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An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption
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An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption
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An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption
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Journal Article
An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption
2023
Overview
This study presents and discusses the home delivery services in stochastic queuing-inventory modeling (SQIM). This system consists of two servers: one server manages the inventory sales processes, and the other server provides home delivery services at the doorstep of customers. Based on the Bernoulli schedule, a customer served by the first server may opt for a home delivery service. If any customer chooses the home delivery option, he hands over the purchased item for home delivery and leaves the system immediately. Otherwise, he carries the purchased item and leaves the system. When the delivery server returns to the system after the last home delivery service and finds that there are no items available for delivery, he goes on vacation. Such a vacation of a delivery server is to be interrupted compulsorily or voluntarily, according to the prefixed threshold level. The replenishment process is executed due to the (s,Q) reordering policy. The unique solution of the stationary probability vector to the finite generator matrix is found using recursive substitution and the normalizing condition. The necessary and sufficient system performance measures and the expected total cost of the system are computed. The optimal expected total cost is obtained numerically for all the parameters and shown graphically. The influence of parameters on the expected number of items that need to be delivered, the probability that the delivery server is busy, and the expected rate at which the delivery server’s self and compulsory vacation interruptions are also discussed.
