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Sustainable Factors for Supply Chain Network Design Under Uncertainty: A Literature Review

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Digitizing Production Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The concept of sustainability, which is considered three pillars covering the concept of economic, environmental, and social factors, has become an effectual attempt to increase competitiveness for institutions. Being sustainable in the supply chain enables enterprises to respond to increasing customer needs in the most appropriate way. Today, traditional supply chains are replaced by sustainable logistics network designs due to environmental and social requirements. In this study, considering the uncertainty situation, the studies carried out on closed loop supply chains that are formed as a result of integration of forward and reverse logistics as well as forward and reverse logistics by itself are examined on the basis of sustainability factors. Sustainability sub-factors are also included in this study. As a result of the research, brief explanations can be seen about sustainable supply chain network under the uncertainty covering all three sustainability factors and gaps in the literature are clarified for future research opportunities.

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References

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

    Google Scholar 

  2. Carter, C.R., Rogers, D.S.: A framework of sustainable supply chain management: moving toward new theory. Int. J. Phys. Distrib. Logist. Manag. 38, 360–387 (2008)

    Google Scholar 

  3. Wang, Y., et al.: Two-echelon logistics delivery and pickup network optimization based on integrated cooperation and transportation fleet sharing. Exp. Syst. Appl. 113, 44–65 (2018)

    Google Scholar 

  4. Wang, Y., Zhang, S., Guan, X., Peng, S., Wang, H., Liu, Y., Maozeng, X.: Collaborative multi-depot logistics network design with time window assignment. Exp. Syst. Appl. 140, 112910 (2020)

    Google Scholar 

  5. Sahebjamnia, N., Fathollahi-Fard, A.M., Hajiaghaei-Keshteli, M.: Sustainable tire closed-loop supply chain network design: hybrid metaheuristic algorithms for large-scale networks. J. Clean. Prod. 196, 273–296 (2018)

    Google Scholar 

  6. Devika, K., Jafarian, A., Nourbakhsh, V.: Designing a sustainable closed-loop supply chain network based on triple bottom line approach: a comparison of metaheuristics hybridization techniques. Eur. J. Oper. Res. 235, 594–615 (2014)

    MathSciNet  MATH  Google Scholar 

  7. Zhang, B., Li, H., Li, S., Peng, J.: Sustainable multi-depot emergency facilities location-routing problem with uncertain information. Appl. Math. Comput. 333, 506–520 (2018)

    MathSciNet  MATH  Google Scholar 

  8. Kim, J., Chung, B.D., Kang, Y., Jeong, B.: Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty. J. Clean. Prod. 196, 1314–1328 (2018)

    Google Scholar 

  9. Georgiadis, P., Athanasiou, E.: Flexible long-term capacity planning in closed-loop supply chains with remanufacturing. Eur. J. Oper. Res. 225, 44–58 (2013)

    Google Scholar 

  10. Mirchandani, P.B., Francis, R.L.: Discrete Location Theory. Wiley Publication, New York (1990)

    MATH  Google Scholar 

  11. Spengler, T., Püchert, H., Penkuhn, T., Rentz, O.: Environmental integrated production and recycling management. Eur. J. Oper. Res. 97, 308–326 (1997)

    MATH  Google Scholar 

  12. Daniel, V., Guide, R., Van Wassenhove, L.N.: Closed-loop supply chains. In: Andreas Klose, M., Speranza, G., Van Wassenhove, L.N. (eds.) Quantitative Approaches to Distribution Logistics and Supply Chain Management, pp. 47–60. Springer, Heidelberg (2002). https://doi.org/10.1007/978-3-642-56183-2_4

    Chapter  Google Scholar 

  13. Zhen, L., Huang, L., Wang, W.: Green and sustainable closed-loop supply chain network design under uncertainty. J. Clean. Prod. 227, 1195–1209 (2019)

    Google Scholar 

  14. Ebrahimi, S.B.: A stochastic multi-objective location-allocation-routing problem for tire supply chain considering sustainability aspects and quantity discounts. J. Clean. Prod. 198, 704–720 (2018)

