A Review of Research on The Reliability Assessment of Fresh Product Distribution Networks Considering Product Perishability Constraint
DOI:
https://doi.org/10.54097/jzsajp09Keywords:
Fresh agricultural products, Transportation loss, Reliability assessment.Abstract
A reliable and stable distribution network is fundamental for the effective operation of fresh agricultural product logistics, and network reliability is a crucial metric for determining whether fresh agricultural product logistics can complete specified tasks promptly and smoothly. To further clarify the current research status on the reliability of fresh agricultural product distribution networks considering transportation losses, this study reviews the literature from three aspects: research on transportation losses of fresh agricultural products, reliability of stochastic distribution networks, and methods for assessing the reliability of stochastic distribution networks considering transportation losses. The studies indicate that few documents introduce both quantity deterioration and quality deterioration simultaneously into network reliability research, which tends to overlook the market demand under reduced freshness, and seldom considers the dynamic changes of deterioration factors in complex environments.
Downloads
References
Liu Chao, Chen Weidong,Zhou Qian, et al. Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain[J].European Journal of Operational Research, 2021,293(2):511-528.
Ji Yingfeng, Yan Fangyuan, Yang Hualong. Optimization of Cold Chain Logistics Distribution Center Location Considering Three-Level Cargo Damage Costs [J]. Practices and Understanding in Mathematics, 2014, 44(05): 57-63.
Chen Shutong, Wang Changjun, Liu Yong. Simulation of Location Selection and Flow Distribution of Multi-Product Cold Chain Logistics Distribution Centers Considering Timeliness and Cargo Damage [J]. Journal of Donghua University (Natural Science), 2017, 43(03): 36-442.
Luo Liang, Chen Huixuan, Wu Zhang, et al. Cold Chain Distribution of Fresh Agricultural Products Under the Dual Influence of Traffic and Weather Conditions: A VRPTW Study [J]. Systems Engineering, 2022, 40(06): 67-75.
Zhao Zhong, Wang Shuyun, Li Bo. Perishable Goods Ordering Model Based on Two-Level Credit Payment under Time-Varying Demand [J]. Journal of Systems Management, 2016, 25(01): 83-89.
Ma X, Wang S, Islam S M, et al. Coordinating a Three-echelon Fresh Agricultural Products Supply Chain Considering Fresh-ness-keeping Effort with Asymmetric Information[J]. Applied Mathe-matical Modelling, 2019,(67).
ZHENG Q, IEROMONACHOU P, FAN T, et al. Supply chain contracting coordination for fresh products with fresh-keeping effort[J]. Industrial Management & Data Systems ,2017,117(3): 538-559.
Chen Jun, Cao Qunhui. Decision Making on Freshness Investment in Agricultural Product Supply Chains under Different Settlement Methods [J]. Journal of Systems Engineering, 2018, 33(03): 378-386.
Zhang Jian, Fu Shaochuan. Research on the Location of Fresh Food Distribution Centers Influenced by Freshness on Demand [C]. Proceedings of the 13th Annual Conference on Management Science in China. 2011: 479-482.
Cao Yu, Wu Kan, Xiong Shouyao. Study on Freshness Preservation Effort Investment and Order Pricing in Fresh Supply Chains [J]. Operations Research and Management, 2019, 28(10): 100-109.
Zhu Xiaolin, Li Min. Multi-Objective Optimization of Cold Chain Logistics Hub Network Considering Carbon Emissions [J]. Computer Applications and Software, 2021, 38(03): 256-263.
Tsu-Pang Hsieha, Chung -Yuan Dye. Optimal dynamic pricing for deteriorating items with reference price effects when inventories stimulate demand[J]. European Journal of Operational Research, 2017,262:136-150.
Wang Lei, Dan Bin. Research on Fresh Agricultural Products Supply Chain Preservation Incentives Considering Consumer Utility [J]. Journal of Management Engineering, 2015, 29(01): 200-206.
Wu Daqing, Liu Yanli. Coordination Study of Aquatic Product Supply Chains Considering Transportation Time and Consumer Preferences [J]. Operations Research and Management, 2022, 31(09): 107-112.
Chen J, Dong M, Xu L. A perishable product shipment consolidation model considering freshness-keeping effort[J]. Transportation Research Part E Logistics and Transportation Review, 2018, 115(07):56-86
Lü Yang. Decision-Making Research in Fresh E-commerce Supply Chain Considering Dual Losses [D]. Harbin University of Commerce, 2022.
Wang Lei, Dan Bin. Research on Fresh Agricultural Product Preservation Strategies Considering Quality and Quantity Loss Control [J]. Chinese Management Science, 2023, 31(08): 100-110.
Wang Shuyun, Fan Xiaoqing, Ma Xueli, Jiang Yingmei. Three-Level Cold Chain Inventory Optimization Model Considering Product Freshness and Quantity Loss [J]. Journal of Systems Management, 2020, 29(02): 409-416.
Shi Baoyang, Shi Baoli. Coordination of Fresh Product Supply Chain in Farm-Supermarket Docking Considering Effort Level and Loss [J]. Industrial Engineering and Management, 2019, 24(05): 43-48+55.
Forghani-elahabad M, Mahdavi-Amiri N. An improved algorithm for finding all upper boundary points in a stochastic-flow network[J]. Applied Mathematical Modelling, 2016, 40(4): 3221-3229.
