IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v95y2024ics003801212400226x.html
   My bibliography  Save this article

Resilience optimization in disruption-prone sustainable reverse supply chains for lead-acid battery waste management in Brazil: A stochastic model for public and private policy formulation

Author

Listed:
  • Oliveira Silva, Wesley Douglas
  • Fontana, Marcele Elisa
  • Belarmino, Hugo Leonardo
  • Levino, Natallya
  • Marques, Pedro Carmona

Abstract

This study explores the relationship between disruptive events in supply chains and investments from public and private policies aimed at recovery. It focuses on the improper disposal of lead-acid battery waste in Brazil, which poses environmental and health risks, and suggests strategies for managing this waste through Brazilian reverse supply chains. A stochastic model was developed to optimize investments in resilient capabilities like absorption, adaptation, and recovery before and after disruptions. The results show that proactive investments should prioritize creating redundancies and collaboration to ensure timely restoration of waste supply, especially during low-severity events. The study provides a model that guides the allocation of resources for sustainable waste management in Brazilian lead-acid battery operations and highlights the importance of public and private policy formulation in enhancing supply chain resilience.

Suggested Citation

  • Oliveira Silva, Wesley Douglas & Fontana, Marcele Elisa & Belarmino, Hugo Leonardo & Levino, Natallya & Marques, Pedro Carmona, 2024. "Resilience optimization in disruption-prone sustainable reverse supply chains for lead-acid battery waste management in Brazil: A stochastic model for public and private policy formulation," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:soceps:v:95:y:2024:i:c:s003801212400226x
    DOI: 10.1016/j.seps.2024.102027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S003801212400226X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2024.102027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Antonio Marco-Ferreira & Reginaldo Fidelis & Diogo José Horst & Pedro Paulo Andrade Junior, 2023. "Mitigating the impacts of COVID-19: failure mode and effect analysis and supply chain resilience (FMEA-SCR) combined model," Modern Supply Chain Research and Applications, Emerald Group Publishing Limited, vol. 5(3), pages 158-175, October.
    2. Weihua Liu & Di Wang & Ou Tang & Donglei Zhu, 2018. "The impacts of logistics service integrator's overconfidence behaviour on supply chain decision under demand surge," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 12(4), pages 558-597.
    3. Faiz, Tasnim Ibn & Harrison, Kenneth W., 2024. "A risk-averse stochastic optimization model for community resilience planning," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    4. Lian Qi & Zuo-Jun Max Shen & Lawrence V. Snyder, 2010. "The Effect of Supply Disruptions on Supply Chain Design Decisions," Transportation Science, INFORMS, vol. 44(2), pages 274-289, May.
    5. Wesley Douglas Oliveira Silva & Marcele Elisa Fontana & Bianca Maria Jacinto de Almeida & Pedro Carmona Marques & Raphaela Vidal, 2023. "Analyzing the Attractiveness of Businesses to Receive Investments for a Creative and Innovative Transition to a Circular Economy: The Case of the Textile and Fashion Industry," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    6. Wesley Douglas Oliveira Silva & Danielle Costa Morais & Ketylen Gomes da Silva & Pedro Carmona Marques, 2023. "Exploring Influential Factors with Structural Equation Modeling–Artificial Neural Network to Involve Medicine Users in Home Medicine Waste Management and Preventing Pharmacopollution," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    7. Wilson, Martha C., 2007. "The impact of transportation disruptions on supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 295-320, July.
    8. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    9. Sonia Irshad Mari & Young Hae Lee & Muhammad Saad Memon, 2016. "Sustainable and Resilient Garment Supply Chain Network Design with Fuzzy Multi-Objectives under Uncertainty," Sustainability, MDPI, vol. 8(10), pages 1-22, October.
    10. Laiany Rodrigues Marinho & Márcio das Chagas Moura & Beatriz Sales Cunha & Isis Didier Lins, 2020. "Optimization of Investments in the Resilience of Water Distribution Systems Subject to Interruptions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 929-954, February.
    11. Mark Turnquist & Eric Vugrin, 2013. "Design for resilience in infrastructure distribution networks," Environment Systems and Decisions, Springer, vol. 33(1), pages 104-120, March.
    12. Xu, Jiuping & Huang, Yidan & Shi, Yi & Li, Ruolan, 2022. "Reverse supply chain management approach for municipal solid waste with waste sorting subsidy policy," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    13. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    14. Marcele Elisa Fontana & Raphaela Vidal & Pedro Carmona Marques & Wesley Douglas Oliveira Silva, 2023. "Priority model for critical success factors in reverse flow inventory management," International Journal of Inventory Research, Inderscience Enterprises Ltd, vol. 6(2), pages 116-134.
    15. Ray, Saibal & Jewkes, E. M., 2004. "Customer lead time management when both demand and price are lead time sensitive," European Journal of Operational Research, Elsevier, vol. 153(3), pages 769-781, March.
    16. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    17. Na Wang & Jingze Chen & Hongfeng Wang, 2023. "Resilient Supply Chain Optimization Considering Alternative Supplier Selection and Temporary Distribution Center Location," Mathematics, MDPI, vol. 11(18), pages 1-22, September.
    18. K. Mostaghimi & J. Behnamian, 2023. "Waste minimization towards waste management and cleaner production strategies: a literature review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12119-12166, November.
    19. Zhaobo Chen & Chunxian Teng & Ding Zhang & Jiayi Sun, 2016. "Modelling inter-supply chain competition with resource limitation and demand disruption," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(7), pages 1644-1658, May.
    20. Devika, K. & Jafarian, A. & Nourbakhsh, V., 2014. "Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques," European Journal of Operational Research, Elsevier, vol. 235(3), pages 594-615.
    21. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    22. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    23. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    2. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    3. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    4. Aghajani, Mojtaba & Ali Torabi, S. & Altay, Nezih, 2023. "Resilient relief supply planning using an integrated procurement-warehousing model under supply disruption," Omega, Elsevier, vol. 118(C).
    5. Luis Francisco López-Castro & Elyn L. Solano-Charris, 2021. "Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    6. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    7. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    8. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    9. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    10. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    11. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    12. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    13. Basu R, Jothi & Abdulrahman, Muhammad D. & Yuvaraj, M., 2023. "Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    14. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    15. Md Maruf Hossan Chowdhury & Mohammad Tarikul Islam & Imran Ali & Mohammed Quaddus, 2024. "The role of social capital, resilience, and network complexity in attaining supply chain sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 2621-2639, March.
    16. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    17. Barbara Ocicka & Wioletta Mierzejewska & Jakub Brzeziński, 2022. "Creating supply chain resilience during and post-COVID-19 outbreak: the organizational ambidexterity perspective," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(1), pages 129-151, March.
    18. Jianlan Zhong & Han Cheng & Fu Jia, 2024. "Supply chain resilience capability factors in agri-food supply chains," Operations Management Research, Springer, vol. 17(3), pages 850-868, September.
    19. Abushaega, Mastoor M. & González, Andrés D. & Moshebah, Osamah Y., 2024. "A fairness-based multi-objective distribution and restoration model for enhanced resilience of supply chain transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    20. El-Awady Attia & Ali Alarjani & Md. Sharif Uddin & Ahmed Farouk Kineber, 2023. "Determining the Stationary Enablers of Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-23, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:95:y:2024:i:c:s003801212400226x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.