基于产品新鲜度要求的保鲜成本投资与数量集配策略联合决策研究

doi:10.16381/j.cnki.issn1003-207x.2021.02.015

中国管理科学 ›› 2021, Vol. 29 ›› Issue (2): 137-148.doi: 10.16381/j.cnki.issn1003-207x.2021.02.015

基于产品新鲜度要求的保鲜成本投资与数量集配策略联合决策研究

陈靖

上海外国语大学国际工商管理学院, 上海 200083

收稿日期:2018-08-05 修回日期:2019-11-27 出版日期:2021-02-20 发布日期:2021-03-04
通讯作者: 陈靖(1985-),女(汉族),福建厦门人,上海外国语大学国际工商管理学院,副教授,博士生导师,研究方向:生鲜品供应链决策,E-mail:Jingchen@shisu.edu.cn. E-mail:Jingchen@shisu.edu.cn
基金资助:
国家自然科学基金资助项目（71702106）；教育部人文社会科学研究一般项目（17YJC630010）；上海市浦江人才项目（17PJC087）

Joint Decisions on Fresh Investment and Shipment Consolidation under Product Freshness Requirements

CHEN Jing

School of Business and Management, Shanghai International Studies University, Shanghai 20083, China

Received:2018-08-05 Revised:2019-11-27 Online:2021-02-20 Published:2021-03-04

摘要/Abstract

摘要： 文章以提供生鲜产品运输配送服务的物流企业为研究对象，考虑生鲜产品质量腐蚀特性，应用随机更新理论建立基于下游零售商产品新鲜度水平要求的保鲜投资与物流集配联合决策随机模型。模型分析指出单位时间的运输成本、集配惩罚成本与保鲜投入成本随保鲜投资决策与物流集配决策变化的内在规律。数值分析指出保鲜投资、物流集配及其联合决策的有效性和产品、成本、需求环境等参数与这些环境参数同时变化对保鲜投资决策、集配决策与企业运营成本的影响。

关键词: 物流集配, 生鲜产品, 保鲜投资, 产品新鲜度

Abstract: With the increase of sales channels and the change of people's buying habits, fresh product sales orders tend to be small batches and high frequency. This makes joint optimization of fresh product supply chain distribution, inventory and preservation decisions become a new problem. Therefore, considering a logistic company who provides shipment service for fresh products, a stochastic model is formulated based on Stochastic Renew Reward Theory to jointly optimize the fresh investment decision and the shipment consolidation decision in this paper. And the quality corrosion characteristic of fresh products and the fresh level requirement of downstream retailers are integrated into this model. Through analyzing this model, some inherent laws is shown that how the fresh investment decision and the shipment consolidation decision impact shipment cost, penalty cost incurred by shipment consolidation and fresh-keeping cost, respectively. Moreover, the expression of the optimal fresh investment quantity per product per time is pointed out based on the given shipment consolidation quantity. Similarly, given the fresh investment policy, the expression of the optimal shipment consolidation quantity is derived. Furthermore, the equation is also shown that the optimal fresh investment decision and the shipment consolidation decision should be satisfied. Based on these analyzing conclusions, an efficient algorithm for solving the model is proposed. Finally, through conducting a lot of experiments, it is obtained that how the fresh investment decision, shipment consolidation policy and their jointly optimization save the operation cost and how the product parameters, the cost parameter sand the demand parameters effect the fresh investment decision, the shipment consolidation decision and the long-run expected average cost.All conclusions in this paper have reference significance for the enterprises in the cold chain industry to make distribution and preservation investment decisions.

Key words: logistics shipment consolidation, fresh product, freshness-keeping investment, product freshness

中图分类号:

C934

陈靖. 基于产品新鲜度要求的保鲜成本投资与数量集配策略联合决策研究[J]. 中国管理科学, 2021, 29(2): 137-148.

CHEN Jing. Joint Decisions on Fresh Investment and Shipment Consolidation under Product Freshness Requirements[J]. Chinese Journal of Management Science, 2021, 29(2): 137-148.

