scholarly journals Analisis Proses Produksi Menggunakan Teori Antrian Secara Analitik dan Simulasi

2019 ◽  
Vol 8 (1) ◽  
pp. 9-18
Author(s):  
Rika Listiyani ◽  
Lilik Linawati ◽  
Leopoldus Ricky Sasongko
Keyword(s):  
Waiting Time ◽  
Service Time ◽  
Simulation Analysis ◽  
Queuing System ◽  
Queue System ◽  
Performance Improvements ◽  
Service Production ◽  
Significant Difference ◽  
Queue Model ◽  
Simulation Results

The focus of this research is to analyze the production process queuing system at one of the stages of production of swiftlet nest in analytical and simulation. The purpose of this research is to obtain the model and characteristics of the queue system at the Finishing-2. The analysis uses data on the rate of arrival and the rate of service based on real observation and determines the probability distribution of data between arrival time and service time using the Easyfit 3.0 program, to get the model of the queuing system is obtained. After the model obtained, analytic and simulation analysis is carried out using the Queuing System Simulation (QSS) module in the WINQSB software. The results of the queuing system characteristics in the analytical and simulation have a significant difference, because the distribution of time between arrivals and service times used in analytical calculations is G (general), while the simulation uses a distribution that refers to a particular type of distribution according to the results of the Easyfit program. Simulation is carried out with the FIFO and SIRO queue disciplines. The simulation results show that 91% of the characteristics of the queue system in the two queue disciplines do not have a significant difference. Moreover, it has also been done a comparison between the characteristics of the queuing system in two different work areas namely Room A and Room B&C, based on the simulation results, the results show 58% of the characteristics of the queuing system have a significant difference, this is due to differences in service time between the two work areas. Thus the purpose of this research has been achieved which is obtained by the queue model (G/G/c):(FIFO/∞/∞), and also obtained system performance improvements, in the form of waiting time in the queue where the waiting time in Room B&C is smaller than Room A. Keywords: Queuing, Arrival, Service, Production, Simulation.

Development of a Heuristics Model for Simplifying a Multi-Channel Queuing System

2011 ◽  
Vol 367 ◽  
pp. 647-652
Author(s):  
B. Kareem ◽  
A. A. Aderoba
Keyword(s):  
Waiting Time ◽  
Channel Model ◽  
Single Channel ◽  
Queuing System ◽  
Queuing Model ◽  
Average Waiting Time ◽  
Queuing Models ◽  
Significant Difference ◽  
Number Of Customers ◽  
Proportionality Principle

Queuing model has been discussed widely in literature. The structures of queuing systems are broadly divided into three namely; single, multi-channel, and mixed. Equations for solving these queuing problems vary in complexity. The most complex of them is the multi-channel queuing problem. A heuristically simplified equation based on relative comparison, using proportionality principle, of the measured effectiveness from the single and multi-channel models seems promising in solving this complex problem. In this study, six different queuing models were used from which five of them are single-channel systems while the balance is multi-channel. Equations for solving these models were identified based on their properties. Queuing models’ performance parameters were measured using relative proportionality principle from which complexity of multi-channel system was transformed to a simple linear relation of the form = . This showed that the performance obtained from single channel model has a linear relationship with corresponding to multi-channel, and is a factor which varies with the structure of queuing system. The model was tested with practical data collected on the arrival and departure of customers from a cocoa processing factory. The performances obtained based on average number of customers on line , average number of customers in the system , average waiting time in line and average waiting time in the system, under certain conditions showed no significant difference between using heuristics and analytical models.

PERFORMANCE ESTIMATION OFM/DK/1 QUEUE UNDER FAIR SOJOURN PROTOCOL IN HEAVY TRAFFIC

2008 ◽  
Vol 23 (1) ◽  
pp. 61-74
Author(s):  
Yingdong Lu
Keyword(s):  
Markov Process ◽  
Waiting Time ◽  
Service Time ◽  
Infinitesimal Generator ◽  
Heavy Traffic ◽  
Queuing System ◽  
Performance Estimation ◽  
Processor Sharing ◽  
Average Waiting Time ◽  
Processor Sharing Queues

We study the performance of aM/DK/1 queue under Fair Sojourn Protocol (FSP). We use a Markov process with mixed real- and measure-valued states to characterize the queuing process of system and its related processor sharing queue. The infinitesimal generator of the Markov process is derived. Classifying customers according to their service time, using techniques in multiclass queuing system, and borrowing recently developed heavy traffic results for processor-sharing queues, we are able to derive approximations for average waiting time for the jobs.

