系统管理学报

系统管理学报 ›› 2020, Vol. 29 ›› Issue (1): 167-173.DOI: 10.3969/j.issn.1005-2542.2020.01.018

• 运营管理 • 上一篇    下一篇

O2O模式下连锁零售网点需求预测及资源调度

张相斌，罗玲桃   

  1. 南京邮电大学 管理学院，南京 210023
  • 出版日期:2020-01-29 发布日期:2020-05-14
  • 作者简介:张相斌（1961-），男，博士。研究方向为物流与供应链管理。
  • 基金资助:
    国家自然科学基金资助项目(70972083)

Demand Forecast and Resource Scheduling of Chain Retail Outlets in O2O Model

ZHANG Xiangbin, LUO Lingtao   

  1. School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • Online:2020-01-29 Published:2020-05-14

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摘要： O2O模式注重用户体验，而保证产品的可获性作为线下体验的第1步，变得尤为重要。保证产品的可获性关键在于供需两方面平衡，基于此，以连锁零售企业各网点为对象，从供需两方面的视角切入，建立了基于概率排序的需求预测模型和资源调度区间规划模型，给出了O2O模式下有效保证产品可获性从而提升顾客满意度的方案。研究贴合O2O实践中的具体问题，具备较强的现实参考意义。

关键词: O2O, 需求预测, 资源调度, 概率排序, 区间规划

Abstract:  The online to offline(O2O) mode attaches great importance to user experience. As the first step of offline experience, ensuring the availability of product has become particularly critical. The key to ensuring the availability of products lies in the balance between supply and demand. Based on this point of view, targeting at the chain retail outlets and starting from the perspective of the two aspects of supply and demand, in this paper, a demand forecast model was established based on the probability ranking and the resource scheduling interval programming model, and the scheme to ensure the product availability was given so as to improve customer satisfaction in the O2O mode. The study on specific issues in O2O practice has a very strong practical reference significance.

Key words: online to offline (O2O), demand forecast, resource scheduling, probability ranking, interval programming

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