IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v74y2021ics0301420717306670.html
   My bibliography  Save this article

Sustainable planning in mining supply chains with renewable energy integration: A real-life case study

Author

Listed:
  • Fattahi, Mohammad
  • Mosadegh, Hadi
  • Hasani, Aliakbar

Abstract

This paper focuses on sustainable planning of a mining supply chain network from mining sites to demand centers. In the network, wind and solar generators can be installed in mining sites to attain low carbon mining operations. The uncertainty related to the renewable energy resources is taken into account, and to find an effective and reliable planning strategy, we present a novel cost-efficient multi-stage stochastic program in which strategic and tactical planning decisions are integrated. In the stochastic model, beside the economic goal, the greenhouse gas emissions from transportation through the network are mitigated and the social impact of the supply chain is considered using a social life cycle assessment methodology. A real case study in Iran related to the production of zinc concentrates from mines is implemented to demonstrate the applicability of the proposed optimization model in evaluating the economic objective, the sustainability issues, and the infrastructure needs for the renewable energy integration. Furthermore, a sensitivity analysis on main parameters of the problem is performed to drive some managerial insights that help decision makers in sustainable planning of mining supply chains.

Suggested Citation

  • Fattahi, Mohammad & Mosadegh, Hadi & Hasani, Aliakbar, 2021. "Sustainable planning in mining supply chains with renewable energy integration: A real-life case study," Resources Policy, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420717306670
    DOI: 10.1016/j.resourpol.2018.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420717306670
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2018.11.010?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. Govindan, K. & Muduli, K. & Devika, K. & Barve, A., 2016. "Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 185-194.
    2. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    3. Mehdi Golari & Neng Fan & Tongdan Jin, 2017. "Multistage Stochastic Optimization for Production-Inventory Planning with Intermittent Renewable Energy," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 409-425, March.
    4. Keyvanshokooh, Esmaeil & Ryan, Sarah M. & Kabir, Elnaz, 2016. "Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition," European Journal of Operational Research, Elsevier, vol. 249(1), pages 76-92.
    5. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    6. Boulamanti, Aikaterini & Moya, Jose Antonio, 2016. "Production costs of the non-ferrous metals in the EU and other countries: Copper and zinc," Resources Policy, Elsevier, vol. 49(C), pages 112-118.
    7. Dehghanian, Farzad & Mansour, Saeed, 2009. "Designing sustainable recovery network of end-of-life products using genetic algorithm," Resources, Conservation & Recycling, Elsevier, vol. 53(10), pages 559-570.
    8. Hilson, Gavin & Murck, Barbara, 2000. "Sustainable development in the mining industry: clarifying the corporate perspective," Resources Policy, Elsevier, vol. 26(4), pages 227-238, December.
    9. Nickel, Stefan & Saldanha-da-Gama, Francisco & Ziegler, Hans-Peter, 2012. "A multi-stage stochastic supply network design problem with financial decisions and risk management," Omega, Elsevier, vol. 40(5), pages 511-524.
    10. Fleury, Anne-Marie & Davies, Bejamin, 2012. "Sustainable supply chains—minerals and sustainable development, going beyond the mine," Resources Policy, Elsevier, vol. 37(2), pages 175-178.
    11. Goh, Mark & Lim, Joseph Y.S. & Meng, Fanwen, 2007. "A stochastic model for risk management in global supply chain networks," European Journal of Operational Research, Elsevier, vol. 182(1), pages 164-173, October.
    12. Muduli, Kamalakanta & Govindan, Kannan & Barve, Akhilesh & Kannan, Devika & Geng, Yong, 2013. "Role of behavioural factors in green supply chain management implementation in Indian mining industries," Resources, Conservation & Recycling, Elsevier, vol. 76(C), pages 50-60.
    13. Santoso, Tjendera & Ahmed, Shabbir & Goetschalckx, Marc & Shapiro, Alexander, 2005. "A stochastic programming approach for supply chain network design under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 96-115, November.
    14. Tiainen, Heidi, 2016. "Contemplating governance for social sustainability in mining in Greenland," Resources Policy, Elsevier, vol. 49(C), pages 282-289.
