Optimisation of multi-level logistics network for agricultural products under community group buying model

References

• Anand, K. S., & Aron, R. (2003). Group buying on the Web: A comparison of price-discovery mechanisms. Management Science, 49(11), 1546–1562. https://doi.org/10.1287/mnsc.49.11.1546.20582
   Web of Science ®Google Scholar
• Boccia, M., Crainic, T. G., Sforza, A., & Sterle, C. (2018). Multi-commodity location-routing: Flow intercepting formulation and branch-and-cut algorithm. Computers & Operations Research, 89, 94–112. https://doi.org/10.1016/j.cor.2017.08.013
   Web of Science ®Google Scholar
• Boudahri, F., Aggounemtalaa, W., Bennekrouf, M., & Sari, Z.. (2013). Application of a clustering based location-routing model to a real agri-food supply chain redesign. In N. Nguyen, B. Trawiński, R. Katarzyniak, & G. S. Jo (Eds.), Advanced methods for computational collective intelligence. Studies in computational intelligence (Vol. 457). Springer. https://doi.org/10.1007/978-3-642-34300-1_31
   Google Scholar
• Cao, Y. L. (2021). Research on fresh food logistics network optimization considering direct supply from origin in the context of community group buying (Master's thesis, Beijing Jiaotong University).
   Google Scholar
• Correia, I., Melo, T., & Saldanha-Da-Gama, F. (2013). Comparing classical performance measures for a multi-period, two-echelon supply chain network design problem with sizing decisions. Computers & Industrial Engineering, 64(1), 366–380. https://doi.org/10.1016/j.cie.2012.11.001
   Web of Science ®Google Scholar
• Culnan, M. J., Mchugh, P. J., & Zubillaga, J. I. (2010). How large u.s. Companies can use twitter and other social media to gain business value. Mis Quarterly Executive, 9(4), 243–259. https://www.researchgate.net/publication/279893388.
   Web of Science ®Google Scholar
• Fujiwara, O., & Perera, U. (1993). Eoq models for continuously deteriorating products using linear and exponential penalty costs. European Journal of Operational Research, 70(1), 104–114. https://doi.org/10.1016/0377-2217(93)90235-F
   Web of Science ®Google Scholar
• Furuya, T., & Okumura, M. (2023). Inter-city small-lot logistics network model considering departure and arrival times. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 78(5), 597–604. https://doi.org/10.2208/jscejipm.78.5_I_597
   Google Scholar
• Hiassat, A., Diabat, A., & Rahwan, I. (2017). A genetic algorithm approach for location-inventory-routing problem with perishable products. Journal of Manufacturing Systems, 42, 93–103. https://doi.org/10.1016/j.jmsy.2016.10.004
   Web of Science ®Google Scholar
• Huang, X. (2019). Research and analysis of community group buying model based on mobile platform. Modern Marketing (Lower Journal), 01, 101. https://doi.org/10.3969/j.issn.1009-2994.2019.01.080
   Google Scholar
• Jarboui, B., Derbel, H., Hanafi, S., & Mladenovic, N. (2013). Variable neighborhood search for location routing. Computers & Operations Research, 40(1), 47–57. https://doi.org/10.1016/j.cor.2012.05.009
   Web of Science ®Google Scholar
• Kauffman, R. J., & Wang, B. (2001). New buyers’ arrival under dynamic pricing market microstructure: The case of group-buying discounts on the internet. Journal of Management Information Systems, 18(2), 157–188. https://doi.org/10.1080/07421222.2001.11045687
   Web of Science ®Google Scholar
• Khalili-Damghani, K., Abtahi, A. R., & Ghasemi, A. (2015). A new bi-objective location-routing problem for distribution of perishable products: Evolutionary computation approach. Journal of Mathematical Modelling and Algorithms in Operations Research, 14(3), 287–312. https://doi.org/10.1007/s10852-015-9274-3
   Google Scholar
• Laidler, K. J. (1984). The development of the arrhenius equation. Journal of Chemical Education, 61(6), 494–498. https://doi.org/10.1021/ed061p494
   Web of Science ®Google Scholar
• Laporte, G., Louveaux, F., & Mercure, H. (1989). Models and exact solutions for a class of stochastic location-routing problems. European Journal of Operational Research, 39(1), 71–78. https://doi.org/10.1016/0377-2217(89)90354-8
   Web of Science ®Google Scholar
• Li, P. (2020). Research on the construction of food cold chain logistics network for large sports events (Doctoral dissertation, Beijing Jiaotong University).
   Google Scholar
• Liu, T. Y. (2019). Research on the optimization of community group purchase freshness third-party platform warehouse distribution model under time window constraints (Master's thesis, Zhengzhou University). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201902&filename=1019142950.nh.
   Google Scholar
• Liu, X. (2020). Collaborative optimization of fresh produce community group purchasing pricing and vehicle delivery path (Master's thesis, Kunming University of Science and Technology).
