Abstract
In response to the problems of high transportation costs, high product losses, and low customer satisfaction in the distribution process of community group buying cold and fresh products, a multi-objective distribution path optimization model was constructed to minimize the total distribution cost and maximize customer satisfaction, including the use cost of refrigerated trucks, cargo damage cost, carbon emission cost, and time window cost. The model was solved using a non dominated sorting genetic algorithm with elite strategy (Elitist Non-dominated Sorting Genetic Algorithm, NSGA-II), and compare and analyze the solution results with traditional multi-objective genetic algorithms. The simulation results of the example validate the effectiveness of the model and algorithm proposed in this paper, effectively reducing the total delivery cost and improving customer satisfaction.
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References
Zhou X, Jiang T, He C, Wang L, Lv Y (2022 [2023]) Green vehicle routing model and its solution algorithm in cold-chain logistics distribution. Chin J Manage Sci 1–11
Li Q, Jiang L, Liang C (2021) Multi-objective cold chain distribution optimization based on fuzzy time window. Comput Eng Appl 57(23):255–262
Gao H, Zhang Y, Zhang S(2023) Research on cold chain logistics distribution of perishable products considering timeliness and quality customer satisfaction. Control Decis 1–10
Du C, Li Y (2020) Research on cold chain distribution routing problem based on customer satisfaction and minimum loss. Ind Eng Manage 25(6):163–171
Ma C, Cheng Y, Haibo M (2022) A route optimization method for cold chain logistics vehicles considering road conditions, satisfaction of deliverymen and customers. J Transp Inf Saf 40(5):156–168
Zhang Y, Wang Y (2022) Optimization of fresh and cold chain logistics distribution path based on optimizing objective function. Comput Simul 39(11):184–188
**ao Y, Zhao Q, Kaku I, et al (2012) Development of a fuel consumption optimization model for the capacitated vehicle routing problem. Comput Oper Res 39(7):1419–1431
Kang K, Han J, Pu W, Ma Y (2019) Optimization research on cold chain distribution routes considering carbon emissions for fresh agricultural products. Comput Eng Appl 55(2):259–265
Fang W, Ai S, Wang Q, Fan J (2019) Research on cold chain logistics distribution path optimization based on hybrid ant colony algorithm. Chin J Manage Sci 27(11):107–115
Alkaabneh F, Diabat A, Gao HO (2019) Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs. Comput Oper Res (7):009
Kuo Y (2010) Using simulated annealing to minimize fuel consumption for the time dependent vehicle routing problem. Comput Ind Eng 59(1):157–165
Jabali O, Van Woensel T, de Kok AG (2012) Analysis of travel times and CO2 emissions in time-dependent vehicle routing. Prod Oper Manage (1):338
Ning T, Gou T, Liu X (2022) Simulation on cold chain distribution path of fresh agricultural products under low-carbon constraints. J Syst Simul 34(4):797–805
Li L, Fan T (2015) Comparison and analysis on pricing policies for fresh agricultural produce supply chain with dominant retailer. Chin J Manage Sci 23(12):113–123
Wang C (2022) Research on multi-objective Optimization method for vehicle routing problem with time windows. Donghua University, Shang Hai
Chen G, ** C (2023) Research on improved ant colony algorithm for multi-objective vehicle path optimization. Mach Des Manuf 1–7
Chen T, Kang S (2022) Study on distribution path optimization of fresh products in community group purchase considering time window and freshness loss. Logistics Sci-Tech 45(11):22–26
Luo W (2020) Research on time-dependent and multi-objective vehicle routing problem with time windows based on non-dominated sorting genetic algorithm. Shandong University, Ji Nan
**ao Y, Konak A (2016) The heterogeneous green vehicle routing and scheduling problem with time varying traffic congestion. Transp Res Part E 88:146–166
Alinaghian M, Naderipour M (2016) A novel comprehensive macroscopic model for time-dependent vehicle routing problem with multi alternative graph to reduce fuel consumption: a case study. Comput Ind Eng 99:210–222
Li X, Gao L (2016) An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem Journal. Int J Prod Econ 174:93–110
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Huikun, L., Ruohong, X. (2024). Optimization of Delivery Path for Community Group Buying Cold and Fresh Products Under Multi-Objective Conditions. In: Li, X., Xu, X. (eds) Proceedings of the Eleventh International Forum on Decision Sciences. ITLBD&DS 2023. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-99-9963-7_11
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DOI: https://doi.org/10.1007/978-981-99-9963-7_11
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