    15. Pimentel, Bruno S. & Mateus, Geraldo R. & Almeida, Franklin A., 2013. "Stochastic capacity planning and dynamic network design," International Journal of Production Economics, Elsevier, vol. 145(1), pages 139-149.
    16. Shen, Lixin & Muduli, Kamalakanta & Barve, Akhilesh, 2015. "Developing a sustainable development framework in the context of mining industries: AHP approach," Resources Policy, Elsevier, vol. 46(P1), pages 15-26.
    17. Schütz, Peter & Tomasgard, Asgeir & Ahmed, Shabbir, 2009. "Supply chain design under uncertainty using sample average approximation and dual decomposition," European Journal of Operational Research, Elsevier, vol. 199(2), pages 409-419, December.
    18. 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.
    19. Tiainen, Heidi & Sairinen, Rauno & Novikov, Viktor, 2014. "Mining in the Chatkal Valley in Kyrgyzstan—Challenge of social sustainability," Resources Policy, Elsevier, vol. 39(C), pages 80-87.
    20. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    21. Holger Heitsch & Werner Römisch, 2009. "Scenario tree reduction for multistage stochastic programs," Computational Management Science, Springer, vol. 6(2), pages 117-133, May.
    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. Mohammad Fattahi, 2020. "A data-driven approach for supply chain network design under uncertainty with consideration of social concerns," Annals of Operations Research, Springer, vol. 288(1), pages 265-284, May.
    2. Govindan, Kannan & Fattahi, Mohammad, 2017. "Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 680-699.
    3. Fattahi, Mohammad & Govindan, Kannan & Keyvanshokooh, Esmaeil, 2017. "Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 176-200.
    4. 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.
    5. Blossey, Gregor & Hahn, Gerd J. & Koberstein, Achim, 2022. "Planning pharmaceutical manufacturing networks in the light of uncertain production approval times," International Journal of Production Economics, Elsevier, vol. 244(C).
    6. Endl, Andreas & Tost, Michael & Hitch, Michael & Moser, Peter & Feiel, Susanne, 2021. "Europe's mining innovation trends and their contribution to the sustainable development goals: Blind spots and strong points," Resources Policy, Elsevier, vol. 74(C).
    7. M. Fattahi & M. Mahootchi & S. M. Moattar Husseini, 2016. "Integrated strategic and tactical supply chain planning with price-sensitive demands," Annals of Operations Research, Springer, vol. 242(2), pages 423-456, July.
    8. Sahling, Florian & Kayser, Ariane, 2016. "Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty," Omega, Elsevier, vol. 59(PB), pages 201-214.
    9. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
    10. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    11. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2016. "The impact of operations anticipations on the quality of stochastic location-allocation models," Omega, Elsevier, vol. 62(C), pages 19-33.
    12. Keyvanshokooh, Esmaeil & Ryan, Sarah M. & Kabir, Elnaz, 2016. "Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition," European Journal of Operational Research, Elsevier, vol. 249(1), pages 76-92.
    13. Roba W. Salem & Mohamed Haouari, 2017. "A simulation-optimisation approach for supply chain network design under supply and demand uncertainties," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1845-1861, April.
    14. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    15. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    16. Ben Mohamed, Imen & Klibi, Walid & Sadykov, Ruslan & Şen, Halil & Vanderbeck, François, 2023. "The two-echelon stochastic multi-period capacitated location-routing problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 645-667.
    17. Nickel, Stefan & Saldanha-da-Gama, Francisco & Ziegler, Hans-Peter, 2012. "A multi-stage stochastic supply network design problem with financial decisions and risk management," Omega, Elsevier, vol. 40(5), pages 511-524.
    18. Sadjady Naeeni, Hannan & Sabbaghi, Navid, 2022. "Sustainable supply chain network design: A case of the glass manufacturer in Asia," International Journal of Production Economics, Elsevier, vol. 248(C).
    19. Sabet, Ehsan & Yazdani, Baback & Kian, Ramez & Galanakis, Kostas, 2020. "A strategic and global manufacturing capacity management optimisation model: A Scenario-based multi-stage stochastic programming approach," Omega, Elsevier, vol. 93(C).
    20. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.

    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:jrpoli:v:74:y:2021:i:c:s0301420717306670. 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/inca/30467 .

    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.