Queueing-inventory system with return of purchased items and customer feedback

In this paper, a model of single server queueing-inventory system (QIS) with Markovian Arrival Process (MAP) and phase-type distribution (PH-distribution) of the service time of consumer customers ( c -customers) is considered. After completing the service of c -customer, he (she) can make one of the following decisions: (1) eventually leave the system with probability (w.p.) σ ℓ ; (2) after a random “thinking” time returns the purchased item w.p. σ r ; (3) after a random “thinking” he (she) feedback to buy a new item w.p. σ f . It is assumed that σ ℓ + σ r + σ f = 1. If upon arrival of the c -customer the system main warehouse (SMW) is empty, then the incoming customer, according to the Bernoulli scheme, is either joins the infinite queue or leaves the system. A virtual finite orbit can be considered as a waiting room for feedback customers ( f -customers). Returned items are considered new and are sent directly to SMW if there is at least one free space; otherwise, this item is sent to a special warehouse for returned items (WRI). After completing the service of each customer, one item is instantly sent from the WRI (if any) to the SMW. In SMW, the ( s, S ) replenishment policy is used and it is assumed that the lead time follows exponential distribution with finite parameter. When the stock level reaches its maximum value due to items returns, the system immediately cancels the regular order. Along with classical performance measures of QIS new specific measures are defined and numerical method for their calculation as well as maximization of the revenue function are developed. Results of numerical examples to illustrate the effect of different parameters on the system’s performance measures are provided and analyzed. We also provide a detailed analysis of an important special case of the Poisson process/exponential service time model.

Authors

Publication Details

Journal
RAIRO. Operations research
Published
2025-04-08
DOI
https://doi.org/10.1051/ro/2025042
Citations
2
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
4.57
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article

Queueing-inventory system with return of purchased items and customer feedback

Аgassi Melikov, Dhanya Shajin
2 citations
RAIRO. Operations research
Advanced Queuing Theory Analysis
4.57
article

Queueing-inventory system with return of purchased items and customer feedback

Аgassi Melikov, Dhanya Shajin
article en
2 citations

Abstract

In this paper, a model of single server queueing-inventory system (QIS) with Markovian Arrival Process (MAP) and phase-type distribution (PH-distribution) of the service time of consumer customers ( c -customers) is considered. After completing the service of c -customer, he (she) can make one of the following decisions: (1) eventually leave the system with probability (w.p.) σ ℓ ; (2) after a random “thinking” time returns the purchased item w.p. σ r ; (3) after a random “thinking” he (she) feedback to buy a new item w.p. σ f . It is assumed that σ ℓ + σ r + σ f = 1. If upon arrival of the c -customer the system main warehouse (SMW) is empty, then the incoming customer, according to the Bernoulli scheme, is either joins the infinite queue or leaves the system. A virtual finite orbit can be considered as a waiting room for feedback customers ( f -customers). Returned items are considered new and are sent directly to SMW if there is at least one free space; otherwise, this item is sent to a special warehouse for returned items (WRI). After completing the service of each customer, one item is instantly sent from the WRI (if any) to the SMW. In SMW, the ( s, S ) replenishment policy is used and it is assumed that the lead time follows exponential distribution with finite parameter. When the stock level reaches its maximum value due to items returns, the system immediately cancels the regular order. Along with classical performance measures of QIS new specific measures are defined and numerical method for their calculation as well as maximization of the revenue function are developed. Results of numerical examples to illustrate the effect of different parameters on the system’s performance measures are provided and analyzed. We also provide a detailed analysis of an important special case of the Poisson process/exponential service time model.

RAIRO. Operations researchVol. 59(3)
Openalex Percentile: Top 6%
Advanced Queuing Theory Analysis
4.57
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Queueing-inventory system with return of purchased items and customer feedback — Аgassi Melikov, Dhanya Shajin · RAIRO. Operations research (2025) | TGRS Research Map | TGRS