WAITING TIME OF M/D1,∞/1 QUEUE

2007 ◽  
Vol 24 (03) ◽  
pp. 383-399
Author(s):  
WOOJIN CHANG
Keyword(s):  
Steady State ◽  
Waiting Time ◽  
Service Time ◽  
Single Server ◽  
Poisson Arrival ◽  
Mean And Variance ◽  
Simulation Results ◽  
Set Up ◽  
The Individual ◽  
Individual Service

In this paper, we consider a single-server infinite capacity queue with Poisson arrival. The server takes all waiting customers as a batch into service, and the service time of the kth customer in a batch is a + b × k, where a and b are the set-up time and the individual service time for each customer, respectively. The steady-state mean and variance of waiting time of an arbitrary customer are obtained. Simulation results confirm our analysis.

scholarly journals PENERAPAN SISTEM ANTRIAN SEBAGAI UPAYA PENGOPTIMALKAN PELAYANAN TERHADAP PASIEN PADA LOKET PENGAMBILAN OBAT DI RSI. IBNU SINA PASAMAN BARAT DENGAN MENGGUNAKAN METODE MONTE CARLO

2019 ◽  
Vol 3 (1) ◽  
pp. 7
Author(s):  
Novi Trisna ◽  
Wifra Safitri ◽  
Mutia Pratiwi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Simulation Model ◽  
Waiting Time ◽  
Queue System ◽  
Average Waiting Time ◽  
Commercial Activities ◽  
The Monte Carlo Method ◽  
Queue Model ◽  
Simulation Monte Carlo

Abstract - Queue is an activity that is often encountered not only in commercial activities, even RSI. Ibnu Sina Pasaman Barat engaged in services for the community also experienced the same thing. This needs to be considered and handled properly by the manager by taking anticipatory actions, because if it is not immediately resolved, then the community can feel unsatisfied with the services provided. Related to these problems, this study was conducted with the aim to determine the effectiveness of the number of counters at the time of service and make a simulation model of the drug collection queue system at the RSI drug collection counter. Ibnu Sina Pasaman Barat to get alternative system improvements, where the simulation model was made using PHP and MySQL. The simulation model made can provide information about the number of people served and the average waiting time of a particular time unit. From the analysis carried out on the simulation model, the alternative improvements that can be proposed are by setting the Monte Carlo method queue model as the queue model that will be used. From the results of the analysis carried out and by implementing it into PHP and MySQL the queue model of the Monte Carlo method is more optimal and efficient. It is seen from the average waiting time in the system to be served at the RSI drug collection counter. Ibnu Sina Pasaman Barat. Keywords - Queues, Simulation, Monte Carlo Abstrak - Antrian merupakan kegiatan yang kerap kali dijumpai bukan hanya pada kegiatan-kegiatan komersial, bahkan RSI. Ibnu Sina Pasaman Barat yang bergerak dibidang pelayanan bagi masyarakat juga mengalami hal yang sama. Hal ini perlu diperhatikan dan ditangani dengan baik oleh pengelola dengan melakukan tindakan-tindakan antisipasi, karena jika tidak segera terselesaikan, maka masyarakat bisa merasa tidak terpuaskan dengan pelayanan yang diberikan. Terkait dengan permasalahan tersebut maka penelitian ini dilakukan dengan tujuan untuk mengetahui keefektifitas jumlah loket pada saat pelayanan dan membuat model simulasi dari sistem antrian pengambilan obat di loket pengambilan obat RSI. Ibnu Sina Pasaman Barat untuk mendapatkan alternatif-alternatif perbaikan sistem, dimana model simulasinya dibuat dengan menggunakan PHP dan MySQL.Model simulasi yang dibuat dapat memberikan informasi mengenai jumlah masyarakat yang dilayani dan rata-rata waktu tunggu masyarakat satuan waktu tertentu. Dari analisa yang dilakukan terhadap model simulasi, alternatif perbaikan yang dapat diusulkan yaitu dengan menetapkan model antrian metode monte carlo sebagai model antrian yaang akan digunakan. Dari hasil analisa yang dilakukan dan dengan mengimplementasikan kedalam PHP dan MySQL model antrian metode monte carlo lebih optimal dan efisien digunakan dilihat dari rata-rata waktu tunggu  dalam sistem untuk dilayani pada loket pengambilan obat RSI. Ibnu Sina Pasaman Barat.Kata Kunci - Antrian, Simulasi, Monte Carlo

scholarly journals Analisis Model Antrian Loket Transaksi pada PT. POS Indonesia (persero) Kantor Cabang Sawangan dengan Menggunakan Software Promodel

