Abstract:This article establishes an integrated credit decision optimization model based on the geometric Brownian motion theory, which takes discriminatory pricing, performance probability, demand shifting and the probability of business opportunities into account. The model also launches a new credit decision rule. Empirical results show that it is conducive to improve the estimation accuracy of total revenue by using the different risk premium standards, the probability of business opportunities and demand shifting of different credit ratings after choosing credit sale, which provide the date basis for choosing the timing of credit; The improved rule of credit opportunity selection provides a direct simple method to calculate the optimal time, which overcomes the limitations of the traditional comparison method.
孙庆文, 郭伟伟, 栾晓慧. 赊销最佳时机选择的集成式决策模型与方法[J]. 系统工程理论与实践, 2017, 37(1): 151-158.
SUN Qingwen, GUO Weiwei, LUAN Xiaohui. Integrated model and method of the credit sale decision based on choosing the optimal time. Systems Engineering - Theory & Practice, 2017, 37(1): 151-158.
[1] 代逸生, 沈培兰, 孙红霞. 基于Pareto/NBD模型的电子商务网站客户流失预测研究[J]. 科学技术与工程, 2010, 10(27): 6792-6795. Dai Y S, Shen P L, Sun H X. Research for E-commerce customer churns based on Pareto/NBD model[J]. Science Technology and Engineering, 2010, 10(27): 6792-6795. [2] 朱帮助. 基于SMC-RS-LSSVM的电子商务客户流失预测模型[J]. 系统工程理论与实践, 2010, 30(11): 1960-1967. Zhu B Z. E-business customer churn prediction based on integration of SMC, rough sets and least square support vector machine[J]. Systems Engineering-Theory & Practice, 2010, 30(11): 1960-1967. [3] 肖进, 刘敦虎, 贺昌政. 基于GMDH的"一步式"客户流失预测集成建模[J]. 系统工程理论与实践, 2012, 32(4): 807-814. Xiao J, Liu D H, He C Z. "One-step" customer churn prediction ensemble modeling based on GMDH[J]. Systems Engineering-Theory & Practice, 2012, 32(4): 807-814. [4] 琚春华, 卢琦蓓, 郭飞鹏. 融入个体活跃度的电子商务客户流失预测模型[J]. 系统工程理论与实践, 2013, 33(1): 141-150. Ju C H, Lu Q B, Guo F P. E-commerce customer churn prediction model combined with individual activity[J]. Systems Engineering-Theory & Practice, 2013, 33(1): 141-150. [5] Farquad M A H, Vadlamani R, Bapi R. Churn prediction using comprehensible support vector machine: An analytical CRM application[J]. Applied Soft Computing, 2014(19): 31-40. [6] Kyoungok K, Chi-Hyuk J, Jaewook L. Improved churn prediction in telecommunication industry by analyzing a large network[J]. Expert Systems with Applications, 2014, 41(15): 6575-6584. [7] 王未卿, 姚娆, 刘澄. 商业银行客户流失的影响因素——基于生存分析方法的研究[J].金融论坛, 2014(1): 73-79. Wang W Q, Yao R, Liu C. The factors to influence the customer running-off of commercial banks-A study based on survival analysis method[J]. Finance Forum, 2014(1): 73-79. [8] 贺本岚. 支持向量机模型在银行客户流失预测中的应用研究[J]. 金融论坛, 2014(9): 70-74. He B L. A study of the application of SVM in prediction about decrease in bank's customers[J]. Finance Forum, 2014(9): 70-74. [9] Vafeiadis T, Diamantaras K I, Sarigiannidis G, et al. A comparison of machine learning techniques for customer churn prediction[J]. Simulation Modelling Practice and Theory, 2015(55): 1-9. [10] 刘国强, 周宗放, 宋新民, 等. 基于非预测损失的赊销风险控制研究[J]. 