An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption

Subramanian Selvakumar, Kathirvel Jeganathan, Krishnasamy Srinivasan, Neelamegam Anbazhagan, Soojeong Lee, Gyanendra Prasad Joshi () and Ill Chul Doo ()
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Subramanian Selvakumar: Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai 600005, India
Kathirvel Jeganathan: Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai 600005, India
Krishnasamy Srinivasan: Department of Management, College of Business and Economics, Arba Minch University, Arba Minch 4400, Ethiopia
Neelamegam Anbazhagan: Department of Mathematics, Alagappa University, Karaikudi 630003, India
Soojeong Lee: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
Gyanendra Prasad Joshi: Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea
Ill Chul Doo: Artificial Intelligence Education, Hankuk University of Foreign Studies, Dongdaemun-gu, Seoul 02450, Republic of Korea

Mathematics, 2023, vol. 11, issue 9, 1-34

Abstract: 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.

Keywords: home delivery service; self and compulsory vacation interruption; perishable; delivery server; ( s , Q ) ordering policy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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