500
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Green supply chain management under uncertainty: a review and content analysis

, , &
Pages 349-365 | Received 30 Aug 2021, Accepted 17 Dec 2021, Published online: 29 Dec 2021

References

  • Abdussalam O, Trochu J, Fello N, Chaabane A. 2021. Recent advances and opportunities in planning green petroleum supply chains: a model-oriented review. Int J Sustainable Dev World Ecol. 28(6):524–539. doi:10.1080/13504509.2020.1862935.
  • Ahi P, Searcy C. 2013. A comparative literature analysis of definitions for green and sustainable supply chain management. J Clean Prod. 52:329–341. doi:10.1016/j.jclepro.2013.02.018.
  • Alizadeh M, Ma J, Marufuzzaman M, Yu F. 2019. Sustainable olefin supply chain network design under seasonal feedstock supplies and uncertain carbon tax rate. J Clean Prod. 222:280–299. doi:10.1016/j.jclepro.2019.02.188.
  • Ameknassi L, Ait-Kadi D, Rezg N. 2016. Integration of logistics outsourcing decisions in a green supply chain design: a stochastic multi-objective multi-period multi-product programming model. Int J Prod Econ. 182:165–184. doi:10.1016/j.ijpe.2016.08.031.
  • Amiri M, Hashemi-Tabatabaei M, Ghahremanloo M, Keshavarz-Ghorabaee M, Zavadskas EK, Banaitis A. 2021. A new fuzzy BWM approach for evaluating and selecting a sustainable supplier in supply chain management. Int J Sustainable Dev World Ecol. 28(2):125–142. doi:10.1080/13504509.2020.1793424.
  • Arshinder S, Kanda A, Deshmukh SG. 2008. Supply chain coordination: perspectives, empirical studies and research directions. Int J Prod Econ. 115(2):316–335. doi:10.1016/j.ijpe.2008.05.011.
  • Atasu A, Corbett CJ, Huang X, Toktay LB. 2020. Sustainable operations management through the perspective of manufacturing & service operations management. M&Som-Manuf Serv Oper Manage. 22(1):146–157. doi:10.1287/msom.2019.0804.
  • Awasthi A, Kannan G. 2016. Green supplier development program selection using NGT and VIKOR under fuzzy environment. Comput Ind Eng. 91:100–108. doi:10.1016/j.cie.2015.11.011.
  • Awudu I, Zhang J. 2012. Uncertainties and sustainability concepts in biofuel supply chain management: a review. Renew Sustainable Energy Rev. 16(2):1359–1368. doi:10.1016/j.rser.2011.10.016.
  • Azevedo SG, Carvalho H, Cruz Machado V. 2011. The influence of green practices on supply chain performance: a case study approach. Transp Res Pt e-Logist Transp Rev. 47(6):850–871. doi:10.1016/j.tre.2011.05.017.
  • Bakal IS, Akcali E. 2006. Effects of random yield in remanufacturing with price-sensitive supply and demand. Prod Oper Manage. 15(3):407–420. doi:10.1111/j.1937-5956.2006.tb00254.x.
  • Banasik A, Kanellopoulos A, Bloemhof-Ruwaard JM, Claassen GDH. 2019. Accounting for uncertainty in eco-efficient agri-food supply chains: a case study for mushroom production planning. J Clean Prod. 216:249–256. doi:10.1016/j.jclepro.2019.01.153.
  • Bastas A, Liyanage K. 2018. Sustainable supply chain quality management: a systematic review. J Clean Prod. 181:726–744. doi:10.1016/j.jclepro.2018.01.110.
  • Bhattacharya K, De SK. 2021. A robust two layer green supply chain modelling under performance based fuzzy game theoretic approach. Comput Ind Eng. 152. doi:10.1016/j.cie.2020.107005.
  • Brandenburg M. 2015. Low carbon supply chain configuration for a new product - a goal programming approach. Int J Prod Res. 53(21):6588–6610. doi:10.1080/00207543.2015.1005761.
  • Braz AC, De Mello AM, de Vasconcelos Gomes LA, de Souza Nascimento PT. 2018. The bullwhip effect in closed-loop supply chains: a systematic literature review. J Clean Prod. 202:376–389. doi:10.1016/j.jclepro.2018.08.042.
  • Cai JH, Zhong M, Shang JF, Huang WL. 2017. Coordinating VMI supply chain under yield uncertainty: option contract, subsidy contract, and replenishment tactic. Int J Prod Econ. 185:196–210. English. doi:10.1016/j.ijpe.2016.12.032.
