Optimal Order Decision Making for Fresh Agricultural Products Delivered by High-Speed Railway
-
摘要: 针对高铁快运运输速度快和生鲜农产品易发生质量损耗的特性，建立高铁快运背景下生鲜农产品供应链的最优订货决策模型.运用指数函数模型刻画生鲜农产品的新鲜度随运输时间的衰减关系；鉴于高铁快运和普通运输在单位运输费用和运输时间上的差异，在供应商主导和零售商主导两种决策模式下，定量化分析供应链主导者选择高铁快运的必要条件.研究结果表明：基于高铁快运的生鲜农产品供应链系统存在最优的订货策略；供应商比零售商受高铁快运的单位运输费用影响更大；供应链最大化期望利润是关于生鲜农产品新鲜度参数和价格弹性指数的单调减函数.Abstract: In the context of the fast speed of high-speed rail express transportation and the perishability of fresh agricultural products, this study constructed an optimal order decision-making model for the supply chain of fresh agricultural products. The exponential function model is proposed to measure the decay of fresh agricultural products' freshness with transportation time. Considering the difference between high-speed rail transportation and ordinary transportation in terms of unit transportation cost and transportation time, the necessary conditions for supply chain leaders to choose high-speed rail express were quantitatively analyzed under two decision-making modes:supplier-dominated and retailer-dominated. The research shows that there is an optimal pricing and ordering strategy for the supply chain of fresh agricultural products transported by high-speed rail. The supplier is more sensitive to the per unit transportation cost of the high-speed rail than the retailer. The maximum expected profit of a supply chain is a monotonically decreasing function of the freshness of fresh agricultural products and the price elasticity coefficient.
-
图 1 供应商最大期望利润随β/b的变化趋势
Figure 1. Maximum expected profits of the suppliers changing with the parameter β/b
图 2 供应商主导下的最大期望利润随b的变化趋势
Figure 2. Maximum expected profits driven by the suppliers changing with the parameter b
图 3 零售商最大期望利润随β/b的变化趋势
Figure 3. Maximum expected profits of the retailers changing with the parameter β/b
图 4 零售商主导下的最大期望利润随b的变化趋势
Figure 4. Maximum expected profits driven by the retailers changing with the parameter b
图 5 供应链的最大化期望利润随β的变化关系
Figure 5. Maximum expected profits of supply chain changing with the parameter β
-
吕璞, 胡祥培, 马永峰.高铁快递的契约与零售双市场定价决策模型[J].计算机集成制造系统, 2016, 22(7):1759-1767. http://d.old.wanfangdata.com.cn/Periodical/jsjjczzxt201607015LV Pu, HU Xiangpei, MA Yongfeng. Pricing decision models for high-speed rail express with allotments and spot market demand[J]. Computer Integrated Manufacturing Systems, 2016, 22(7):1759-1767. http://d.old.wanfangdata.com.cn/Periodical/jsjjczzxt201607015 BLACKBURN J, SCUDDER G. Supply chain strategies for perishable products:the case of fresh produce[J]. Production & Operations Management, 2009, 18(2):129-137. doi: 10.1111/j.1937-5956.2009.01016.x/full GRUNOW M, PIRAMUTHU S. RFID in highly perishable food supply chains-remaining shelf life to supplant expiry date[J]. International Journal of Production Economics, 2013, 146(2):717-727. doi: 10.1016/j.ijpe.2013.08.028 AKÇAY Y, NATARAJAN H P, XU S H. Joint dynamic pricing of multiple perishable products under consumer choice[J]. Management Science, 2010, 56(8):1345-1361. doi: 10.1287/mnsc.1100.1178 CAI X Q, CHEN J, XIAO Y B, et al. Optimization and coordination of fresh product supply chains with freshness-keeping effort[J]. Production and Operations Management, 2010, 19(3):261-278. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=866eac64393bc64bc31d423a4084c897 肖勇波, 陈剑, 徐小林.到岸价格商务模式下涉及远距离运输的时鲜产品供应链协调[J].系统工程理论与实践, 2008, 28(2):19-25. doi: 10.3321/j.issn:1000-6788.2008.02.003XIAO Yongbo, CHEN Jian, XU Xiaolin. Fresh product supply chain coordination under CIF business model with long distance transportation[J]. Systems Engineering-Theory & Practice, 2008, 28(2):19-25. doi: 10.3321/j.issn:1000-6788.2008.02.003 FERGUSON M, KETZENBERGM E. Information sharing to improve retail product freshness of perishables[J]. Production and Operations Management, 2006, 15(1):57-73. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=00c097be613248d2161222e444887fcb DYE C Y, HSIEH T P. An optimal replenishment policy for deteriorating items with effective investment in preservation technology[J]. European Journal of Operational Research, 2012, 218(1):106-112. doi: 10.1016/j.ejor.2011.10.016 陈军, 但斌, 张旭梅.多级价格折扣下基于损耗控制的生鲜农产品EOQ模型[J].系统工程理论与实践, 2009, 29(7):43-54. doi: 10.3321/j.issn:1000-6788.2009.07.006CHEN Jun, DAN Bin, ZHENG Xumei. EOQ model for fresh agricultural product under progressive price discount and loss-controlling[J]. Systems Engineering-Theory & Practice, 2009, 29(7):43-54. doi: 10.3321/j.issn:1000-6788.2009.07.006 KETZENBERGM, BLOEMHOF J, GAUKLER G. Managing perishables with time and temperature history[J]. Production and Operations Management, 2015, 24(1):54-70. doi: 10.1111/poms.12209/pdf 易余胤.具竞争零售商的再制造闭环供应链模型研究[J].管理科学学报, 2009, 12(6):45-54. doi: 10.3321/j.issn:1007-9807.2009.06.005YI Yuyin. Closed-loop supply chain game models with product remanufacturing in a duopoly retailer channel[J]. Journal of Management Science in China, 2009, 12(6):45-54. doi: 10.3321/j.issn:1007-9807.2009.06.005 吴胜, 雒兴刚, 陈振颂, 等.需求依赖于产品价格和消费者时间偏好的定价与订货决策[J].控制与决策, 2016, 31(9):1594-1602. http://d.old.wanfangdata.com.cn/Periodical/kzyjc201609009WU Sheng, LUO Xinggang, CHEN Zhensong, et al. Pricing and ordering decisions with price-and consumer timer preference-dependent demand[J]. Control and Decision, 2016, 31(9):1594-1602. http://d.old.wanfangdata.com.cn/Periodical/kzyjc201609009 KARLIN S, CARR C R. Prices and optimal inventory policy[J]. Arrow Karlin & Scarf Studies in Applied Probability & Management Science, 1962:159-172. http://d.old.wanfangdata.com.cn/Conference/WFHYXW400626 GRANOT D, YIN S. Price and order postponement in a decentralized newsvendor model with multiplicative and price-dependent demand[J]. Operations Research, 2008, 56(1):121-139. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=cfd7abaea966a254f3dbed8de0275bd4 PETRUZZI N C, DADA M. Pricing and the newsvendor problem:a review with extensions[J]. Operations Research, 1999, 47(2):183-194. http://www.jstor.org/stable/223038 -
下载:
点击查看大图
图(6)
计量
- 文章访问数: 435
- HTML全文浏览量: 185
- PDF下载量: 154
- 被引次数: 0