In e-commerce, a critical problem is how to transship the products between different e-shops to lessen the risk of out of stock, especially in network shopping mall of China. Most of importance is how to select the optimal one in the waiting list of e-shops to make the transshipment economical. However, many factors that influence the effect of transshipment are uncertain and fuzzy, such as customer demand, product price and inventory level. Based on the cloud model theory, a novel method for evaluation of e-shop transshipment selection in the same network shopping mall is proposed to solve the problem. The factors that influence the transshipment effect are discussed in detail. An example of selecting the optimal e-shop to transship products to the out of stock e-shop is given on the basis of the steps of our evaluation calculation. Finally, the result shows that it can effectively optimize transshipment in online shopping economically.
LIU Sainan (柳赛男)
. E-Shop Transshipment Selection Evaluation Based on Cloud Model[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(5)
: 643
-649
.
DOI: 10.1007/s12204-018-1978-x
[1] Goodman Group. E-retailing: An exciting opportunityfor the logistics sector [R]. Bath, UK: Transport IntelligenceLimited, 2012. [2] EVERS P T. Heuristics for assessing emergency transshipments[J]. European Journal of Operational Research,2001, 129: 311-316. [3] REYES P M. Logistics networks: A game theory applicationfor solving the transshipment problem [J]. AppliedMathematics and Computation, 2005, 168: 1419-1431. [4] KUKREJA A, SCHMIDT C P. A model for lumpy demandparts in a multi-location inventory system withtransshipment [J]. Computers & Operations Research,2005, 32: 2059-2075. [5] XIAO Y B, CHEN J, LIU X L, et al. Dynamic inventorytransshipment game between two retailers ofseasonal product [J]. Systems Engineering Theory &Practice, 2008, 28(3): 35-43. [6] ¨OZDEMIR D, Y¨UCESAN E, YALE T H. Multilocationtransshipment problem with capacitated production[J]. European Journal of Operational Research,2006, 175: 602-621. [7] BENDOLY E. Integrated inventory pooling for firmsservicing both on-line and store demand [J]. Computers& Operations Research, 2004, 31: 1465-1480. [8] HE Y, ZHANG P, YAO Y L. Unidirectional transshipmentpolicies in a dual-channel supply chain [J]. EconomicModeling, 2014, 40: 259-268. [9] YANG S L, LIAO Y, SHI C M, et al. Heuristics forsolving an internet retailer’s dynamic transshipmentproblem [J]. Expert Systems with Applications, 2014,41: 5382-5389. [10] ZHANG H T. Data mining based on cloud modeland its application in traffic flow system [D]. Tianjin,China: Institute of Systems Engineering, TianjinUniversity, 2006 (in Chinese). [11] YAN F, LIU B W. Dynamic logistics procedure knowledgerepresentation based on cloud model [J]. LogisticsTechnology, 2008, 27(6): 75-76 (in Chinese). [12] LIU Q, XU J M. Research on prediction of the shorttermtraffic flow based on cloud model [J]. ComputerEngineering and Design, 2012, 33(5): 1953-1957 (inChinese). [13] FENG Y Q, WANG H L, CAO M Q. Intelligentdecision support system based on cloud model[C]//Proceedings of 2006 Chinese Control and DecisionConference. Shenyang, China: Northeastern UniversityPress, 2006: 1081-1084 (in Chinese). [14] FU B, LI D G, WANG M K. Review and prospect onresearch of cloud model [J]. Application Research ofComputers, 2011, 28(2): 420-426 (in Chinese). [15] TIAN J B, JIANG J G, ZHANG G F, et al. Evaluationof agent coalition based on cloud model [J]. Controland Decision, 2013, 28(1): 152-156 (in Chinese). [16] DI K C. Space data mining and knowledge discovery[M]. Wuhan, China: Wuhan University Press, 2001 (inChinese).