  • Cao J, Chen Y, Lu B, Tong C, Zhou G. 2015. Research on green supply chain coordination strategy for uncertain market demand. Pak J Pharm Sci. 28(2):687–692.
  • Chavoshlou AS, Khamseh AA, Naderi B. 2019. An optimization model of three-player payoff based on fuzzy game theory in green supply chain. Comput Ind Eng. 128:782–794. English. doi:10.1016/j.cie.2018.12.057.
  • Cheng YW, Mu D, Zhang Y. 2017. Mixed carbon policies based on cooperation of carbon emission reduction in supply chain. Discrete Dyn Nat Soc. 2017. doi:10.1155/2017/4379124.
  • Coenen J, van der Heijden R, van Riel ACR. 2018. Understanding approaches to complexity and uncertainty in closed-loop supply chain management: past findings and future directions. J Clean Prod. 201:1–13. doi:10.1016/j.jclepro.2018.07.216.
  • Cong J, Pang T, Peng HJ. 2020. Optimal strategies for capital constrained low-carbon supply chains under yield uncertainty. J Clean Prod. 256. doi:10.1016/j.jclepro.2020.120339.
  • de Lima FA, Seuring S, Sauer PC. 2021. A systematic literature review exploring uncertainty management and sustainability outcomes in circular supply chains. Int J Prod Res. doi:10.1080/00207543.00202021.01976859
  • De M, Giri BC. 2020. Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy. Transp Res Part E Logist Transp Rev. 133. doi:10.1016/j.tre.2019.1011.1007.
  • Deng XY, Jiang W. 2019. Evaluating green supply chain management practices under fuzzy environment: a novel method based on D number theory. Int J Fuzzy Syst. 21(5):1389–1402. English. doi:10.1007/s40815-019-00639-5.
  • Diabat A, Al-Salem M. 2015. An integrated supply chain problem with environmental considerations. Int J Prod Econ. 164:330–338. doi:10.1016/j.ijpe.2014.12.004.
  • Dolgui A, Prodhon C. 2007. Supply planning under uncertainties in MRP environments: a state of the art. Annu Rev Control. 31(2):269–279. doi:10.1016/j.arcontrol.2007.02.007.
  • Eroglu C, Hofer C. 2014. The effect of environmental dynamism on returns to inventory leanness. J Oper Manage. 32(6):347–356. English. doi:10.1016/j.jom.2014.06.006.
  • Fang C, Zhang J. 2018. Performance of green supply chain management: a systematic review and meta analysis. J Clean Prod. 183:1064–1081. doi:10.1016/j.jclepro.2018.02.171.
  • Fang, Shou. 2015. Managing supply uncertainty under supply chain Cournot competition. Eur J Oper Res. 243(1):156–176. doi:10.1016/j.ejor.2014.11.038.
  • Fu X, Zhu Q, Sarkis J. 2012. Evaluating green supplier development programs at a telecommunications systems provider. Int J Prod Econ. 140(1):357–367. doi:10.1016/j.ijpe.2011.08.030.
  • Gao R, Zhang ZM. 2020. Analysis of green supply chain considering green degree and sales effort with uncertain demand. J Intell Fuzzy Syst. 38(4):4247–4264. English. doi:10.3233/JIFS-190783.
  • Golmohammadi A, Hassini E. 2019. Capacity, pricing and production under supply and demand uncertainties with an application in agriculture. Eur J Oper Res. 275(3):1037–1049. doi:10.1016/j.ejor.2018.12.027.
  • Govindan K, Fattahi M, Keyvanshokooh E. 2017. Supply chain network design under uncertainty: a comprehensive review and future research directions. Eur J Oper Res. 263(1):108–141. doi:10.1016/j.ejor.2017.04.009.
  • Guan G, Jiang Z, Gong Y, Huang Z, Jamalnia A. 2021. A bibliometric review of two decades’ research on closed-loop supply chain: 2001–2020. Ieee Access. 9:3679–3695. doi:10.1109/ACCESS.2020.3047434.
  • Haeri SAS, Rezaei J. 2019. A grey-based green supplier selection model for uncertain environments. J Clean Prod. 221:768–784. doi:10.1016/j.jclepro.2019.02.193.
  • Hasani A. 2021. Resilience cloud-based global supply chain network design under uncertainty: resource-based approach. Comput Ind Eng. 158:17. English. doi:10.1016/j.cie.2021.107382.
