Influence of pickers’ learning and forgetting effects towards order batching efficiency of online-to-offline supermarket
ZHANG Jun1,2， ZHANG Ning1， ZHANG Xueyan1
(1.School of Information Management， Central China Normal University， Wuhan 430079， China； 2.E-commerce ResearchCenter of Hubei Province， Central China Normal University， Wuhan 430079， China)
Abstract：In this paper employees’ learning-forgetting effects was introduced into the order batching problem of online-to-offline supermarkets， and the influence of learning-forgetting effects towards order picking efficiency was analyzed. The order batching optimization model was formulated to minimize the total service time， and the three-stage service time expression considering learning-forgetting effects was established. The improved seed algorithm was proposed to solve the model. Two common picker scheduling strategies S1 and S2 were proposed and compared under the model. Through a series of simulation experiments， it’s found that S1 is better performed than S2. When the rest days are fixed， longer consecutive rest days and fewer rest times are able to weaken the negative influence of forgetting and are more beneficial to the picking performance. Moreover， compared to lower forgetting effects， higher learning abilities are more dominant to affect the picking performance. This paper expands the study of learning and forgetting effects into order picking field， and provides substantive suggestions for managers to formulate the employee scheduling strategy.
2023, Vol. 57 
