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This article explores how waiting times at a fast-food restaurant can be modified. Toward the end of the article, a simulation model is proposed which examines queuing times in three different line scenarios based on the number of meal sets ordered. Data were collected using on-site observations of customer arrivals, waits, and service provision in a fast-food restaurant. Simulations were run via Simul8. Analysis was done using analysis of variance, as well as post-hoc tests. It was found that the waiting line configuration, arrival rate, and demand distribution all have significant impacts on average queuing time and weighted value.
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Weng et al. (2016) studied this question.
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