that hinder RL development in Brazil. First, international peer-reviewed publications were considered to select the barriers and classify them into categories. In a second moment, an empirical research was conducted using the Multi-Criteria Decision Making (MCDM) tool named Interpretive Structural Modeling (ISM) to evaluate the relationship between the barrier categories. Logistics experts from machinery manufacturing industry sector in Brazil were consulted. The greater influence on all barrier categories is Policy related issues barrier category, which means that the lack of specific laws and lack of motivational legislation are still significant impediments to RL implementation in Brazil. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:27 / 36
页数:10
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