基于消费者满意度的稻米农产品电子商务物流优化方法研究

Logistics and distribution services of the agricultural Rice electronic commerce development is playing an increasingly important role in internet + background. The project is to develop a logistics optimization theory, an example and an empirical study on the optimization method of rice agricultural products e-commerce based on modern logistics management theory, the theory of consumer satisfaction and intelligent optimization theory, etc. The key research contents include the following aspects. First, it is to explore the key factors influencing the customer satisfaction of rice agricultural products logistics and distribution services under large sample and big data using text mining and data mining techniques. Construct key satisfaction analysis matrix to explore internal effect of rice logistics distribution service on consumer satisfaction. Second, Research on rice agricultural e-commerce logistics optimization method, construct a multi-objective optimization model based on consumer satisfaction perspective as a starting point in order to achieve many goals. Finally, the intelligent optimization method is proposed to solve the problem of large scale demand.. This study has scientific significance to improve the theoretical method of rice e -commerce logistics distribution, and it is for making decision for the supplier of agricultural products and logistics enterprises. It has important theoretical significance and practical value for promoting the development of rice agricultural products electronic commerce and the national economic and social development.

农产品电子商务供应链物流管理优化问题已成为影响农产品电子商务发展的重要环节。本课题是在互联网+背景下揭示农产品供应链物流配送服务对消费者满意度的影响机理，挖掘出关键影响因素；以消费者满意多目标物流优化度视角为出发点，构建分类模式下农产品电子商务供应链物流优化模型；探索该问题大数据样本下的智能优化求解技术。研究内容包括：大样本、大数据分析下，采用文本挖掘和数据挖掘技术展开农产品供应链物流配送服务对消费者满意度的关键影响因素和影响机理研究，构建消费者满意度模型；基于消费者满意度视角，构建分类模式下的农产品电子商务平台卖家与消费者之间的多目标物流优化模型。并针对大规模情形下，研究该问题的求解方法。. 基于供应链管理理论、消费者满意度理论和智能优化理论等展开实例和实证研究。本研究对完善农产品电子商务供应链管理理论体系，为农产品供应商和物流企业决策，促进农产品电子商务和国民经济

农产品电子商务供应链物流管理优化问题已成为影响农产品电子商务发展的重要环节。本项目是在互联网+背景下研究稻米农产品供应链物流配送服务对消费者满意度的影响机理，挖掘出关键影响因素；以消费者满意视角为出发点，构建分类模式下稻米农产品电子商务多目标物流优化模型；针对大量的稻米农产品供应商和消费者需求，研究了该问题大数据样本下的智能优化求解方法。研究内容包括抓取稻米农产品在线评论数据，采用文本挖掘和数据挖掘技术展开分析，构建了稻米农产品基础情感词典，构建了关键性——满意度矩阵，研究消费者满意度的影响因素以及物流配送服务对稻米农产品电子商务消费者满意度的关键影响因素。构建了消费者满意度指数模型，研究了稻米农产品电子商务供应链物流优化模型，并针对该问题大规模、大样本、大数据情形下，从多个视角研究物流配送的智能优化求解方法。. 基于供应链管理理论、消费者满意度理论和智能优化理论等展开实例和实证研究。本研究对完善农产品电子商务供应链管理理论体系，为农产品供应商和物流企业决策，促进农产品电子商务的发展、对我国脱贫攻坚和乡村振兴具有重要意义。