    Google Scholar 

  15. Jiao, Z., Ran, L., Zhang, Y., Li, Z., Zhang, W.: Data-driven approaches to integrated closed-loop sustainable supply chain design under multi-uncertainties. J. Clean. Prod. 185, 105–127 (2018)

    Google Scholar 

  16. Fathollahi-Fard, A.M., Hajiaghaei-Keshteli, M.: A stochastic multi-objective model for a closed-loop supply chain with environmental considerations. Appl. Soft Comput. 69, 232–249 (2018)

    Google Scholar 

  17. Wang, J., Lim, M.K., Tseng, M.L., Yang, Y.: Promoting low carbon agenda in the urban logistics network distribution system. J. Clean. Prod. 211, 146–160 (2019)

    Google Scholar 

  18. Zarbakhshnia, N., Soleimani, H., Goh, M., Razavi, S.S.: A novel multi-objective model for green forward and reverse logistics network design. J. Clean. Prod. 208, 1304–1316 (2019)

    Google Scholar 

  19. Govindan, K., Mina, H., Esmaeili, A., Gholami-Zanjani, S.M.: An integrated hybrid approach for circular supplier selection and closed loop supply chain network design under uncertainty. J. Clean. Prod. 242, 118317 (2020)

    Google Scholar 

  20. Paksoy, T., Bektaş, T., Özceylan, E.: Operational and environmental performance measures in a multi-product closed-loop supply chain. Transp. Res. Part E Logist. Transp. Rev. 47, 532–546 (2011)

    Google Scholar 

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

    Google Scholar 

  22. Yu, H., Solvang, W.D.: A fuzzy-stochastic multi-objective model for sustainable planning of a closed-loop supply chain considering mixed uncertainty and network flexibility. J. Cleaner Prod. 266, 121702 (2020)

    Google Scholar 

  23. Tao, Y., Wu, J., Lai, X., Wang, F.: Network planning and operation of sustainable closed-loop supply chains in emerging markets: retail market configurations and carbon policies. Transp. Res. Part E Logist. Transp. Rev. 144, 102131 (2020)

    Google Scholar 

  24. Shahparvari, S., Soleimani, H., Govindan, K., Bodaghi, B., Fard, M.T., Jafari, H.: Closing the loop: redesigning sustainable reverse logistics network in uncertain supply chains. Comput. Ind. Eng. 157, 107093 (2021)

    Google Scholar 

  25. Yu, H., Solvang, W.D.: Incorporating flexible capacity in the planning of a multi-product multi-echelon sustainable reverse logistics network under uncertainty. J. Clean. Prod. 198, 285–303 (2018)

    Google Scholar 

  26. Trochu, J., Chaabane, A., Ouhimmou, M.: A carbon-constrained stochastic model for eco-efficient reverse logistics network design under environmental regulations in the CRD industry. J. Clean. Prod. 245, 118818 (2020)

    Google Scholar 

  27. Sadrnia, A., Langarudi, N.R., Sani, A.P.: Logistics network design to reuse second-hand household appliances for charities. J. Clean. Prod. 244, 118717 (2020)

    Google Scholar 

  28. Yu, H., Solvang, W.D.: A carbon-constrained stochastic optimization model with augmented multi-criteria scenario-based risk-averse solution for reverse logistics network design under uncertainty. J. Clean. Prod. 164, 1248–1267 (2017)

    Google Scholar 

  29. Mahjoub, N., Sahebi, H.: The water-energy nexus at the hybrid bioenergy supply chain: a sustainable network design model. Ecol. Ind. 119, 106799 (2020)

    Google Scholar 

  30. Hasani, A., Mokhtari, H., Fattahi, M.: A multi-objective optimization approach for green and resilient supply chain network design: a real-life case study. J. Clean. Prod. 278, 123199 (2021)

    Google Scholar 

  31. Dehghani, E., Jabalameli, M.S., Naderi, M.J., Safari, A.: An environmentally conscious photovoltaic supply chain network design under correlated uncertainty: a case study in Iran. J. Clean. Prod. 262, 121434 (2020)

    Google Scholar 

  32. Soleimani, H.: A new sustainable closed-loop supply chain model for mining industry considering fixed-charged transportation: a case study in a travertine quarry. Resour. Policy, 101230 (2018)