  • Hashemi SH, Karimi A, Tavana M. 2015. An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. Int J Prod Econ. 159:178–191. doi:10.1016/j.ijpe.2014.09.027.
  • He Y, Zhang J. 2010. Random yield supply chain with a yield dependent secondary market. Eur J Oper Res. 206(1):221–230. doi:10.1016/j.ejor.2010.02.021.
  • Heydari J, Govindan K, Nasab HRE, Taleizadeh AA. 2020. Coordination by quantity flexibility contract in a two-echelon supply chain system: effect of outsourcing decisions. Int J Prod Econ. 225. doi:10.1016/j.ijpe.2019.107586.
  • Heydari J, Govindan K, Sadeghi R. 2018. Reverse supply chain coordination under stochastic remanufacturing capacity. Int J Prod Econ. 202:1–11. doi:10.1016/j.ijpe.2018.04.024.
  • Hong Z, Lee CKM, Zhang L. 2018. Procurement risk management under uncertainty: a review. Ind Manage Data Syst. 118(7):1547–1574. doi:10.1108/IMDS-10-2017-0469.
  • Islam MS, Tseng M-L, Karia N, Lee C-H. 2018. Assessing green supply chain practices in Bangladesh using fuzzy importance and performance approach. Resour Conserv Recycl. 131:134–145. doi:10.1016/j.resconrec.2017.12.015.
  • Jabbarzadeh A, Haughton M, Pourmehdi F. 2019. A robust optimization model for efficient and green supply chain planning with postponement strategy. Int J Prod Econ. 214:266–283. doi:10.1016/j.ijpe.2018.06.013.
  • Jung SH, Feng T. 2020. Government subsidies for green technology development under uncertainty. Eur J Oper Res. 286(2):726–739. doi:10.1016/j.ejor.2020.03.047.
  • Kazemi N, Modak NM, Govindan K. 2019. A review of reverse logistics and closed loop supply chain management studies published in IJPR: a bibliometric and content analysis. Int J Prod Res. 57(15–16):4937–4960. doi:10.1080/00207543.2018.1471244.
  • Kuei C-H, Madu CN, Chow WS, Chen Y. 2015. Determinants and associated performance improvement of green supply chain management in China. J Clean Prod. 95:163–173. doi:10.1016/j.jclepro.2015.02.030.
  • Kusukawa E, Alozawa S. 2015. Optimal operation for green supply chain with quality of recyclable parts and contract for recycling activity. Ind Eng Manage Syst Int J. 14(3):248–274.
  • Laari S, Toyli J, Ojala L. 2018. The effect of a competitive strategy and green supply chain management on the financial and environmental performance of logistics service providers. Bus Strategy Environ. 27(7):872–883. doi:10.1002/bse.2038.
  • Li J-C, Y-w Z, Huang W. 2017. Production and procurement strategies for seasonal product supply chain under yield uncertainty with commitment-option contracts. Int J Prod Econ. 183:208–222. doi:10.1016/j.ijpe.2016.10.019.
  • Lo SM. 2014. Effects of supply chain position on the motivation and practices of firms going green. Int J Oper Prod Manage. 34(1):93–114. doi:10.1108/IJOPM-04-2012-0133.
  • Ma Y. 2015. Uncertainty and investment: evidence from the Australian mining industry. Resour Policy. 46:191–201. doi:10.1016/j.resourpol.2015.10.001.
  • Malviya RK, Kant R, Gupta AD. 2018. Evaluation and selection of sustainable strategy for green supply chain management implementation. Bus Strategy Environ. 27(4):475–502. doi:10.1002/bse.2016.
  • Mardani A, Zavadskas EK, Khalifah Z, Zakuan N, Jusoh A, Nor KM, Khoshnoudi M. 2017. A review of multi-criteria decision-making applications to solve energy management problems: two decades from 1995 to 2015. Renew Sustainable Energy Rev. 71:216–256.
  • Mishra AR, Rani P, Pardasani KR, Mardani A. 2019. A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures. J Clean Prod. 238. doi:10.1016/j.jclepro.2019.117901.
  • Mohtashami Z, Aghsami A, Jolai F. 2020. A green closed loop supply chain design using queuing system for reducing environmental impact and energy consumption. J Clean Prod. 242. doi:10.1016/j.jclepro.2019.118452.