Xu XZ, Niu YF, Song YF. Computing the reliability of a stochastic distribution network subject to budget constraint. Reliability Engineering System Safety, 2021, 216: 107947.
Xu X Z, Niu Y F, Li Q. Efficient enumeration of-minimal paths in reliability evaluation of multistate networks[J]. Complexity, 2019, 2019.
Mine H, Kawai H. Mathematics for reliability analysis[M]. Tokyo: Asakura—shoten, 1982.
Iida Y, Wakabayashi H. An approximation method of terminal reliability of a road network using partial minimal path and cut set[A]. Proceedings of the Fifth WCTR[C]. Japan: Yokohama, 1989, 367-380.
Chen A, Yang H, Lo H K, et al. A capacity related reliability for transportation networks[J]. Journal of advanced transportation, 1999, 33(2): 183-200.
Chen Na. Reliability Optimization Research of Post-Earthquake Emergency Logistics Networks under Facility Interruption Scenarios [D]. Chongqing University of Technology, 2018.
Sun Weiping, Zhou Jingli, Yu Shengsheng. A Review of Algorithms for Computing the Reliability of Random Flow Networks [J]. Computer Science, 2004(01): 25-27.
Niu Yifeng. Research on Reliability Assessment Methods for Multistate Network Systems [D]. Beijing Jiaotong University, 2017.
Niu Y F, Zhao X, Xu X Z, et al. Reliability assessment of a stochastic-flow distribution network with carbon emission constraint[J]. Reliability Engineering and System Safety, 2023, 230(2023): 108952.
Feng Guobi, Liu Gang, Wang Wei, Li Xuejun. Research on the Reliability of Agile Agricultural Product Logistics Networks [J]. Logistics Technology, 2012, 35(06): 83-88.
Yi Kuei Lin, Cheng Fu Huang, Yi Chieh Liao, et al. System reliability for a multistate intermodal logistics network with time windows[J]. International Journal of Production Research, 2016, 55(7): 1957-1969.
Qi Zeng, Xiu-Zhen Xu, Ricardo L pez-Ruiz. Assessing the Reliability of a Multistate Logistics Network under the Transportation Cost Constraint[J]. Discrete Dynamics in Nature and Society, 2016.
Xu Xiuzhen, Wu Guolin, Niu Yifeng, et al. Reliability Assessment Method for Logistics Transportation Networks Under Distance Constraints [J]. Computer Engineering and Applications, 2023, 59(21): 327-333.
Xu Xiuzhen, Wu Guolin, Zhang Yuanyuan, et al. Multistate Network Reliability Assessment Method Under Cost Constraints [J]. Computer Science, 2022, 49(S2): 868-874.
Zhu Tingting. Coal Logistics Network Optimization Based on Reliability Constraints [D]. Beijing Jiaotong University, 2013.
Ban Ya. Research on Emergency Material Layout and Scheduling Methods Under Time-Varying Semantics [D]. Wuhan University, 2018.
Bai Xiaoping, Liu Bingfang. Reliability Study of Express Delivery Systems Based on Bayesian-GO Integrated Method [J]. Industrial Engineering, 2019, 22(04): 23-30+48.
Cai Chao, Liu Yanqiu. Reliability Analysis of Logistics Service Supply Chain Systems Based on Fuzzy Bayesian Networks [J]. China Circulation Economy, 2018, 32(04): 49-58.
Yin Xiaoqing, Mo Yudi, Dong Chenchen, et al. Study on Location Selection of Urban Cold Chain Terminal Distribution Stations Considering Travel Time Reliability [J]. Transportation System Engineering and Information, 2019, 19(06): 176-183+198.
Zhao Furong. Optimization of Urban Terminal Distribution Network for Fresh Products under New Retail Context [D]. Chongqing University of Posts and Telecommunications, 2021.
Zhang Jinghan. Reliability Analysis and Optimization of Cold Chain Distribution Systems for Fresh Agricultural Products [D]. Zhengzhou University, 2019.
Lin Y K, Yeh C T, Huang C F. Reliability evaluation of a stochastic-flow distribution network with delivery spoilage [J]. Computers & Industrial Engineering, 2013, 66(2): 352-359.
Lin, Y. K., Huang, C. F., & Yeh, C. T.Network reliability with deteriorating product and production capacity through a multi-state delivery network. [J]. International Journal of Production Research, 2014,52(22): 6681–6694.
Lin,Y.K.,Yeh,C.T.,&Huang,C. A simple algorithm to evaluate supply-chain reliability for brittle commodity logistics under production and delivery constraints.[J]. Annals of Operations Research,2016, 244(1): 67–83.
Yi Kuei Lin, Cheng Fu Huang, Yi Chieh Liao, et al. Reliability of a stochastic intermodal logistics network under spoilage and time considerations[J]. Annals of Operations Research, 2019,277(1): 95-118.
Niu Yi Feng,He Can,Fu De Qiang. Reliability assessment of a multi-state distribution network under cost and spoilage considerations[J]. Annals of Operations Research,2021,309(1).
Zhang Yan. Optimization of Fresh Agricultural Products Logistics Network Based on Reliability [D]. Southwest Jiaotong University, 2009
He Yajing. Decision-Making Research on Fresh Agricultural Products Transportation Methods [D]. Chang'an University, 2018.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







