Title: Determining the Order Picking Time in Food Retailing
Abstract: Online sales service is becoming increasingly important for food retailers. Many supermarket chains adopt store-based model in which online orders are picked in traditional stores. Companies must carry out proper resource planning to achieve success in the implementation of this omnichannel strategy. The purpose of this paper is to determine which aspects influence the order picking process and to provide a tool for estimating the workload involved in omnichannel retailing. By carrying out an empirical analysis in a Spanish e-grocer, a Multiple Linear Regression (MLR) model is proposed to estimate the order picking time. The results obtained determine the degree to which some of the store and order characteristics affect the picking process. Therefore, this work provides a valuable tool for both researchers and e-grocers to effectively manage resources in the current omnichannel context.
Publication Year: 2023
Publication Date: 2023-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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