  • Nguyen PH, Wang KJ. 2019. Strategic capacity portfolio planning under demand uncertainty and technological change. Flex Serv Manuf J. 31(4):926–944. doi:10.1007/s10696-019-09335-w.
  • Ni J, Zhao J, Chu LK. 2020. Supply contracting and process innovation in a dynamic supply chain with information asymmetry. Eur J Oper Res. 288(2):552–562. doi:10.1016/j.ejor.2020.06.008.
  • Noh J, Kim JS. 2019. Cooperative green supply chain management with greenhouse gas emissions and fuzzy demand. J Clean Prod. 208:1421–1435. doi:10.1016/j.jclepro.2018.10.124.
  • Patel AB, Desai TN. 2019. A systematic review and meta-analysis of recent developments in sustainable supply chain management. Int J Logist-Res Appl. 22(4):349–370. doi:10.1080/13675567.2018.1534946.
  • Peng H, Pang T and Cong J. 2018. Coordination contracts for a supply chain with yield uncertainty and low-carbon preference. Journal of Cleaner Production, 205: 291–302. doi: 10.1016/j.jclepro.2018.09.038
  • Peng H, Shen N, Liao HL, Xue HQ, Wang QW. 2020. Uncertainty factors, methods, and solutions of closed-loop supply chain - A review for current situation and future prospects. J Clean Prod. 254. doi:10.1016/j.jclepro.2020.120032.
  • Pishvaee M, Razmi J and Torabi S. 2014. An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transportation Research Part E: Logistics and Transportation Review, 67: 14–38. doi: 10.1016/j.tre.2014.04.001
  • Price D D S. 1965. Networks of scientific papers. Science. 149:3683. doi:10.1126/science.149.3683.510.
  • Qin J, Liu X, Pedrycz W. 2017. An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur J Oper Res. 258(2):626–638. doi:10.1016/j.ejor.2016.09.059.
  • Ren H, Zhou WJ, Guo Y, Huang LZ, Liu YP, Yu YD, Hong LY, Ma TJ. 2020a. A GIS-based green supply chain model for assessing the effects of carbon price uncertainty on plastic recycling. Int J Prod Res. 58(6):1705–1723. doi:10.1080/00207543.2019.1693656.
  • Ren X, Huang H, Feng S, Liang GQ. 2020b. An improved variable neighborhood search for bi-objective mixed-energy fleet vehicle routing problem. J Clean Prod. 275. doi:10.1016/j.jclepro.2020.124155.
  • Rezaee A, Dehghanian F, Fahimnia B, Beamon B. 2017. Green supply chain network design with stochastic demand and carbon price. Ann Oper Res. 250(2):463–485. doi:10.1007/s10479-015-1936-z.
  • Sang S. 2017. Decentralized channel decisions of green supply chain in a fuzzy decision making environment. Int J Comput Intell Syst. 10(1):986–1001. doi:10.2991/ijcis.2017.10.1.66.
  • Sangwal K. 2011. On the growth of citations of publication output of individual authors. J Informetr. 5(4):554–564. doi:10.1016/j.joi.2011.04.007.
  • Sarkis J, Zhu Q, K-h L. 2011. An organizational theoretic review of green supply chain management literature. Int J Prod Econ. 130(1):1–15. doi:10.1016/j.ijpe.2010.11.010.
  • Saxena LK, Jain PK, Sharma AK. 2018. A fuzzy goal programme with carbon tax policy for Brownfield Tyre remanufacturing strategic supply chain planning. J Clean Prod. 198:737–753. doi:10.1016/j.jclepro.2018.07.005.
  • Sazvar Z, Smjm A-E-H, Baboli A, Jokar MRA. 2014. A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products. Int J Prod Econ. 150:140–154. doi:10.1016/j.ijpe.2013.12.023.
  • Sharma N, Sahay BS, Shankar R, Sarma PRS. 2017. Supply chain agility: review, classification and synthesis. Int J Logist-Res Appl. 20(6):532–559. doi:10.1080/13675567.2017.1335296.
  • Shekarian M, Parast MM. 2021. An integrative approach to supply chain disruption risk and resilience management: a literature review. Int J Logist-Res Appl. 24(5):427–455. doi:10.1080/13675567.2020.1763935.
  • Shen B, Liu SY, Zhang T, Choi TM. 2019. Optimal advertising and pricing for new green products in the circular economy. J Clean Prod. 233:314–327. doi:10.1016/j.jclepro.2019.06.022.