   Google Scholar
• Musavi, M. M., & Bozorgi-Amiri, A. (2017). A multi-objective sustainable hub location-scheduling problem for perishable food supply chain. Computers & Industrial Engineering, 113, 766–778. https://doi.org/10.1016/j.cie.2017.07.039
   Web of Science ®Google Scholar
• Prajapati, D., Harish, A. R., Daultani, Y., Singh, H., & Pratap, S. (2023). A clustering based routing heuristic for last-mile logistics in fresh food e-commerce. Global Business Review, 24, 7. https://doi.org/10.1177/0972150919889797
   Google Scholar
• Prins, C., Prodhon, C., & Calvo, R. W. (2006). Solving the capacitated location-routing problem by a grasp complemented by a learning process and a path relinking. 4OR, 4(3), 221–238. https://doi.org/10.1007/s10288-006-0001-9
   Google Scholar
• Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Bozorgi-Amiri, A. (2016). An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Computers & Industrial Engineering, 94, 201–215. https://doi.org/10.1016/j.cie.2016.01.014
   Web of Science ®Google Scholar
• Sahraeian, R., & Nadizadeh, A. (2013). Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands. European Journal of Operational Research, 229(1), 75–84. https://doi.org/10.1016/j.ejor.2013.02.013
   Web of Science ®Google Scholar
• Salhi, S., & Rand, G. K. (1989). The effect of ignoring routes when locating depots. European Journal of Operational Research, 39(2), 150–156. https://doi.org/10.1016/0377-2217(89)90188-4
   Web of Science ®Google Scholar
• Shiripour, S., Mahdavi-Amiri, N., & Mahdavi, I. (2016). Optimal location-multi-allocation-routing in capacitated transportation networks under population-dependent travel times. International Journal of Computer Integrated Manufacturing, 29(6), 652–676. https://doi.org/10.1080/0951192X.2015.1067910
   Web of Science ®Google Scholar
• Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of Marketing Research, 47(2), https://doi.org/10.1509/jmkr.47.2.215
   Web of Science ®Google Scholar
• Taoukisa, P. S., Koutsoumanisb, K., & Nychasb, G. J. E. (1999). Use of time-temperature integrators and predictive modelling for shelf life control of chilled fish under dynamic storage conditions. International Journal of Food Microbiology, 53(1), 21–31. https://doi.org/10.1016/S0168-1605(99)00142-7
   PubMed Web of Science ®Google Scholar
• Turan, S., Minner, S., & Hartl, R. F.. (2017). A vns approach to multi-location inventory redistribution with vehicle routing. Computers & Operations Research, 78(feb.), 526-536. https://doi.org/10.1016/j.cor.2016.02.018
   Web of Science ®Google Scholar
• Vahdani, B., Veysmoradi, D., Shekari, N., & Mousavi, S. M. (2018). Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair. Neural Computing and Applications, https://doi.org/10.1007/s00521-016-2696-7
   Web of Science ®Google Scholar
• Wang, Y., & Qiu, W. (2021). Optimization of community group purchasing distribution path considering customer satisfaction. Logistics Engineering and Management, 43((06|6)), 38–41. https://doi.org/10.3969/j.issn.1674-4993.2021.06.012
   Google Scholar
• Wu, D., Zhu, Z., Hu, D., & Mansour, R. F. (2022). Optimizing fresh logistics distribution route based on improved Ant colony algorithm. Computers, Materials & Continua, 73, 2079. https://doi.org/10.32604/cmc.2022.027794
   Web of Science ®Google Scholar
• Xue, X. L. (2011). Research on the construction of community-based online group buying platform. Electronic Commerce, 9, 19–20. https://doi.org/10.3969/j.issn.1009-6108.2011.09.009
   Google Scholar
• Yan, J. (2019). Some thoughts on the development of new retail model of community group buying. Mall Modernization, 08, 17–18. https://doi.org/10.14013/j.cnki.scxdh.2019.08.011
   Google Scholar
• Yang, H. L., Ji, Y. F., & Liu, F. F. (2010). Optimization of fresh produce logistics network node layout. Journal of Dalian Maritime University, 36(03), 47–49. https://doi.org/10.16411/j.cnki.issn1006-7736.2010.03.026
   Google Scholar
• Yi, H. Y., & Zhang, Z. Y. (2020). A study on the location of community group purchasing e-commerce distribution center based on freshness loss. Journal of Transportation Engineering and Information, 18(2), 59–67.
   Google Scholar
• Yu, J. (2016). Optimal design of fresh produce supply network from fuzzy perspective (Doctoral dissertation, Southwest Jiaotong University). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CDFDLAST2017&filename=1017021716.nh.
   Google Scholar
• Zarandi, M. H. F., Hemmati, A., Davari, S., & Turksen, I. B. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480–489. https://doi.org/10.1016/j.knosys.2012.09.007
   Web of Science ®Google Scholar
• Zhang, J., & Ding, B. (2023). Multi-objective cold chain path optimization based on customer satisfaction. Journal of Applied Mathematics and Physics, 11(6), 1806. https://doi.org/10.4236/jamp.2023.116116
   Google Scholar
• Zhang, X., Zou, B., Feng, Z., Wang, Y., & Yan, W. (2022). A review on remanufacturing reverse logistics network design and model optimization. Processes, 10(1), 84. https://doi.org/10.3390/pr10010084
   Web of Science ®Google Scholar
• Zhu, X. F. (2021). Research on fresh produce distribution under community group purchasing model (Master's thesis, Jiangnan University).
   Google Scholar
• Zhuang, X., Zhang, Y., Han, L., Jiang, J., Linyuan, H. U., & Shengnan, W. U. (2023). Two-stage stochastic programming with robust constraints for the logistics network post-disruption response strategy optimization. Frontiers of Engineering Management, 10(1), 67. https://doi.org/10.1007/s42524-022-0240-2
   Web of Science ®Google Scholar