Skip to main content
SpringerLink
Log in

A Multi-objective Robust Optimization Model for Green Supply Chain Design Under Uncertainty

  • Conference paper
  • First Online:
Logistics and Supply Chain Management (LSCM 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1458))

Included in the following conference series:

  • 751 Accesses

Abstract

Nowadays, because of the growing competition and industrialization globally, the design of supply chain network has been noticed by many researchers. Additionally, because of environmental issues, social responsibility, governmental regulation, and lack of resources, many companies have focused on the green supply chain (GSC). A GSC network includes a forward supply chain combining environmental issues. In this regard, we propose a multi-echelon, multi-product, multi-objective, mixed-integer linear programming (MILP) model, considering multiple suppliers, multiple transportation modes, and multiple environmental protection levels for manufacturing plants that are developed for a GSC network problem. The model has two goals: the first one is to decrease the economic cost, and the second is to reduce environmental influences. Also, we consider demand and cost parameters under uncertainty. A robust optimization method is employed to handle uncertain parameters, and the suggested problem is resolved as a one objective MILP model using the LP-metric approach. A statistical example is offered to show the applicability of the given model.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Altmann, M., Bogaschewsky, R.: An environmentally conscious robust closed-loop supply chain design. J. Bus. Econ. 84(5), 613–637 (2014). https://doi.org/10.1007/s11573-014-0726-4

    Article  Google Scholar 

  2. Alinezahd, M.: A new multi-product closed-loop supply chain network design in dairy industry. Iran. J. Oper. Res. 10(1), 85–101 (2019)

    Google Scholar 

  3. Alinezhad, M., Mahdavi, I., Rezaeian, J.: Network design for multi-product, multi-echelon closed-loop supply chain in dairy industry (2017)

    Google Scholar 

  4. Chaabane, A., Ramudhin, A., Paquet, M.: Design of sustainable supply chains under the emission trading scheme. Int. J. Prod. Econ. 135(1), 37–49 (2012)

    Article  Google Scholar 

  5. Diabat, A., Simchi-Levi, D.: A carbon-capped supply chain network problem. In: 2009 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE (2009)

    Google Scholar 

  6. Fahimnia, B., et al.: Policy insights from a green supply chain optimization model. Int. J. Prod. Res. 53(21), 6522–6533 (2015)

    Article  Google Scholar 

  7. Geoffrion, A.M., Graves, G.W.: Multicommodity distribution system design by Benders decomposition. Manage. Sci. 20(5), 822–844 (1974)

    Article  Google Scholar 

  8. Gholizadeh, H., Fazlollahtabar, H.: Robust optimization and modified genetic algorithm for a closed loop green supply chain under uncertainty: case study in melting industry. Comput. Ind. Eng. 147, 106653 (2020)

    Google Scholar 

  9. Goodarzian, F., Hosseini-Nasab, H., Muñuzuri, J., Fakhrzad, M.B.: A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: a comparison of meta-heuristics. Appl. Soft Comput. 92, 106331 (2020)

    Google Scholar 

  10. Goodarzian, F., Shishebori, D., Nasseri, H., Dadvar, F.: A bi-objective production-distribution problem in a supply chain network under grey flexible conditions. RAIRO-Oper. Res. 55, S1287–S1316 (2021)

    Article  MathSciNet  Google Scholar 

  11. Guillén-Gosálbez, G., Grossmann, I.E.: Optimal design and planning of sustainable chemical supply chains under uncertainty. AIChE J. 55(1), 99–121 (2009)

    Article  Google Scholar 

  12. Harris, I., et al.: Assessing the impact of cost optimization based on infrastructure modeling on CO2 emissions. Int. J. Prod. Econ. 131(1), 313–321 (2011)

    Article  Google Scholar 

  13. Hasani, A., Zegordi, S.H., Nikbakhsh, E.: Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry, Int. J. Prod. Res. 53(5), 1596–1624 (2015).

    Google Scholar 

  14. Jamshidi, R., FatemiGhomi, S.M.T., Karimi, B.: Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method. ScientiaIranica 19(6), 1876–1886 (2012)

    Google Scholar 

  15. Leung, S.C.H., et al.: A robust optimization model for multi-site production planning problem in an uncertain environment. Eur. J. Oper. Res. 181(1), 224–238 (2007)

    Article  Google Scholar 

  16. Lotfi, R., Yadegari, Z., Hosseini, S.H., Khameneh, A.H., Tirkolaee, E.B., Weber, G.W.: A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: a case study for a bridge construction project. J. Ind. Manag. Optim. (2020). https://doi.org/10.3934/jimo.2020158

  17. Mallidis, I., Dekker, R., Vlachos, D.: The impact of greening on supply chain design and cost: a case for a developing region. J. Transp. Geogr. 22, 118–128 (2012)

