Application of Discrete Event Simulation (DES) for Queuing System Improvement at Hypermarket

Mohamad, Fazeeda; Saharin, Siti Filza

doi:10.18502/kss.v3i22.5059

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimized staff scheduling that decreases visitors' waiting time. Mohamad and Filza Saharin (2019) This study focused on enhancing the queuing system at a hypermarket using DES.…”

Section: Arena Simulation Softwarementioning

confidence: 99%

Optimizing Service Operations in Banking System: A Discrete Event Simulation Modeling Approach

Jamil,

Mobin,

Bhowmik

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

Queueing is a common problem for busy banks, causing long waiting times for customers. This study focuses on a leading bank in Bangladesh that sees high numbers of customers daily. The goal is to simulate the bank's service system to determine the optimal number of servers during peak hours. Additionally, removing the extra servers to get the optimum service level as the servers remain idle when there are not many customers in a bank is mainly for the cost minimization of the banking operations by maintaining its optimum utilization. Here, a discrete event simulation (DES) approach is utilized to build and analyze the performance of a queueing model over time. Key aspects such as arrival rates, service times, queue capacity, and customer tolerance are also represented. The simulation runs for an extended period to mimic real customer traffic and the performance metrics including average waiting time, queue length, resource utilization, number of busy servers, idle servers, and customer complaints are then quantified. The validated simulation accurately portrays the existing operation and allows testing changes by adding or removing the servers resulting in a reduction of 31.8% in queue length and 33.76% in service time, alongside a notable 20.48% improvement in service utilization. Findings suggest this simulation yields better resource management by speeding up service that proves effective for evaluating complex queueing systems and informing strategic decisions through quantitative analysis of alternatives. Overall, the analysis aimed to enhance seamless bank operations, customer satisfaction, and experience at the busy bank location through data-driven recommendations on queue management.

show abstract

“…Optimized staff scheduling that decreases visitors' waiting time. Mohamad and Filza Saharin (2019) This study focused on enhancing the queuing system at a hypermarket using DES.…”

Section: Arena Simulation Softwarementioning

confidence: 99%

Optimizing Service Operations in Banking System: A Discrete Event Simulation Modeling Approach

Jamil,

Mobin,

Bhowmik

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

show abstract

“…The study demonstrates that with the addition of another server, the hospital is capable of achieving a waiting time of less than two minutes. Mohamad and Saharin (2019) developed a software-based discrete event simulation model to analyze the queue system of a supermarket. With the aid of the model, three different trials are conducted.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of a car wheel alignment centre: an application of discrete events simulation

Lankapura,

Wettasinghe

2023

6th International Conference on Business Research (ICBR 2023)

View full text Add to dashboard Cite

Customer satisfaction is one of the major important aspects of any production-oriented or service-oriented organization. Any firm must ensure that they are capable of satisfying the customer’s requirements while gaining a financial benefit through the business operation. If an organization can fulfil the needs of the customer while having financial benefits at the same time, the organization will be able to sustain the business. The study aims at the performances of a particular car wheel alignment center. The major problem associated with this process is the formation of a vehicle queue during the mornings of weekends. To address the aforesaid problem, this study first attempts to simulate the current situation of the real process using discrete event simulation software, and then evaluates the performances by changing the state parameters on it. In the simulation study, the assumptions and simplifications made on the arrival pattern, inter-arrival times and the average service time. From the simulation study, it is clearly observed that the queue length has a significant impact on the number of servers. At once, it can be clearly noticed that the number of service bays can be increased to eliminate the queues. With the aid of simulation trials using three and four servers, the results clearly showed that there is a reduction in the queue length when more servers are added. However, with a detailed cost-benefit analysis followed by the simulation trials conducted, it can be concluded that the addition of another server will be optimal. Also, the cost-benefit analysis shows that, after a time period of 12 months the initial capital can be recovered.

show abstract

Application of Discrete Event Simulation (DES) for Queuing System Improvement at Hypermarket

Cited by 2 publications

References 6 publications

Optimizing Service Operations in Banking System: A Discrete Event Simulation Modeling Approach

Optimizing Service Operations in Banking System: A Discrete Event Simulation Modeling Approach

Performance improvement of a car wheel alignment centre: an application of discrete events simulation

Contact Info

Product

Resources

About