  • Simangunsong E, Hendry LC, Stevenson M. 2012. Supply-chain uncertainty: a review and theoretical foundation for future research. Int J Prod Res. 50(16):4493–4523. doi:10.1080/00207543.2011.613864.
  • Sinha AK, Anand A. 2017. Towards fuzzy preference relationship based on decision making approach to access the performance of suppliers in environmental conscious manufacturing domain. Comput Ind Eng. 105:39–54. doi:10.1016/j.cie.2016.12.033.
  • Talaei M, Moghaddam BF, Pishvaee MS, Bozorgi-Amiri A, Gholamnejad S. 2016. A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. J Clean Prod. 113:662–673. doi:10.1016/j.jclepro.2015.10.074.
  • Tang SY, Kouvelis P. 2014. Pay-back-revenue-sharing contract in coordinating supply chains with random yield. Prod Oper Manage. 23(12):2089–2102. doi:10.1111/poms.12240.
  • Tavana M, Tohidi H, Alimohammadi M, Lesansalmasi R. 2021. A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty. Environ Sci Pollut Res. 28(36):50636–50648. doi:10.1007/s11356-021-13815-8.
  • Tseng M-L, Lim M, Wu K-J, Zhou L, Bui DTD. 2018. A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis. Resour Conserv Recycl. 128:122–133. doi:10.1016/j.resconrec.2017.01.007.
  • Wade L. 2019. which countries have the strictest environmental laws?; [accessed 2021 Mar 15]. https://www.thelawyerportal.com/blog/which-countries-have-the-strictest-environmental-laws/.
  • Waltho C, Elhedhli S, Gzara F. 2019. Green supply chain network design: a review focused on policy adoption and emission quantification. Int J Prod Econ. 208:305–318. doi:10.1016/j.ijpe.2018.12.003.
  • Wang MK, Wu J, Kafa N, Klibi W. 2020. Carbon emission-compliance green location-inventory problem with demand and carbon price uncertainties. Transp Res Part E Logist Transp Rev. 142. doi:10.1016/j.tre.2020.102038.
  • Wu K-J, Liao C-J, Tseng M-L, Chiu ASF. 2015. Exploring decisive factors in green supply chain practices under uncertainty. Int J Prod Econ. 159:147–157. doi:10.1016/j.ijpe.2014.09.030.
  • Wu Z and Pagell M. 2011. Balancing priorities: Decision-making in sustainable supply chain management. Journal of Operations Management, 29(6): 577–590. doi: 10.1016/j.jom.2010.10.001
  • Xu XY, Xu XP, He P. 2016. Joint production and pricing decisions for multiple products with cap-and-trade and carbon tax regulations. J Clean Prod. 112:4093–4106. doi:10.1016/j.jclepro.2015.08.081.
  • Yang KJJ, Liu TZ, Ang S. 2020. Cooperation and coordination in green supply chain with R&D uncertainty. J Oper Res Soc. doi:10.1080/01605682.01602020.01848359
  • Yin Z, Ma S. 2015. Incentives to improve the service level in a random yield supply chain: the role of bonus contracts. Eur J Oper Res. 244(3):778–791. doi:10.1016/j.ejor.2015.02.006.
  • Yue T, Liu H, Long R, Chen H, Gan X, Liu J. 2020. Research trends and hotspots related to global carbon footprint based on bibliometric analysis: 2007–2018. Environ Sci Pollut Res. 27(15):17671–17691. doi:10.1007/s11356-020-08158-9.
  • Zhang M, Tse YK, Dai J, Chan HK. 2019. Examining green supply chain management and financial performance: roles of social control and environmental dynamism. IEEE Trans Eng Manage. 66(1):20–34. doi:10.1109/TEM.2017.2752006.
  • Zhou XY, Wei XY, Lin J, Tian X, Lev B, Wang SY. 2021. Supply chain management under carbon taxes: a review and bibliometric analysis. Omega-Int J Manage Sci. 98. doi:10.1016/j.omega.2020.102295.
  • Zhu Q, Sarkis J, K-h L. 2007. Green supply chain management: pressures, practices and performance within the Chinese automobile industry. J Clean Prod. 15(11–12):1041–1052. doi:10.1016/j.jclepro.2006.05.021.
  • Zimmer K, Froehling M, Schultmann F. 2016. Sustainable supplier management - a review of models supporting sustainable supplier selection, monitoring and development. Int J Prod Res. 54(5):1412–1442. doi:10.1080/00207543.2015.1079340.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.