基于零售背景的新型物流与新型供应链协同发展研究  

Research on the Collaborative Development of New Logistics and New Supply Chain Based on Retail Background

作　　者：付明德 陈娜 FU Mingde;CHEN Na(School of Economics and Management,Dalian Jiaotong University,Dalian 116000,China)

机构地区：[1]大连交通大学经济管理学院,辽宁大连116000

出　　处：《物流科技》2024年第12期121-126,共6页Logistics Sci-Tech

基　　金：2023年度辽宁省社会科学规划基金项目“数字经济赋能辽宁装备制造业高质量发展研究”(L23BJY025)。

摘　　要：零售行业当前正面临着消费者需求的多样化、供应链管理的复杂化以及运营效率的提高等诸多挑战,有效地分析和预测零售行业中新型物流和供应链的动态变化,对企业的策略制定和运营优化具有重大意义。文章采用季节性自回归积分滑动平均模型(SARIMA)作为主要研究方法,对零售行业中新型物流和供应链的发展趋势进行深入的时序分析,以期为零售行业的策略制定和运营优化提供科学的分析工具和实用见解,使零售行业能够更好地理解新型物流和供应链的发展动态,从而制定更加有效的管理策略和应对措施。The retail industry faces many challenges,such as the diversification of consumer demand,the complexity of supply chain management,and the improvement of operational efficiency.Effectively analyzing and predicting the dynamic changes of new logistics and supply chains in the retail industry is of great significance for enterprise strategy formulation and operational optimization.This paper adopts the Seasonal Autoregressive Integral Moving Average(SARIMA)model as the main research method to conduct in-depth temporal analysis on the development trends of new logistics and supply chains in the retail industry.This aims to provide scientific analytical tools and practical insights for the strategy formulation and operational optimization of the retail industry,enabling the retail industry to better understand the development dynamics of new logistics and supply chains,and thus formulate more effective management strategies and response measures.

关 键 词：零售行业 新型物流 新型供应链 SARIMA 

分 类 号：F259.27[经济管理—国民经济]