Afrasiabi A, Tavana M, Di Caprio D (2022) An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environ Sci Pollut Res Int. https://doi.org/10.1007/s11356-021-17851-2
Aguezzoul A (2014) Third-party logistics selection problem: a literature review on criteria and methods. Omega 49:69–78. https://doi.org/10.1016/j.omega.2014.05.009
Aydın S, Yörükoğlu M, Kabak M (2021) Fourth party logistics firm assessment using a novel neutrosophic MCDM. J Intell Fuzzy Syst 42(1):529–539. https://doi.org/10.3233/jifs-219209
Bandeira RAM, D’Agosto MA, Ribeiro SK, Bandeira APF, Goes GV (2018) A fuzzy multi-criteria model for evaluating sustainable urban freight transportation operations. J Clean Prod 184:727–739. https://doi.org/10.1016/j.jclepro.2018.02.234
Büyüközkan G, Feyzioğlu O, Göçer F (2018) Selection of sustainable urban transportation alternatives using an integrated intuitionistic fuzzy Choquet integral approach. Transp Res Part d: Transp Environ 58:186–207. https://doi.org/10.1016/j.trd.2017.12.005
Cabrerizo FJ, Moreno JM, Pérez IJ, Herrera-Viedma E (2009) Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks. Soft Comput 14(5):451–463. https://doi.org/10.1007/s00500-009-0453-x
Celik E, Erdogan M, Gumus AT (2016) An extended fuzzy TOPSIS–GRA method based on different separation measures for green logistics service provider selection. Int J Environ Sci Technol 13(5):1377–1392. https://doi.org/10.1007/s13762-016-0977-4
Chang Y-W (2013) Performance measurement of the fourth party logistics providers. iBusiness 05(02):7–10. https://doi.org/10.4236/ib.2013.52B002
Chunguang Q, Xiaojuan C, Kexi W, Pan P (2008) Research on green logistics and sustainable development. In 2008 International Conference on Information Management. Innov Manag Ind Eng 3:162–165. https://doi.org/10.1109/iciii.2008.114
Chuu S-J (2009) Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology. Fuzzy Sets Syst 160(5):586–602. https://doi.org/10.1016/j.fss.2008.07.015
Evangelista P, Santoro L, Thomas A (2018) Environmental sustainability in third-party logistics service providers: a systematic literature review from 2000–2016. Sustainability 10(5):1627. https://doi.org/10.3390/su10051627
Gattorna J (1998) Strategic supply chain alignment: best practice in supply chain management. Gower Publishing Ltd, Hampshire
Gitinavard H, Ghaderi H, Pishvaee MS (2017) Green supplier evaluation in manufacturing systems: a novel interval-valued hesitant fuzzy group outranking approach. Soft Comput 22(19):6441–6460. https://doi.org/10.1007/s00500-017-2697-1
Göl H, Çatay B (2007) Third-party logistics provider selection: insights from a Turkish automotive company. Supply Chain Manag: Int J 12(6):379–384. https://doi.org/10.1108/13598540710826290
Gören HG (2018) A decision framework for sustainable supplier selection and order allocation with lost sales. J Clean Prod 183:1156–1169. https://doi.org/10.1016/j.jclepro.2018.02.211
Guo X, Wang D (2022) Analysis of the spatial relevance and influencing factors of carbon emissions in the logistics industry from China. Environ Sci Pollut Res Int 29(2):2672–2684. https://doi.org/10.1007/s11356-021-15742-0
Herrera F, Herrera-Viedma E, Verdegay JL (1995) A sequential selection process in group decision making with a linguistic assessment approach. Inf Sci 85(4):223–239
Huang M, Dong L, Kuang H, Jiang Z-Z, Lee LH, Wang X (2021) Supply chain network design considering customer psychological behavior-a 4PL perspective. Comput Ind Eng 159:107484. https://doi.org/10.1016/j.cie.2021.107484
Huang M, Qian X, Fang S-C, Wang X (2016a) Winner determination for risk aversion buyers in multi-attribute reverse auction. Omega 59:184–200. https://doi.org/10.1016/j.omega.2015.06.007
Huang M, Ren L, Lee LH, Wang X, Kuang H, Shi H (2016b) Model and algorithm for 4PLRP with uncertain delivery time. Inf Sci 330:211–225. https://doi.org/10.1016/j.ins.2015.10.030
Huang M, Tu J, Chao X, Jin D (2019) Quality risk in logistics outsourcing: a fourth party logistics perspective. Eur J Oper Res 276(3):855–879. https://doi.org/10.1016/j.ejor.2019.01.049
Huang Q, Ling J (2021) Measuring embodied carbon dioxide of the logistics industry in China: based on industry stripping method and input-output model. Environ Sci Pollut Res Int 28(38):52780–52797. https://doi.org/10.1007/s11356-021-16190-6
IEA (2017) The future of trucks: implications for energy and the environment, 2017th ed. IEA: Paris, France: 1–167
IEA (2018) CO2 Emissions from Fuel Combustion Highlights, 2018th ed. IEA: Paris, France: 1–336.
