Staffing Tandem Queues with Impatient Customers   Application in Financial Service Operations

Wang, Jianfu; Mehrizi, Hossein Abouee; Baron, Opher; Berman, Oded

doi:10.2139/ssrn.3116815

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…On the other hand, Wang et al. (2018), Kang et al. (2020), and Roet‐Green and Yuan (2020) highlight that due to the externalities that online customers impose, adding an online channel could increase wait times.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model

Delasay

Kumar

2022

Production and Operations Management

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The COVID‐19 pandemic has had profound effects on grocery retailers, forcing them to make many operational changes in response to public health concerns and the shift in customers' shopping behavior. Grocery retailers need to understand the impact of pandemic conditions on their operations, but the literature has not modeled and analyzed this issue. We bridge this gap through economic models that consider the documented changes in the customers' shopping behavior during the COVID‐19 pandemic, including less frequent in‐store shopping and bulk‐shopping tendency. We capture the impact of occupancy limitation guidelines on grocery retailers' service capacity, customers' shopping behavior, and, consequently, on the retailers' store traffic and profit. We find that though store occupancy limitations reduce the in‐store foot traffic (which helps with curbing the disease spread), interestingly, they do not necessarily result in a profit decline. Under occupancy limitations and when the retailer offers the delivery or curbside pickup service, our analyses highlight the externality impact of online customers on the shopping behavior of in‐store customers. When the retailer adds the delivery service, such externalities may increase the store traffic (higher infection risk inside the grocery store) and reduce the retailer's profit. When the retailer adds the curbside pickup instead, it has more control over the impact of externalities, which helps in lowering the store traffic and increasing the profit. Our results offer valuable insights into how retailers should regard occupancy limitations and health safety measures. Our results also highlight conditions under which various operating modes may help retailers reduce infection risk and achieve higher profit.

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Section: Literature Reviewmentioning

confidence: 99%

Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model

Delasay

Kumar

2022

Production and Operations Management

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“…In an extended work [24], the same authors of the above-mentioned paper assumed that the abandonment time is random, using various distributions to investigate their influence on the main performance measures of such a system. Other probes analysed the abandonment in other types of networks and showed that customers can leave systems from queues, server units while receiving services and while waiting; more details are given in [7,16]. However, in the current paper, we assume that impatient users (secondary) are forced to leave the system only from the orbit while waiting.…”

Section: Introductionmentioning

confidence: 99%

Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment

Nemouchi

Zaghouani

Sztrik

2021

Information Technologies and Mathematical Modelling. Queueing Theory and Applications

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The current paper presents a Cognitive Radio Network with impatient customers and unreliable servers by the help of a finite-source retrial queueing system. We consider two types of customers (primary and secondary) assigned to two interconnected frequency bands. A first frequency band with a priority queue and a second frequency band with an orbit are reserved for Primary Users (PUs) and Secondary Users (SUs), respectively. If the servers are busy, both customers (licensed and unlicensed) enter either the queue or orbit. Before they enter orbit, the secondary customers receive a random retrial time according to the exponential distribution, i.e. the waiting time before the next retry. Unlicensed users (impatient) are obliged to leave the system as soon as their total waiting time exceeds a random maximum waiting time. It should be noted, that the secondary service unit of our system is subject to random breakdowns and repairs. The novelty of this work consists in the investigation of the abandonment and secondary server unreliability impact on various performance measures of the system (Cognitive Radio Network), such as the mean response and waiting time of users, the probability of abandonment of SU, etc. Several figures illustrate the problem in question through simulation.

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“…Instead, many probes analysed abandonment in other types of network, endorsing that customers can leave systems from queues, server units, while getting services and while waiting, more details are found in [5,[9][10][11]23]. However, in the present paper, we suppose that the impatient users (Secondary ones) are forced to leave the system from the orbit only while waiting.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of finite-source Cognitive Radio Networks with impatient customers

Zaghouani¹,

Sztrik²

2020

AMI

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The current paper takes into consideration a cognitive radio network with impatient customers, by the help of finite-source retrial queueing system. We consider two different types of customers (Primary and Secondary) assigned to two interconnected frequency bands. A first frequency band with a priority queue and a second one with an orbit, both are respectively dedicated for the Primary Users (PUs) and Secondary Users (SUs). In case the servers are busy, both customers (Licensed and Unlicensed) join either the queue or the orbit. Before joining the orbit, secondary customers receive a random retrial time according to Exponential distribution, which is the holding time before the next retry. Unlicensed users (impatient) are obliged to leave the system once their total waiting time exceeds a given maximum waiting time.The novelty of this work is the investigation of the abandonment and its impact on several performance measures of the system such as the mean response time and waiting time of users, probability of abandonment of SU, etc. Several figures illustrate the problem in question by the help of simulation.

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Staffing Tandem Queues with Impatient Customers Application in Financial Service Operations

Cited by 5 publications

References 27 publications

Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model

Impacts of the COVID‐19 pandemic on grocery retail operations: An analytical model

Simulation Analysis in Cognitive Radio Networks with Unreliability and Abandonment

Performance evaluation of finite-source Cognitive Radio Networks with impatient customers

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