管理评论, 2010, 22(2): 65-68. Liu G Q, Zhou Z F, Song X M, et al. A research on control of sale risk in view of unexpected loss[J]. Management Review, 2010, 22(2): 65-68. [11] Sun Q W, Wang X. Study on the model of profit evaluation of the account sale under imperfect information[C]//2010 International Conference on Innovative Computing and Communication, Macao, 2010: 162-165. [12] 孙庆文, 刘欣, 栾晓慧. 基于商机存在概率估测的赊销决策模型研究[J]. 管理学报, 2105, 12(2): 284-290. Sun Q W, Liu X, Luan X H. Decision-making model of credit sale based on the estimated probability of business opportunity[J]. Chinese Journal of Management, 2015, 12(2): 284-290. [13] 孙庆文, 张琼琼, 仇静莉, 等. 基于不同信息获取量的赊销决策风险度判别模型[J]. 系统工程理论与实践, 2012, 32(1): 41-48. Sun Q W, Zhang Q Q, Qiu J L, et al. Discrimination model of account sale decision-making risk degrees on the basis of different information acquisition degrees[J]. Systems Engineering-Theory & Practice, 2012, 32(1): 41-48. [14] 孙庆文, 孙丽燕, 栾晓慧. 基于收益管理理论的衰退期产品赊销的动态定价问题研究[J].天津大学学报, 2014(3): 205-211. Sun Q W, Sun L Y, Luan X H. Research dynamic pricing of product sold on account in their declining period of life[J]. Journal of Tianjin University, 2014(3): 205-211. [15] 孙庆文, 张志艳, 栾晓慧. 衰退期产品赊销动态决策优化模型及仿真[J]. 管理学报, 2014, 11(3): 402-407. Sun Q W, Zhang Z Y, Luan X H. Model and simulation of account sale dynamic decision optimization of products in their declining periods of life[J]. Chinese Journal of Management, 2014, 11(3): 402-407. [16] Masamitsu O. An optimal stopping problem for a geometric brownian motion with poissonian jumps[J]. Mathematical and Computer Modelling, 2003, 38(11): 1318-1390. [17] Ladde G S, Wu L. Development of modified geometric Brownian motion models by using stock price date and basic statistics[J]. Nonlinear Analysis, 2009, 71(12): e1203-e1208. [18] 何沐文, 刘金兰. 基于实物期权的外包时机决策模型[J]. 系统工程, 2011, 29(5): 38-42. He M W, Liu J L. Timing strategy of partial outsourcing based on real option[J]. Systems Engineering, 2011, 29(5): 38-42. [19] 叶莉, 赵璐佳, 陈立文. 房地产开发最佳投资时机的选择[J]. 统计与决策, 2011(21): 65-68. Ye L, Zhao L J, Chen L W. The optimal timing of investment options of real estate development[J]. Statistics Decision, 2011(21): 65-68. [20] Wang C H, Tsai M T, Huang Y C, et al. An evaluation model for deferred project development in real estate investment[J]. Applied Mathematics and Information Sciences, 2013, 7(5): 2001-2010. [21] Pham V K. Optimal stopping time to buy an asset when growth rate is a two-state Markov chain[J]. American Journal of Operations Research, 2014, 4(3): 132-141. [22] 吴前初, 何统军. 电信投资的最佳时点选择[J]. 莆田学院学报, 2012, 19(2): 28-32. Wu Q C, He T J. The best point choice for telecommunication investment[J]. Journal of Putian University, 2012, 19(2): 28-32. [23] Zhang Y C, Zhou Q L. Optimal entry decisions under uncertainty[J]. Journal of Nankai University, 2012, 45(4): 49-57. [24] 李岱. 企业技术创新战略投资最佳时机的实物期权分析[J]. 系统工程, 2014, 32(1): 82-86. Li D. The real option analysis of the optimal timing in strategic investment of technological innovation[J]. Systems Engineering, 2014, 32(1): 82-86. [25] Ferguson M, Toktay L B. The effect of competition on recovery strategies[J]. Product and Operations Management, 2006, 15(3): 351-368. [26] Chiang W Y K, Chhajed D, James D. Direct marketing, indirect profits: A strategic analysis of dual-channel supply-chain design[J]. Management Science, 2003, 49(1): 1-20.