2018 ◽  
Vol 3 (2) ◽  
pp. 170
Author(s):  
Drajat Indrajaya ◽  
Riri Cornellia
Keyword(s):  
Exponential Distribution ◽  
Poisson Distribution ◽  
Service Time ◽  
Queue System ◽  
Software Application ◽  
Average Percentage ◽  
First Come First Serve ◽  
Queue Model ◽  
Number Of Customers

Simulation is a process of imitation of a tangible thing and its surroundings. The problem found in this study is a long queue at the payment counter resulting from numerous customers who come to POS Company. It is also caused by some factors such as a small number of cash registers, with only 2 counters functioned irregularly and less extensive queue lines. Considering that, an analysis of the queues at the payment counters using pro model software application is made to anticipate the long queues. This simulation is run for 6 hours with 10-time replication, verified and is then validated. The queue model used is (M/M/2):(FCFS/~/~), meaning the number of arrivals uses Poisson distribution and the service time uses exponential distribution. With the number of facility service as many as 2 people, the discipline used is the customer who comes first will be served first (first come first serve). The number of queues in the queue system and the size of the population at the source of arrival is infinite. The average percentage of teller utilities is 62.14% and the idle percentage of teller is 37.86%. The average number of customers completing transactions is 119.30 ? 120 customers for 6 hours. The average time spent by customers in the queue until they are served is 3.67 minutes. The average time customer spends in the system is 6.08 minutes.

A Queue Dispatch Optimizing Method for Elevator Traffic System

2012 ◽  
Vol 182-183 ◽  
pp. 1919-1923
Author(s):  
Jian Liu ◽  
Ting Zhang ◽  
Jin Xiang Pian ◽  
Feng Yan Han ◽  
Li Wang ◽  
...  
Keyword(s):  
Waiting Time ◽  
Control Strategy ◽  
New Method ◽  
Actual Data ◽  
Traffic System ◽  
Average Waiting Time ◽  
Queue Model ◽  
Simulation Results

In this paper, a new method is presented to optimize the elevator traffic system based on queue model. The application of this method is studied in detail. Parameters for the elevator running including number of elevator passenger, average waiting time and arriving ratio, and the relationships between them have been analyzed as well. Therefore, the dispatching of elevator dynamic partition can be done. The actual data of rush hours are used for simulation tests. The simulation results show that this method has good performance. The method is a more practical control strategy especially in rush hours.

scholarly journals ANALISIS SISTEM ANTRIAN PELAYANAN ADMINISTRASI PASIEN RAWAT JALAN PADA RUMAH SAKIT PADMALALITA MUNTILAN

2019 ◽  
Vol 12 (1) ◽  
pp. 68-78
Author(s):  
Mimi Kurnia Nengsih ◽  
Mimi Vera Yustanti
Keyword(s):  
Waiting Time ◽  
Single Phase ◽  
Queuing System ◽  
Analytical Performance ◽  
Queue System ◽  
Administrative Services ◽  
Outpatient Hospital ◽  
The Hours ◽  
Average Patient ◽  
Patient Waiting Time

The Issues raised in this research is: "How does the queuing system of administrative services outpatient hospital padmalalita Muntilan". The purpose of this study was to determine the queuing system administration services outpatients at the hospital padmalalita Muntilan. From the calculation of analytical performance Queue System with Single Change Single Phase (M / M / 1) arrival Patients most visible onvMonday, where the average patient comes highest in the hours 09:00 to 11:00, wherevthe average time patients spent waiting in patients with the necessary longest queue in the queue is 0.061 minutes and 0.009 minutes is the shortest time that happened in the hours 11:00 to 12:00. The longest time it takes the patient in the system is 1,111 minutes that occurred at 09:00 to 10:00 and 10:00 to 11:00 and shortest time is 0.059 minutes which occurred at 11:00 to 12:00.If the addition of the server into two servers, patient waiting time in the queue is reduced. The waiting time in the queue the longestvfor one server that is 0.061 minutes per patient, if using 2 servers waiting time was reduced to 0,004 minutes per patient.

