A hybrid artificial intelligence sales-forecasting system in the convenience store industry

作     者：Lee, Wan-I Shih, Bih-Yaw Chen, Chen-Yuan 

作者机构：Department of Marketing and Distribution Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Department and Graduate School of Computer Science National Pingtung University of Education No. 4-18 Minsheng Rd. Pingtung City Pingtung County 90003 Taiwan National Kaohsiung First University of Science and Technology Kaohsiung Taiwan 

出 版 物：《Human Factors and Ergonomics In Manufacturing》 (Hum Fact Ergon Manuf)

年 卷 期：2012年第22卷第3期

页      面：188-196页

核心收录：

学科分类：0202[经济学-应用经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Self organizing maps 

摘      要：Recently, there has been increasing interest in computer-aided ergonomics and its applications, such as in the fields of intelligent robots, intelligent mobiles, intelligent stores, and so on. The operation of convenience stores (CVS) in Taiwan is facing a crossover revolution by providing multiple services, including daily fresh foods, a café, ticketing, and a grocery. Therefore, forecasting the daily sales of fresh foods is getting more and more complex due to the influence of both internal and external factors. Eventually, a reliable sales-forecasting system will play an important role in improving business strategies and increasing competitive advantages. The purpose of this study is the development of an enhanced hybrid sales-forecasting model of fresh foods, called ECFM (Enhanced Cluster and Forecast Model), for CVSs by combining a self-organization map (SOM) neural network and radial basis function (RBF) neural networks. The model is evaluated for a six-month sales data set of daily fresh foods at a chained CVS in Taiwan. Meanwhile, the performance of the proposed model is compared with that of fuzzy neural network (FNN) and cluster and forecast model (CFM). The result reveals that the proposed model is not only amenable but can also promise the fresh food sales forecasting for CVSs. Copyright © 2011 Wiley Periodicals, Inc., A Wiley Company.