    Article  Google Scholar 

  18. Mele, F.D., Guille´n-Gosa´lbez, G., Jime´nez, L., Bandoni, A.: Optimal planning of sustainable supply chain sugar and bioethanol production. In: 10th International Symposium on Process Systems Engineering (PSE 2009), pp. 597–602 (2009)

    Google Scholar 

  19. Mulvey, J.M., Ruszczyński, A.: A new scenario decomposition method for large-scale stochastic optimization. Oper. Res. 43(3), 477–490 (1995)

    Article  MathSciNet  Google Scholar 

  20. Paksoy, T., et al.: A multi-objective model for optimization of a green supply chain network. In: AIP Conference Proceedings, vol. 1239. No. 1 (2010)

    Google Scholar 

  21. Pan, F., Nagi, R.: Robust supply chain design under uncertain demand in agile manufacturing. Comput. Oper. Res. 37(4), 668–683 (2010)

    Article  Google Scholar 

  22. Pishvaee, M.S., Rabbani, M., Torabi, S.A.: A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 35(2), 637–649 (2011)

    Article  MathSciNet  Google Scholar 

  23. Rahemi, H., Torabi, S.A., Avami, A., Jolai, F.: Bioethanol supply chain network design considering land characteristics. Renew. Sustain. Energy Rev. 119, 109517 (2020)

    Google Scholar 

  24. Ramudhin, A., et al.: Carbon market sensitive green supply chain network design. In: IEEE International Conference on Industrial Engineering and Engineering Management (2008)

    Google Scholar 

  25. Ruimin, M.A., et al.: Robust environmental closed-loop supply chain design under uncertainty. Chaos Solitons Fractals 89, 195–202 (2016)

    Article  Google Scholar 

  26. Sarkis, J., Zhu, Q., Lai, K.-H.: An organizational theoretic review of green supply chain management literature. Int. J. Prod. Econ. 130(1), 1–15 (2011)

    Article  Google Scholar 

  27. Seuring, S., Müller, M.: From a literature review to a conceptual framework for the sustainable supply chain management. J. Clean. Prod. 16(15), 1699–1710 (2008)

    Article  Google Scholar 

  28. Tirkolaee, E.B., Abbasian, P., Weber, G.W.: Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. Sci. Total Environ. 756, 143607 (2021)

    Google Scholar 

  29. Tsai, W.-H., Hung, S.-J.: A fuzzy goal programming approach for green supply chain optimization under activity-based costing and performance evaluation with a value-chain structure. Int. J. Prod. Res. 47(18), 4991–5017 (2009)

    Article  Google Scholar 

  30. Validi, S., Bhattacharya, A., Byrne, P.J.: A case analysis of a sustainable food supply chain distribution system—A multi-objective approach. Int. J. Prod. Econ. 152, 71–87 (2014)

    Article  Google Scholar 

  31. Wang, F., Lai, X., Shi, N.: A multi-objective optimization for green supply chain network design. Decis. Support Syst. 51(2), 262–269 (2011)

    Article  Google Scholar 

  32. Yang, G., Liu, Y.: Designing fuzzy supply chain network problem by mean-risk optimization method. J. Intell. Manuf. 26(3), 447–458 (2013). https://doi.org/10.1007/s10845-013-0801-7

    Article  Google Scholar 

  33. Yu, C.-S., Li, H.-L.: A robust optimization model for stochastic logistic problems. Int. J. Prod. Econ. 64(1), 385–397 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran

    Mazyar Sasanian, Nikbakhsh Javadian & Masoud Alinezhad

Authors
  1. Mazyar Sasanian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nikbakhsh Javadian
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Masoud Alinezhad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Masoud Alinezhad .

Editor information

Editors and Affiliations

  1. Kharazmi University, Tehran, Iran

    Zohreh Molamohamadi

  2. Istinye University, Istanbul, Turkey

    Erfan Babaee Tirkolaee

  3. Kharazmi University, Tehran, Iran

    Abolfazl Mirzazadeh

  4. Poznań University of Technology, Poznań, Poland

    Gerhard-Wilhelm Weber

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sasanian, M., Javadian, N., Alinezhad, M. (2021). A Multi-objective Robust Optimization Model for Green Supply Chain Design Under Uncertainty. In: Molamohamadi, Z., Babaee Tirkolaee, E., Mirzazadeh, A., Weber, GW. (eds) Logistics and Supply Chain Management. LSCM 2020. Communications in Computer and Information Science, vol 1458. Springer, Cham. https://doi.org/10.1007/978-3-030-89743-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-89743-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89742-0

  • Online ISBN: 978-3-030-89743-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation