scholarly journals Analisis Kinerja Antrian Pelanggan Restoran Cepat Saji (Studi Kasus : Kfc Jln. Gajah Mada, Medan, Sumatera Utara)

2018 ◽  
Vol 1 (1) ◽  
pp. 032-037
Author(s):  
Nurmahayati Sari Harahap ◽  
Esther Nababan ◽  
Elly Rosmaini
Keyword(s):  
Queuing Theory ◽  
Optimal Number ◽  
Queuing System ◽  
Queuing Systems ◽  
Low Level ◽  
Multiple Line ◽  
Queue Model ◽  
North Sumatra ◽  
Waiting Lines

Antrian merupakan suatau keadaan menunggu giliran untuk dilayani dengan suatu model antrian tertentu. Pengaplikasian teori antrian pada penelitian ini bertujuan untuk meminimalisir banyaknya antrian yang ada dan agar tercapinya kinerja antrian yang optimal pada KFC Jln. Gajah Mada, Medan, Sumatera Utara. Hasil yang diperoleh dari permasalahan yang ada berupa jumlah optimal kasir yang beroperasi setiap harinya yang akan dibagikan atas kondisi ramai, sepi dan normal. Dalam Penelitian ini digunakan analisis sistem antrian jalur berganda (M/M/S). Proses perhitungan data menggunakan manual  dan  perangkat  lunak  ―Quantitative  for  windows‖  dengan  modul  Waiting  Lines.  Berdasarkan hasil penelitian diketahui bahwa kinerja sistem antrian yang ada kurang optimal karena mempunyai tingkat kegunaan fasilitas yang rendah dan tingkat kesibukan kasir masih rendah, seperti pada jam sepi kegunaan kasir hanya berkisar 17% dan pada jam ramai kegunaan kasir berkisar 42% serta pada jam normal kegunaan kasir hanya berkisar 38% sehingga untuk menyelesaikan permasalahn tersebut akan digunakan teori antrian dengan hasil akhir diperoleh bahwa banyak kasir yang beroperasi pada kondisi sepi adalah 2 kasir, kondisi ramai sebanyak 4 kasir dan pada kondidi normal dengan 3 kasir. Queues are a state of waiting for their turn to be served with a particular queue model. The application of queuing theory in this study aimed to minimize the number of existing queues and to achieve optimal queuing performance at KFC Gajah Mada St., Medan, North Sumatra. The results obtained from the problem were in the form of the optimal number of cashiers operating each day which would be distributed on crowded, quiet and normal conditions. In this research, the analysis of multiple line queuing systems (M/M/S) was used. The process of calculating data employed manuals and software "Quantitative for Windows" with the Waiting Lines module. Based on the results of the study, it was known that the performance of the existing queuing system was not optimal because it had a low level of utility and cashier activity. In the quiet hours, the use of cashiers was only 17%. At peak hours the use of cashiers ranged from 42% and at normal hours about 38%. Therefore, to solve the problem, queuing theory was utilized. The final results obtained showed that there were 2 cashiers operating in quiet conditions, 4 in crowded conditions and 3 in normal conditions.

ANALISIS MODEL ANTRIAN DAN SIMULASI PADA BANK BNI 46 CABANG - UNIVERSITAS KUNINGAN

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Daswa . ◽  
Mohamad Riyadi
Keyword(s):  
Queuing Theory ◽  
Idle Time ◽  
Queuing System ◽  
Level Of Service ◽  
Time Service ◽  
Study Behavior ◽  
Pattern Distribution ◽  
Queue Model ◽  
Service Pattern ◽  
Arrival Pattern

Abstrak�Studi untuk mempelajari perilaku elemen antrian (waktu tunggu nasabah, waktu pelayanan, waktu menganggur teller dan sebagainya) dalam suatu sistem dapat ditinjau dengan teori antrian. Elemen antrian, terutama waktu pelayanan saat transaksi, dapat dijadikan tinjauan dalam meningkatkan kepuasan nasabah. Kecenderungan kesibukan aktivitas pelayanan di bank adalah merata setiap harinya. Kondisi ini berbeda dengan Bank BNI 46 Cabang Universitas Kuningan yang mempunyai antrian yang sangat panjang pada waktu menjelang UAS. Model antrian bank tersebut dianalisis dengan mempertimbangkan distribusi pola kedatangan, distribusi pola pelayanan dan jumlah teller menggunakan �fit test. Hasil uji ini menunjukkan pola kedatangan berdistribusi Poisson dan pola pelayanan berdistribusi eksponensial. Dan karena jumlah teller adalah 1, maka mengikuti notasi Kendall, model antrian bank adalah M/M/1. Simulasi pelayanan transaksi pada bank dilakukan untuk melihat kecenderungan perilaku elemen antrian. Simulasi menunjukkan semakin besar tingkat pelayanan, semakin besar peluang waktu menganggur teller. Akan tetapi, semakin besar tingkat pelayanan, banyak nasabah dalam antrian dan dalam sistem antrian akan semakin sedikit. Demikian juga dengan waktu rata-rata nasabah dalam antrian dan dalam sistem antrian.Kata Kunci: Model Antrian, Perilaku Elemen Antrian, Simulasi.�Abstract�A research to study behavior of queue elements (customer waiting time, service time, idle time teller and so on) in a system can be reviewed with queuing theory. The queue element, especially the transaction time, can be used as a review to improve customer satisfaction. The tendency of busy activity in bank service is evenly distributed every day. This condition is different from BNI 46 Bank branch Kuningan University which has a very long queue at the time before final examination. The bank queue model is analyzed by considering the distribution of arrival pattern, service pattern distribution and number of teller using fit test. The results of this test show the pattern of arrival of Poisson distributed and exponential distribution service pattern. And since the number of tellers is 1, then following Kendall notation, the bank queue model is M / M / 1. Simulation of transaction service at bank is done to see tendency of queue element behavior. Simulations show the greater the level of service, the greater the chance of idle time teller will be. However, the greater the level of service, the more customers in the queue and in the queuing system will be less. Likewise, the average time the customer is in the queue and in the queuing system.�Keywords: Queue Model, Behavior of Element Queue, Simulation.

scholarly journals Planning Model of Optimal Parking Area Capacity

2012 ◽  
Vol 22 (6) ◽  
pp. 449-457 ◽  
Author(s):  
Robert Maršanić ◽  
Zdenka Zenzerović ◽  
Edna Mrnjavac
Keyword(s):  
Decision Making ◽  
Key Words ◽  
Queuing Theory ◽  
Optimal Number ◽  
Queuing System ◽  
Basic Factor ◽  
Planning Model ◽  
Business Decision ◽  
The City

The demand for parking services is not a constant one, but rather varies from minimum to maximum. The range between the maximum and minimum demands and the dynamics of changes are the basic factor influencing the required size of the parking area capacity and the respective financial effects. The objective of this paper is to demonstrate that the queuing theory can be implemented in defining the optimal number of serving places (ramps) and the required capacity (number of parking spaces) in controlled access parking areas and that the established model can serve in business decision-making in respect to planning and development of the parking area capacity. The presented model has been verified in the example of the “Delta” parking area in the City of Rijeka but this model is particularly valuable as it can be implemented in any controlled access parking areas, i.e., parking areas with toll-bars under current or any other changed future conditions. KEY WORDS: planning of parking area capacities, optimal parking area capacity, queuing theory, parking area as a queuing system

scholarly journals ANALISIS SISTEM ANTRIAN DALAM OPTIMALISASI LAYANAN DI SUPERMARKET HYPERSTORE

2020 ◽  
Vol 12 (2) ◽  
pp. 225-237
Author(s):  
Benediktus L V Bataona ◽  
Antonio E L Nyoko ◽  
Ni Putu Nursiani
Keyword(s):  
Single Phase ◽  
System Analysis ◽  
Service Level ◽  
Optimal Number ◽  
Queuing Model ◽  
Multiple Line ◽  
First Come First Serve ◽  
Queue Model ◽  
Queue Theory ◽  
Service Optimization

The purpose of this study is to determine the average customer arrival level and average service level at the Hyperstore Supermarket and analyze the queuing system by optimizing the number of cashiers that must be set at the Hyperstore Supermarket. The results showed that the queuing model used at the Hyperstore Supermarket is Multi Channel Single Phase by applying the First Come First Serve (FCFS) queuing discipline. The average service level at the Hyperstore Supermarket is 146 people/hour. The current number of lines opened at the Hyperstore Supermarket is 6 cashiers. However, 6 cashier lines are excess even though 3 cashier lines are sufficient. Queue system analysis shows that the optimal number of cashier lines which is 1 cashier line open at 3:00 pm to 4:00, 2 cashier lines open at 16:00 to 19:00 and 3 cashiers lines opened at 19:00 to 20:00 Keywords: Queue Theory, Multiple Line Queue Model, Cashier, Service Optimization

An alternative transient solution for semi-Markov queuing systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Revaz Kakubava
Keyword(s):  
Queuing System ◽  
Queuing Systems ◽  
Transient Solution ◽  
Methods Of Analysis ◽  
Supplementary Variables ◽  
Probabilistic Argumentation

AbstractBy using a purely probabilistic argumentation, two theorems are proved. They simplify the existing methods of analysis for the {M/G/1} queuing system by means of the supplementary variables method.

scholarly journals Performance Modelling of Health-care Service Delivery in Adekunle Ajasin University, Akungba-Akoko, Nigeria Using Queuing Theory

2020 ◽  
pp. 119-127
Author(s):  
Orimoloye Segun Michael
Keyword(s):  
Health Care ◽  
Service Delivery ◽  
Queuing Theory ◽  
Health Care Service ◽  
Health Centre ◽  
Arrival Rate ◽  
Queuing System ◽  
Service Rate ◽  
Suitable Model ◽  
The Mean

The queuing theory is the mathematical approach to the analysis of waiting lines in any setting where arrivals rate of the subject is faster than the system can handle. It is applicable to the health care setting where the systems have excess capacity to accommodate random variation. Therefore, the purpose of this study was to determine the waiting, arrival and service times of patients at AAUA Health- setting and to model a suitable queuing system by using simulation technique to validate the model. This study was conducted at AAUA Health- Centre Akungba Akoko. It employed analytical and simulation methods to develop a suitable model. The collection of waiting time for this study was based on the arrival rate and service rate of patients at the Outpatient Centre. The data was calculated and analyzed using Microsoft Excel. Based on the analyzed data, the queuing system of the patient current situation was modelled and simulated using the PYTHON software. The result obtained from the simulation model showed that the mean arrival rate of patients on Friday week1 was lesser than the mean service rate of patients (i.e. 5.33> 5.625 (λ > µ). What this means is that the waiting line would be formed which would increase indefinitely; the service facility would always be busy. The analysis of the entire system of the AAUA health centre showed that queue length increases when the system is very busy. This work therefore evaluated and predicted the system performance of AAUA Health-Centre in terms of service delivery and propose solutions on needed resources to improve the quality of service offered to the patients visiting this health centre.

A New Clustering Method with Fuzzy Approach Based on Takagi-Sugeno Model in Queuing Systems

2013 ◽  
Vol 3 (2) ◽  
pp. 32-54
Author(s):  
Farzaneh Gholami Zanjanbar ◽  
Inci Sentarli
Keyword(s):  
Fuzzy Model ◽  
Extraction Process ◽  
Queuing System ◽  
Rule Base ◽  
Queuing Systems ◽  
Clustering Method ◽  
Hard Clustering ◽  
Sugeno Model ◽  
Takagi Sugeno ◽  
Linear Controllers

In this paper, the authors propose a new hard clustering method to provide objective knowledge on field of fuzzy queuing system. In this method, locally linear controllers are extracted and translated into the first-order Takagi-Sugeno rule base fuzzy model. In this extraction process, the region of fuzzy subspaces of available inputs corresponding to different implications is used to obtain the clusters of outputs of the queuing system. Then, the multiple regression functions associated with these separate clusters are used to interpret the performance of queuing systems. An application of the method also is presented and the performance of the queuing system is discussed.

Simulation of M/M/1 Queue Model Based on WITNESS

2011 ◽  
Vol 261-263 ◽  
pp. 753-756
Author(s):  
Hua Meng ◽  
Hua Wang ◽  
Jian Jun Wang
Keyword(s):  
Complex System ◽  
Production Line ◽  
Queuing Theory ◽  
Simulation Method ◽  
System Optimization ◽  
Theory Method ◽  
Steel Making ◽  
Queue Model ◽  
System Characteristics ◽  
Static Simulation

The techno-interface of BF-BOF region is an important stage that connects iron making procedure with steel making procedure in the production line, acting as a connecting link between the preceding and the following procedure. It is also the key region to optimize the iron making and steel making process as a whole. In this paper, based on queuing theory method for BF-BOF region simulation, a static simulation method is presented to realize the simulation of dynamic system, WITNESS is used to simulate the M/M/1 queue model. The number of different transportation ladles has been analyzed to influence the BF-BOF region, the best ladles were obtained in order to improve production rate. The results show that the modeling method can reflect the complex system characteristics of BF-BOF region and provide the advice for system optimization.

The Application of Computer Simulation Technology in the Queuing System Optimization

2014 ◽  
Vol 556-562 ◽  
pp. 3849-3851
Author(s):  
Rong Hua Tan
Keyword(s):  
Computer Simulation ◽  
Queuing Theory ◽  
Optimization Problem ◽  
Classical Model ◽  
Discrete Event ◽  
System Optimization ◽  
Discrete Event System ◽  
Queuing System ◽  
Event System ◽  
Definition Of

The optimization Problem of queuing system is an important research subject in the queuing system.There are two ways to solve this problem:one is the traditional theoretical analysis, the other is the application of computer simulation. This thesis introduces the queuing theory and the simulation technique of discrete event system, including fundamental conceptions, methods, performance index and classical model of queuing system, as well as the definition of simulation and the procedure of the simulation of discrete event system. And procedure and parameters set of general modeling methods are analyzed.

scholarly journals Optimal Allocation of Changing Station for Electric Vehicle Based on Queuing Theory

2016 ◽  
Vol 28 (5) ◽  
pp. 497-505 ◽  
Author(s):  
Yagang Zhang ◽  
Dingli Qi ◽  
Wei Jiang ◽  
Shuang Lei
Keyword(s):  
Electric Vehicle ◽  
Queuing Theory ◽  
Optimal Allocation ◽  
Electricity Consumption ◽  
Optimal Number ◽  
Power Station ◽  
Charging Station ◽  
New Construction ◽  
Optimum Plan ◽  
Planning And Construction

Electric vehicle as the main development direction of the future automotive industry, has gained attention worldwide. The rationality of the planning and construction of the power station, as the foundation of energy supply, is an important premise for the development of electric vehicles. In full consideration of the electric demand and electricity consumption, this paper proposes a new construction mode in which charging station and centralized charging station are appropriately combined and presents a location optimization model. Not only can this model be applied to determine the appropriate location for the power station, but it can use the queuing theory to determine the optimal number of power equipment, with which we can achieve the minimum costs. Finally, taking a certain city as an example, the optimum plan for power station is calculated by using this model, which provides an important reference for the study of electric vehicle infrastructure planning.

scholarly journals ANALISIS PELAYANAN COUNTER CHECK-IN CITILINK INDONESIA DENGAN MENGGUNAKAN METODE ANTRIAN DI ERA PANDEMI COVID-19

Jurnal IPTA ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 200
Author(s):  
Yudha Eka Nugraha ◽  
Yurisah Adiningsih Hau
Keyword(s):  
Service Quality ◽  
Waiting Time ◽  
Service Time ◽  
Queuing Theory ◽  
Air Travel ◽  
Research Results ◽  
Multiple Line ◽  
Ground Handling ◽  
Quantitative Descriptive ◽  
Descriptive Method

Tourism as one of the priority sectors that is developing in Indonesia has an impact on increasing number of air travelers in Indonesia. Air travel actors consist of various elements, one of which is tourists. During air travel, tourists need to go through the check-in process at the airport before they arrived in destination. This study aims to analyze the punctuality of the check-in counter service of Citilink Indonesia airline at Ground Handling company in PT Gapura Angkasa using the queuing theory and FIFO. Counter check-in services will refer to Ministerial Regulation Number 38, 2015. The quantitative descriptive method was chosen as the approach to this research. Services at Citilink Indonesia's check-in counters are analyzed using the multiple line queuing theory. In calculating the data, the queue observation is calculated, the queue time is recorded, and is equipped with an interview with the check-in counter frontliner. Based on the research results, Citilink Indonesia's counter check-in service at El-Tari Kupang Airport shows that: 1) The waiting time for air travelers in the queue is <20 minutes. 2) Service time for air travelers at the counter check at Citilink Indonesia per person is <2 minutes 30 seconds. The results of this study conclude that the Citilink Indonesia counter check-in service at El-Tari Airport, Kupang is in accordance with Ministerial Direction No. 38 of 2015. According to the result given, Check In Counter Citilink Indonesa has always been commited to give the best service quality for passenger, and obey health protocol while check-in process happens.

Sign in / Sign up

Export Citation Format

Share Document