    Google Scholar 

  33. Mota, B., Gomes, M.I., Carvalho, A., Barbosa-Povoa, A.P.: Towards supply chain sustainability: economic, environmental and social design and planning. J. Clean. Prod. 105, 14–27 (2015)

    Google Scholar 

  34. Feitó-Cespón, M., Sarache, W., Piedra-Jimenez, F., Cespón-Castro, R.: Redesign of a sustainable reverse supply chain under uncertainty: a case study. J. Clean. Prod. 151, 206–217 (2017)

    Google Scholar 

  35. Rahimi, M., Ghezavati, V.: Sustainable multi-period reverse logistics network design and planning under uncertainty utilizing conditional value at risk (CVaR) for recycling construction and demolition waste. J. Clean. Prod. 172, 1567–1581 (2018)

    Google Scholar 

  36. Zarbakhshnia, N., Wu, Y., Govindan, K., Soleimani, H.: A novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics. J. Clean. Prod. 242, 118461 (2020)

    Google Scholar 

  37. Govindan, K., Paam, P., Abtahi, A.R.: A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecol. Ind. 67, 753–768 (2016)

    Google Scholar 

  38. Ghaderi, H., Moini, A., Pishvaee, M.S.: A multi-objective robust possibilistic programming approach to sustainable switchgrass-based bioethanol supply chain network design. J. Clean. Prod. 179, 368–406 (2018)

    Google Scholar 

  39. Tsao, Y.C., Thanh, V.V.: A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport -dry port network design under an uncertain environment. Transp. Res. Part E: Logist. Transp. Rev. 124, 13–39 (2019)

    Google Scholar 

  40. Sherafati, M., Bashiri, M., Tavakkoli-Moghaddam, R., Pishvaee, M.S.: Supply chain network design considering sustainable development paradigm: A case study in cable industry. J. Clean. Prod. 234, 366–380 (2019)

    Google Scholar 

  41. Tsao, Y.C., Thanh, V.V., Lu, J.C., Yu, V.: Designing sustainable supply chain networks under uncertain environments: fuzzy multi-objective programming. J. Clean. Prod. 174, 1550–1565 (2018)

    Google Scholar 

  42. Mota, B., Gomes, M.I., Carvalho, A., Barbosa-Povoa, A.P.: Sustainable supply chains: an integrated modeling approach under uncertainty. Omega 77, 32–57 (2018)

    Google Scholar 

  43. Goedkoop, M., Heijungs, R., Huijbregts, M., De Schryver, A., Struijs, J., Van Zelm, R.: ReCiPe 2008: A Life Cycle Impact Assessment Method which Comprises Harmonised Category Indicators at the Midpoint and the Endpoint Level, vol. 1, pp. 1–126 (January 2009)

    Google Scholar 

  44. Zhang, S., Lee, C.K.M., Wu, K., Choy, K.L.: Multi-objective optimization for sustainable supply chain network design considering multiple distribution channels. Exp. Syst. Appl. 65, 87–99 (2016)

    Google Scholar 

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Acknowledgments

The authors sincerely thank Organizing Committee and all reviewers for their kind attentions and comments.

Author information

Authors and Affiliations

  1. Industrial Engineering, Çankaya University, Ankara, Turkey

    Simge Yozgat

  2. Industrial Engineering, Gazi University, Ankara, Turkey

    Serpil Erol

Authors
  1. Simge Yozgat
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  2. Serpil Erol
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Corresponding author

Correspondence to Simge Yozgat .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical and Industrial Engineering, Institute of Production Engineering and Photonic Technologies, TU Wien (Vienna University of Technology), Vienna, Austria

    Numan M. Durakbasa

  2. Faculty of Engineering, Industrial Engineering Department, İstanbul Aydın University, İstanbul, Turkey

    M. Güneş Gençyılmaz

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Yozgat, S., Erol, S. (2022). Sustainable Factors for Supply Chain Network Design Under Uncertainty: A Literature Review. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds) Digitizing Production Systems. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90421-0_51

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  • DOI: https://doi.org/10.1007/978-3-030-90421-0_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90420-3

  • Online ISBN: 978-3-030-90421-0

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