Simulation Analysis and Optimization of Lubricating Oil System

2021 ◽  
Author(s):  
Qiongxiao Wu ◽  
Jianjun Wang ◽  
Jingming Chen ◽  
Pengzheng Li
Keyword(s):  
Simulation Model ◽  
Simulation Analysis ◽  
Sudden Change ◽  
Pressure Change ◽  
Lubricating Oil ◽  
Maximum Pressure ◽  
Closing Time ◽  
Original Design ◽  
Relief Valve ◽  
Simulation Results

Abstract Based on the one-dimensional simulation model of lubricating oil system is established and analyzed by using FLOWMASTER software, this paper proposes a new method of optimizing lubricating oil system by PID technology. Ensure that the configuration requirements and control strategies of the relevant accessories of the simulation model are satisfied with the design requirements. Firstly, by simulating lubricating oil pressure fluctuation and lubricating oil flow distribution under Open/Close Valve in different opening and closing time, the optimal opening/closing time of Open/Close Valve is determined to be 0.2 s and 0.5 s respectively. Secondly, by writing the controller script file combined with a controller to realize automatic unloading relief valve simulation, determine the relief valve pressure regulating range of 0∼0.38 MPa, For precision of constant pressure valve of oil spill, the simulation results show that the average 10 m3/h flow caused by pressure changes of about 0.06 MPa. Under the flow sudden change signal of about 40 m3/h, the maximum pressure change is less than 0.1 MPa. Through the simulation results, it is found that most of the lubrication parts in the original design have the phenomenon of flow redundancy, which causes unnecessary pump power loss. The system is optimized by PID technology. By comparing the simulation results before and after optimization, it is found that the speed of constant displacement pump could be changed in time by PID controller, and the flow redundancy could be improved significantly, so the lubricating oil system could be lower consumption and achieve the purpose of optimization.

scholarly journals The effect of 5S-Continuous Quality Improvement-Total Quality Management approach on staff motivation, patients’ waiting time and patient satisfaction with services at hospitals in Uganda

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Naoki Take ◽  
Sarah Byakika ◽  
Hiroshi Tasei ◽  
Toru Yoshikawa
Keyword(s):  
Quality Improvement ◽  
Patient Satisfaction ◽  
Waiting Time ◽  
Continuous Quality Improvement ◽  
Double Difference ◽  
General Hospitals ◽  
Staff Motivation ◽  
Continuous Quality ◽  
Significant Difference ◽  
Referral Hospitals

This study aimed at analyzing the effect of 5S practice on staff motivation, patients’ waiting time and patient satisfaction with health services at hospitals in Uganda. Double-difference estimates were measured for 13 Regional Referral Hospitals and eight General Hospitals implementing 5S practice separately. The study for Regional Referral Hospitals revealed 5S practice had the effect on staff motivation in terms of commitment to work in the current hospital and waiting time in the dispensary in 10 hospitals implementing 5S, but significant difference was not identified on patient satisfaction. The study for General Hospitals indicated the effect of 5S practice on patient satisfaction as well as waiting time, but staff motivation in two hospitals did not improve. 5S practice enables the hospitals to improve the quality of services in terms of staff motivation, waiting time and patient satisfaction and it takes as least four years in Uganda. The fourth year since the commencement of 5S can be a threshold to move forward to the next step, Continuous Quality Improvement.

scholarly journals Research on Fault Diagnosis of Hydraulic System of Fast Erecting Device Based on Fuzzy Neural Network

2022 ◽  
Author(s):  
Yangbing Zheng ◽  
Xiao Xue ◽  
Jisong Zhang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Hydraulic System ◽  
Fuzzy Neural Network ◽  
Simulation Analysis ◽  
Fuzzy Relation ◽  
Analysis Procedure ◽  
Fuzzy Neural ◽  
Simulation Results

In order to improve the fault diagnosis effectiveness of hydraulic system in erecting devices, the fuzzy neural neural network is applied to carry out fault diagnosis of hydraulic system. Firstly, the main faults of hydraulic system of erecting mechanism are summarized. The main faults of hydraulic system of erecting devices concludes abnormal noise, high temperature of hydraulic oil of hydraulic system, leakage of hydraulic system, low operating speed of hydraulic system, and the characteristics of different faults are analyzed. Secondly, basic theory of fuzzy neural network is studied, and the framework of fuzzy neural network is designed. The inputting layer, fuzzy layer, fuzzy relation layer, relationship layer after fuzzy operation and outputting layer of fuzzy neural network are designed, and the corresponding mathematical models are confirmed. The analysis procedure of fuzzy neural network is established. Thirdly, simulation analysis is carried out for a hydraulic system in erecting device, the BP neural network reaches convergence after 600 times iterations, and the fuzzy neural network reaches convergence after 400 times iterations, fuzzy neural network can obtain higher accuracy than BP neural network, and running time of fuzzy neural network is less than that of BP neural network, therefore, simulation results show that the fuzzy neural network can effectively improve the fault diagnosis efficiency and precision. Therefore, the fuzzy neural network is reliable for fault diagnosis of hydraulic system in erecting devices, which has higher fault diagnosis effect, which can provide the theory basis for healthy detection of hydraulic system in erecting devices.

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