Abstract

Most of the distribution centers of chain supermarkets in China adopt the excessively simple activity-based classification (ABC) as the management method of classifying warehousing work, which often leads to an increase in operation and storage costs of the enterprise, a decrease in efficiency of the commodity circulation operation, and, eventually, a loss in enterprise growth because the goods ordered by stores cannot be delivered immediately. In addition, many studies in recent years have aimed at solving the problems of ABC classification by using the concept, method, or model of multi-criteria; however, limitations can be found in these studies. The main purpose of this study is to propose a new method, based on ABC classification, to improve the shortcomings of traditional classification methods, especially for special industries such as chain supermarkets. First, the case was classified using the ABC classification method as designed according to the actual situation of the case, and then the modified Delphi method, factor analysis, and analytic network process (ANP) decision model constructed by focus group was applied. Finally, ANP is used to put forward a specific improvement scheme and countermeasures for the storage management classification plan of the case. Last but not least, to verify the applicability of the model, an actual case was used to test the model. The results show the reference value and practicability of the proposed model. Furthermore, it can be offered as a set of systematic and scientific decision-making reference standards for managers and decision-makers of chain supermarkets when making warehouse management plans and standards.

Highlights

  • In recent years, with the rapid development of the economy, the pace of life and consumption level of citizens have accelerated, and the demand for shopping is growing

  • The main purpose of this study is to propose a new method based on activity-based classification (ABC) classification to improve the shortcomings of traditional classification methods, especially for the special industry of chain supermarkets

  • The case was classified based on ABC classification according to the actual situation of the case, and the modified Delphi method, factor analysis, and analytic network process (ANP) decision model constructed by focus group was applied

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Summary

Introduction

With the rapid development of the economy, the pace of life and consumption level of citizens have accelerated, and the demand for shopping is growing. People have gradually formed the habit of buying commodities in chain supermarkets. According to statistics from The Ministry of Commerce of the People’s Republic of China (MOFCOM), the total sales of large chain supermarkets with an area of more than 6,000 square meters increased from 20.689 billion yuan in 2009 to 466.543 billion yuan in 2018. The total sales of unified distribution increased from 961.74 yuan in 2009 to 2,825 yuan in 2018. The number of stores increased from 2,292 in 2009 to 4,760 in 2018 (MOFCOM, 2019). It is obvious that the integration of operation and storage has become the trend in supermarket operation

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