Jharkharia S, Shankar R (2007) Selection of logistics service provider: an analytic network process (ANP) approach. Omega 35(3):274–289. https://doi.org/10.1016/j.omega.2005.06.005
Jiang T, Yu Y, Yang B (2022) Understanding the carbon emissions status and emissions reduction effect of China’s transportation industry: dual perspectives of the early and late stages of the economic “new normal.” Environ Sci Pollut Res Int 29(19):28661–28674. https://doi.org/10.1007/s11356-021-18449-4
Lam JSL, Dai J (2015) Environmental sustainability of logistics service provider: an ANP-QFD approach. Int J Logist Manag 26(2):313–333. https://doi.org/10.1108/ijlm-08-2013-0088
Li Y-L, Ying C-S, Chin K-S, Yang H-T, Xu J (2018) Third-party reverse logistics provider selection approach based on hybrid-information MCDM and cumulative prospect theory. J Clean Prod 195:573–584. https://doi.org/10.1016/j.jclepro.2018.05.213
Liang R, Wang J, Huang M, Jiang Z-Z (2020) Truthful auctions for e-market logistics services procurement with quantity discounts. Trans Res B: Methodol 133:165–180. https://doi.org/10.1016/j.trb.2020.01.002
Liu P, Gao H, Ma J (2019) Novel green supplier selection method by combining quality function deployment with partitioned Bonferroni mean operator in interval type-2 fuzzy environment. Inf Sci 490:292–316. https://doi.org/10.1016/j.ins.2019.03.079
Liu Q, Zhang C, Zhu K, Rao Y (2014) Novel multi-objective resource allocation and activity scheduling for fourth party logistics. Comput Oper Res 44:42–51. https://doi.org/10.1016/j.cor.2013.10.010
Lu F, Feng W, Gao M, Bi H, Wang S, Mauriello F (2020) The fourth-party logistics routing problem using ant colony system-improved Grey Wolf Optimization. J Adv Transp 2020:1–15. https://doi.org/10.1155/2020/8831746
Lu M, Xie R, Chen P, Zou Y, Tang J (2019) Green transportation and logistics performance: an improved composite index. Sustainability 11(10):2976. https://doi.org/10.3390/su11102976
Manners-Bell J, Lyon K (2015) The future of logistics: what does the future hold for freight forwarders. Kewill: London, UK
Marasco A (2008) Third-party logistics: a literature review. Int J Prod Econ 113(1):127–147. https://doi.org/10.1016/j.ijpe.2007.05.017
Mehmann J, Teuteberg F (2016) Process reengineering by using the 4PL approach. Bus Process Manag J 22(4):879–902. https://doi.org/10.1108/bpmj-12-2014-0119
Paul A, Moktadir MA, Paul SK (2019) An innovative decision-making framework for evaluating transportation service providers based on sustainable criteria. Int J Prod Res 58(24):7334–7352. https://doi.org/10.1080/00207543.2019.1652779
Qian X, Fang S-C, Yin M, Huang M, Li X (2021a) Selecting green third party logistics providers for a loss-averse fourth party logistics provider in a multiattribute reverse auction. Inf Sci 548:357–377. https://doi.org/10.1016/j.ins.2020.09.011
Qian X, Yin M, Chan FTS, Zhang J, Huang M (2021b) Sustainable–responsive winner determination for transportation service procurement auctions under accidental disruptions. J Clean Prod 320:128833. https://doi.org/10.1016/j.jclepro.2021.128833
Rekik M, Mellouli S (2012) Reputation-based winner determination problem for combinatorial transportation procurement auctions. J Oper Res Soc 63(10):1400–1409. https://doi.org/10.1057/jors.2011.108
Remli N, Amrouss A, El Hallaoui I, Rekik M (2019) A robust optimization approach for the winner determination problem with uncertainty on shipment volumes and carriers’ capacity. Trans Res B: Methodol 123:127–148. https://doi.org/10.1016/j.trb.2019.03.017
Remli N, Rekik M (2013) A robust winner determination problem for combinatorial transportation auctions under uncertain shipment volumes. Trans ResC: Emerg Technol 35:204–217. https://doi.org/10.1016/j.trc.2013.07.006
Singh RK, Benyoucef L (2012) Fuzzy Logic and Interval Arithmetic-Based TOPSIS Method for Multicriteria Reverse Auctions. Serv Sci 4(2):101–117. https://doi.org/10.1287/serv.1120.0009
Tao Y, Chew EP, Lee LH, Shi Y (2017) A column generation approach for the route planning problem in fourth party logistics. J Oper Res Soc 68(2):165–181. https://doi.org/10.1057/s41274-016-0024-3
Tavana M, Shaabani A, Santos-Arteaga FJ, Valaei N (2021) An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics. Environ Sci Pollut Res Int 28(38):53953–53982. https://doi.org/10.1007/s11356-021-14302-w
Yao J (2010) Decision optimization analysis on supply chain resource integration in fourth party logistics. J Manuf Syst 29(4):121–129. https://doi.org/10.1016/j.jmsy.2010.12.002
Yin M, Huang M, Wang X, Lee L H (2022) Fourth-party logistics network design under uncertainty environment. Comput Ind Eng, 167:108002. https://doi.org/10.1016/j.cie.2022.108002
Zhang B, Yao T, Friesz TL, Sun Y (2015) A tractable two-stage robust winner determination model for truckload service procurement via combinatorial auctions. Trans ResB: Methodol 78:16–31. https://doi.org/10.1016/j.trb.2015.03.019