参考文献

[1] 曹裕, 李业梅, 万光羽. 基于消费者效用的生鲜农产品供应链生鲜度激励机制研究[J]. 中国管理科学, 2018, 26(2):160-174.
[2] 姚莹, 翟福勤, 胡美华,等. 我国生鲜农产品电商的现状、问题与对策[J]. 农业科技通讯, 2018,1(5):15-18.
[3] 唐润, 彭洋洋. 考虑时间和温度因素的生鲜食品双渠道供应链协调[J]. 中国管理科学, 2017,25(10):62-71.
[4] 郑琪, 范体军. 考虑风险偏好的生鲜农产品供应链激励契约设计[J]. 管理工程学报, 2018,32(2):171-178.
[5] Lee C Y, Çetinkaya S, Jaruphongsa W.A dynamic model for inventory lot sizing and outbound shipment scheduling at a third-party warehouse[J]. Operations Research, 2003,51(5):735-747.
[6] Çetinkaya S, Tekin E, Lee C Y. A stochastic model for joint inventory and outbound shipment decisions[J]. ⅡE Transactions, 2008,40(3):324-340.
[7] Kand J H, Kim Y D. Coordination of inventory and transportation managements in a two-level supply chain[J]. International Journal Production Economics, 2010,123(1):137-145.
[8] Glock C H, Kim T. Shipment consolidation in a multiple-vendor-single-buyer integrated inventory model[J]. Computers & Industrial Engineering, 2014,70(2):31-42.
[9] Çetinkaya S, Lee C Y. Stock replenishment and shipment scheduling for vendor-managed inventory systems[J]. Management Science, 2000,46(2):217-232.
[10] Vlkü M, Bookbinder JH. Optimal quoting of delivery time by a third party logistics provider:The impact of shipment consolidation and temporal pricing schemes[J]. European Journal of Operation Research, 2012,221(1):110-117.
[11] Çetinkaya S, Bookbinder J H. Stochastic models for the dispatch of consolidated shipments[J]. Transportation Research Part B, 2003, 37(8):747-768.
[12] Mutlu F, Çetinkaya S. An integrated model for stock replenishment and shipment scheduling under common carrier dispatch costs[J]. Transportation Research Part E Logistics & Transportation Review, 2010, 46(6):844-854.
[13] Mutlu F, Çetinkaya S, Bookinder J H. An analytical model for computing the optimal time-and-quantity-based policy for consolidated shipments[J]. ⅡE Transactions, 2010, 42(5):367-377.
[14] Chen F Y, Wang T, Xu T Z. Integrated inventory replenishment and temporal shipment consolidation:A comparison of quantity-based and time-based models[J]. Annals of Operations Research, 2005, 135(1):197-210.
[15] Çetinkaya S, Mutlu F, Lee C Y. A comparison of outbound dispatch policies for integrated inventory and transportation decisions[J]. European Journal of Operational Research, 2006, 171(3):1094-1112.
[16] Moon I K, Cha B C, Lee C U. The joint replenishment and freight consolidation of a warehouse in a supply chain[J]. International Journal of Production Economics, 2011, 133(1):344-350.
[17] Du Shaofu, Liang Liang, Yang Jian, et al. Hybrid replenishment and dispatching policy with deteriorating items for VMI:analytical model and OSJCA approach[J]. Asia Pacific Management Review, 2006,11(3):177-185.
[18] Nguyen C, Dessouky M, Toriello A. Consolidation strategies for the delivery of perishable products[J]. Transportation Research Part E, 2014,69(1):108-121.
[19] Chen J, Dong M, Chen F F. Joint decisions of shipment consolidation and dynamic pricing of food supply chains[J]. Robotics and Computer-Integrated Manufacturing, 2007, 43(1):135-147.
[20] Chen Jing, Dong Ming, Xu Lei. A perishable product shipment consolidation model considering freshness-keepingeffort[J]. Transportation Research Part E:Logistics & Transportation Review, 2018, 115:56-86.
[21] 但斌,王磊,李宇雨.考虑消费者效用与保鲜的生鲜农产品EOQ模型[J].中国管理科学,2011,19(1):100-108.
[22] Cai Xiaoqiang, Chen Jian, Xiao Yongbo,et al. Optimization and coordination of fresh product supply chains with freshness-keeping effort[J]. Production and Operations Management, 2010,19(3):261-278.
[23] Dhandapani J, Uthayakumar R. Multi-item EOQ model for fresh fruits with preservation technology investment, time-varying holding cost, variable deterioration and shortages[J]. Journal of Control & Decision, 2016, 4(2):70-80.
[24] Shi Y, Yang W S. Optimal price and freshness-keeping effort level for a reseller with product freshness and quantity deteriorating simultaneously[C]//Proceedings of 5th International Conference on Measurement, Shenzhen, China, September 17-18, 2016.
[25] Liu Congwei, Fan Tijun, Hu Jiling. Analysis on investment decision of Nano-technology preservation of fresh agricultural products supply chain[C]//Proceedings of 2nd International Conference on Applied Mathematics, Sanya, China, February 26-28, 2017.
[26] Resnick S I. Adventures in stochastic processes[M]. Boston:Birkhäuser, 2002.

基于产品新鲜度要求的保鲜成本投资与数量集配策略联合决策研究

Joint Decisions on Fresh Investment and Shipment Consolidation under Product Freshness Requirements

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