Collaborative site selection study for cold chain distribution centers under low carbon policies

Yaxi Yang; Yonghui Feng

doi:10.54097/jceim.v10i1.5767

Authors

Yaxi Yang
Yonghui Feng

DOI:

https://doi.org/10.54097/jceim.v10i1.5767

Keywords:

Low carbon, Cold chain, Site selection, Coordination

Abstract

In order to solve the problem of cross-layout of cold chain logistics network and optimize the resource allocation of small and medium-sized cold chain logistics enterprises, based on the concept of low-carbon economic development and with the aim of minimizing the total cost, this paper constructs a cold chain distribution center location model including refrigeration cost and carbon emission cost from the microscopic perspective of enterprises, and selects two small and medium-sized cold chain logistics enterprises for simulation, and the simulation results show that the model can achieve the effect of saving operation cost, goods flow cost, carbon emission cost and refrigeration cost.

References

Chen L, Notteboom T. Determinants for assigning value-added logistics services to logistics centers within a supply chain configuration[J]. Journal of International Logistics and Trade, 2012, 10(1): 3-41.

Zou Shiao,Zhang Xiaoning. Site selection model of cold chain logistics distribution center with on-time arrival constraints[J]. Statistics and decision making,2020,36(12):185-188.

Xing Xiaohu,Luo Wenping. Research on the site selection of cold chain logistics distribution center based on the cost of cargo loss [J]. Journal of Xi'an University of Electronic Science and Technology (Social Science Edition),2016,26(06):85-91.

Chen Shutong, Wang Changjun, Liu Yong. Simulation of multi-product cold chain logistics distribution center location selection and traffic distribution considering time efficiency and cargo loss[J]. Journal of Donghua University (Natural Science Edition),2017,43(03):436-442

Gan Weihua,Liu Zheng,Su Lei. Optimization of distribution center location selection for O2O retail enterprises considering carbon emissions and time constraints[J]. Ecological Economics,2020,36(11):32-37.

Tang Xifeng,He Jie,Zhang Hao. A two-stage site-path problem and its algorithm considering carbon emissions [J/OL]. Journal of Southwest Jiaotong University:1-7 [2023-01-05].

Lin Dansheng, Zhang Zhiyong, Wang Jiaxin, Liang Xi, Shi Yongqiang. Low-carbon logistics distribution center location selection under demand uncertainty[J]. Control and Decision,2020,35(02):492-500.

Martí J M C, Tancrez J S, Seifert R W. Carbon footprint and responsiveness trade-offs in supply chain network design[J]. International Journal of Production Economics, 2015, 166: 129-142.

Yang Jun, Lu Wei. Research on the location and distribution of multi-capacity class under low-carbon policy[J]. China Management Science,2014,22(05):51-60.

Abdallah T, Farhat A, Diabat A, et al. Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment[J]. Applied Mathematical Modelling, 2012, 36(9): 4271-4285.

Zakeri A, Dehghanian F, Fahimnia B, et al. Carbon pricing versus emissions trading: A supply chain planning perspective[J]. International Journal of Production Economics, 2015, 164: 197-205.

Ge Xianlong,Zhang Xiaoxiao,Wang Bo. Research on two-level fresh food distribution path optimization considering front-end warehouse collaboration[J]. Computer engineering and applications,2022,58(15):330-340.

Ding S.D.,Yao Z.G.,Cheng Gao.Reuniting LINGO language with 0-1 mixed integer planning site selection model[J]. Logistics Engineering and Management,2009,31(10):72-75.