Determining Cashier Staffing Policy with SAS Simulation Studio

Abdelsalam, Hisham M.; Zaki, Areej M.; Mohsen, Nada M.

doi:10.1109/eurosim.2013.71

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…However, due to data limitations or for the sake of simplicity some authors do not distinguish particular steps and treat service as a single step that covers all three actions. Regarding simulations, supermarket models typically assume exponential service times [34], but other distributions -like triangular [35], lognormal [36] or phase-type (PH) [37] have been considered as well. If we want to be more precise, we can decompose the service time into two factors that drive it: work amount and cashier speed.…”

Section: Service Timementioning

confidence: 99%

Data-Driven Simulation Modeling of the Checkout Process in Supermarkets: Insights for Decision Support in Retail Operations

2020

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We build a realistic agent-based model for simulating customer decisions of picking lines in supermarkets that is calibrated to actual point of sale (POS) data from one of major European retail chains. It is implemented in the open-access NetLogo simulation platform and is freely available to academics and practitioners interested in testing how different checkout zone layouts, as well as queue management and feedback strategies impact the overall efficiency of the checkout process. In particular, we show that when customers pick a line by minimizing the expected waiting time, not only is this choice beneficial for the customers themselves, as it leads to shorter waiting times in queues, but also for the supermarket management, since it yields shorter working times of the cashiers. As such, we provide guidance as to the feedback that could be provided to customers entering the checkout zone.

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