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

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  • Bouzon, Marina
  • Govindan, Kannan
  • Rodriguez, Carlos Manuel Taboada

Abstract

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 (RL) practices to close the loop and diminish the amount of raw materials used in their production systems. However, implementing RL 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.

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  • Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos Manuel Taboada, 2015. "Reducing the extraction of minerals: Reverse logistics in the machinery manufacturing industry sector in Brazil using ISM approach," Resources Policy, Elsevier, vol. 46(P1), pages 27-36.
  • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p1:p:27-36
    DOI: 10.1016/j.resourpol.2015.02.001
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    References listed on IDEAS

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    Cited by:

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    2. Singh, Rajesh Kumar & Kumar, Anil & Garza-Reyes, Jose Arturo & de Sá, Marcelo M., 2020. "Managing operations for circular economy in the mining sector: An analysis of barriers intensity," Resources Policy, Elsevier, vol. 69(C).
    3. Luthra, Sunil & Mangla, Sachin Kumar & Sarkis, Joseph & Tseng, Ming-Lang, 2022. "Resources melioration and the circular economy: Sustainability potentials for mineral, mining and extraction sector in emerging economies," Resources Policy, Elsevier, vol. 77(C).
    4. Haleem, Abid & Luthra, Sunil & Mannan, Bisma & Khurana, Sonal & Kumar, Sanjay & Ahmad, Sirajuddin, 2016. "Critical factors for the successful usage of fly ash in roads & bridges and embankments: Analyzing indian perspective," Resources Policy, Elsevier, vol. 49(C), pages 334-348.
    5. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    6. Bag, Surajit & Yadav, Gunjan & Wood, Lincoln C. & Dhamija, Pavitra & Joshi, Sudhanshu, 2020. "Industry 4.0 and the circular economy: Resource melioration in logistics," Resources Policy, Elsevier, vol. 68(C).
    7. K. Mathiyazhagan & S. Sudhakar & Abhishek Bhalotia, 2018. "Modeling the criteria for selection of suppliers towards green aspect: a case in Indian automobile industry," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 65-84, March.
    8. Kavilal, E.G. & Prasanna Venkatesan, S. & Harsh Kumar, K.D., 2017. "An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer," Resources Policy, Elsevier, vol. 51(C), pages 204-218.

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    More about this item

    Keywords

    C38; L6; M1; O54;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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