Ticket Machine Queuing System Design Application for Service Efficiency Simulation and Comparison

Poomrittigul, Suvit; Koomsubsiri, Amorn; Aung, Htain Lynn; Sasithong, Pruk; Wuttisittikulkij, Lunchakorn

doi:10.1109/iceic49074.2020.9051331

Cited by 4 publications

(2 citation statements)

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“…"Waiting is frustrating, demoralizing, agonizing, aggravating, annoying, time-consuming and incredibly expensive," an advertisement for Federal Express said. Nowadays, the question of how to provide high-efficiency service and low waiting time for the customer is a necessary topic for service industry providers to think about [2].…”

Section: Introductionmentioning

confidence: 99%

Optimizing the counter service based on linear programming and queue theory

Guo

2023

TNS

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With the progress of the social economy, the pace of people's life and work is accelerating, and queuing has gradually become a key factor affecting the service level and quality of enterprises. Although the queuing problem has been gradually optimized, there are still some problems such as queue congestion and confusion, inadequate work of staff, and low efficiency. It can be seen that effective measures have been taken to properly solve the queuing problem in China's service industry and other industries. This paper is aimed at using the method that combined linear programming with queue theory to develop 3 steps to optimize the manpower scheduling problem for a real-world situation. A case study of the local government service counter is provided. After applying our model to the case problem, we have achieved three goals: to reduce the number of staff to a more accurate state. Our research finds that there exist some real problems with the service like their service rate is a bit low and needs to improve. In addition, this model has application value for a wide range of other fields, such as banks, post offices and other scenarios.

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Section: Introductionmentioning

confidence: 99%

Optimizing the counter service based on linear programming and queue theory

Guo

2023

TNS

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“…According to [26], clients who are required to queue are considered delay-sensitive where their decision to queue are influenced by the delay in both waiting time and service time. The delay that occurs in waiting time and service time during queuing process can be used to analyse client's satisfaction on the service supplied [20]. It is necessary for the service provider to design an efficient QMS that can manage high average of customers in queue and use the same server platform to manage and calculate the estimated time for clients to be served.If the organizations can collaborate and develop an integrated online QMS, where the clients can reserve or book their queueing number for one or more organizations based on the specific time that they want to get serviced, this will allow the client to avoid waiting in crowded and confined spaces [17].…”

Section: Introductionmentioning

confidence: 99%

C19-SmartQ: Applying Real-Time Multi-Organization Queuing Management System Using Predictive Model to Maintain Social Distancing

Halim

Othman²,

Buja³

et al. 2021

Int. J. Interact. Mob. Technol.

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<p>COVID-19 is a pandemic crisis that has introduced new norm to the world where we are not encouraged to be in 3C areas, namely crowded place, confined space, and close conservation. We must also ensure that we are at least one meter apart from one another at all time even while queuing. The queuing process can be seen at any organization that offer services. Adhering to the new norm can be a challenge for organization such as banks, hospitals, and government offices when the number of clients waiting in queue increases while in confined space. On the client’s side, they must go through the queue process of obtaining a queue number ticket and then wait to be served in confined and sometimes crowded space every time they require a service. Thequeue process will be repeated at different premise. This study proposes real-time multi-organizationsC19-SmartQ system which use predictive modelling to generate single or consecutive queue number tickets for any client requiring services from two different organizations located within the same building. C19-SmartQsystemmanages queues thus administer social distancing and streamline queues to reduce waiting periods and improve service efficiency. To ensure operability of C19-SmartQ system, itwas tested on the functionality and web server speed performance. The web server speed performance results show that data transfer and web loading were stable since there was only an increase of 0.2 seconds or 0.08% as the number of users per session increases. In the future, the system can be designed to accommodate queuing for more organizations located within the same building. Machine learning can also be integrated in the system to improve the predictive modelling based on current environment at each organization.</p>

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