scholarly journals A Simulation Study for Waiting Line Systems by C Programming

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Quality Of Service ◽  
Waiting Time ◽  
Simulation Study ◽  
Service Cost ◽  
C Language ◽  
Queue System ◽  
C Programming ◽  
Waiting Line ◽  
Alternative Solutions

Simulation is a method that using especially waiting line systems. In this study, a simulation study has made for waiting line systems by C programming. The particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned queue system. With this simulation, it is aimed to increase customers’ satisfaction by decreasing service cost, and to increase the quality of service with minimum waiting time. Considering alternative solutions, the optimal system is obtained to ensure economical stability between the interests of the customers and the management.

Manufacturing service order allocation in the context of social manufacturing based on Stackelberg game

2018 ◽  
Vol 233 (8) ◽  
pp. 1890-1901
Author(s):  
Wei Guo ◽  
Pingyu Jiang
Keyword(s):  
Quality Of Service ◽  
Nash Equilibrium ◽  
Manufacturing Industry ◽  
Stackelberg Game ◽  
Game Model ◽  
Service Cost ◽  
Order Allocation ◽  
Multi Objective ◽  
Bird Swarm Algorithm

For adapting the socialization, individuation and servitization in manufacturing industry, a new manufacturing paradigm called social manufacturing has received a lot of attention. Social manufacturing can be seen as a network that enterprises with socialized resources self-organized into communities that provide personalized machining and service capabilities to customers. Since a community of social manufacturing has multiple enterprises and emphasizes on the importance of service, manufacturing service order allocation must be studied from the new perspective considering objectives on service cost and quality of service. The manufacturing service order allocation can be seen as a one-to-many game model with multi-objective. In this article, a Stackelberg game model is proposed to tackle the manufacturing service order allocation problem with considering the payoffs on cost and quality of service. Since this Stackelberg game can be mapped to a multi-objective bi-level programming, a modified multi-objective hierarchical Bird Swarm Algorithm is used to find the Nash equilibrium of the game. Finally, a case from a professional printing firm is analyzed to validate the proposed methodology and model. The objective of this research is to find the Nash equilibrium on the manufacturing service order allocation and provide strategies guidance for customer and small- and medium-sized enterprises with optimal service cost and lead time. According to the game process and Nash equilibrium, some rules are revealed, and they are useful for guiding practical production.

scholarly journals Hubungan waktu tunggu dan length of stay (LOS) Dengan kepuasan pasien di instalasi Gawat darurat rsud jombang

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Siti Maghfiroh ◽  
Ratna Puji Priyanti ◽  
Alik Septian Mubarrok
Keyword(s):  
Quality Of Service ◽  
Length Of Stay ◽  
Emergency Room ◽  
General Hospital ◽  
Waiting Time ◽  
Statistical Tests ◽  
P Value ◽  
Spearman Rank ◽  
R Value

Introduction: Waiting time and length of stay ( LOS ) is one of indicators the quality of service in emergency room (ER ) that affects satisfaction patients, where speed and the accuracy is the essence service in ER. Research aims to understand the relations of waiting time and LOS with satisfaction patients in of emergency room Jombang general hospital. Method: This research using correlational design with cross sectional approached. The technique sampling is accidental sampling. The population were 1.204 people. And the sample size 60 people. Data collection used a questionnaire for measuring satisfaction patients and observation stopwatch a use for measuring waiting time and LOS. Data analyzed by statistical tests the spearman rank. Result: The results of the study obtained 31 people ( 51.7 % ) of respondents with waiting time slow, 24 people ( 40,0 % ) of respondents with los slow, while for the satisfaction of patients 31 people ( 51.7 % ) of a patient is satisfied with service. Statistical tests the spearman rank showsed that waiting time with satisfaction obtained  r value = 0,666, p value = 0,000. To LOS with satisfaction the r value = 0,350, p value = 0,006. There is a significant relation exists between waiting time and LOS with satisfaction patients. Discussion: Waiting time and LOS significant correlated with satisfaction patients in ER Jombang general hospital. The ER in Jombang general hospital is expected to have strong commitment, to give priority to the quality of service and interests of patients. Health workers is expected to give rapid service, right and respond to the problem of patients. And advanced research required about satisfaction patients in ER and the supporting factors.

scholarly journals Pengaruh Waktu Tunggu, Harga dan Kualitas Pelayanan terhadap Kepuasan Konsumen pada Maskapai XYZ Terminal 1B di Bandara Soekarno Hatta

2019 ◽  
Vol 1 (1) ◽  
pp. 125
Author(s):  
Seri Warsih
Keyword(s):  
Quality Of Service ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Hypothesis Testing ◽  
Waiting Time ◽  
Consumer Satisfaction ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Time Price

This study aims to determine the effect of waiting time, price and quality of service to customer satisfaction and analyze the most dominant variable affecting consumer satisfaction. Based on the results of this study is expected to realize the management of companies more effective and efficient. Population in this research is all passengers who use flight service from XYZ terminal terminal 1b at the Soekarno Hatta Airport Tangerang. Sampling technique conducted by the writer is Purpose Sampling, so that in the study only taken 100 passengers using XYZ airline. Method of data collection using questionnaire method and data analysis method using quantitative analysis with hypothesis proof. Hypothesis testing conducted is classical assumption test, multiple linear regression analysis, coefficient of determination (R2), “t” test and “F” test. Based on the results of data analysis and hypothesis testing, it can be concluded as follows: 1) waiting time partially influential and significant to customer satisfaction, 2) price partially influential and significant to customer satisfaction, 3) quality of service partially significant and significant customer satisfaction, 4) waiting time, price and service quality simultaneously have an effect on and significant to consumer satisfaction.

Fickle or Flexible?

2017 ◽  
Vol 2650 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Simon Saddier ◽  
Zachary Patterson ◽  
Alex Johnson ◽  
Natalie Wiseman
Keyword(s):  
Quality Of Service ◽  
Waiting Time ◽  
Public Transportation ◽  
Transportation Systems ◽  
The Body ◽  
General Level ◽  
Transit Systems ◽  
Unit Of Analysis ◽  
Wide Range

In many cities of the developing world, institutional public transportation is limited or nonexistent, and inhabitants have to rely on paratransit (informal or semiformal, non-fixed-route, nonscheduled transportation systems) for their travel. Although their flexibility and affordability offer clear advantages, these services are often criticized for their lack of reliability in terms of variations in travel time and waiting time. The body of work on paratransit and the work that characterizes paratransit as unreliable are almost exclusively based on self-reported or indirect data. Therefore the aim here is to fill a gap in the paratransit literature by applying concepts from the literature on transit quality of service to the field of informal transport. Indicators traditionally applied to formal transit systems are used to assess the level of reliability of paratransit services in a developing country. In addition, a new indicator is proposed to measure itinerary variations specific to paratransit. It is found that the most appropriate unit of analysis for such research is the station because operations on any given route are influenced by forces at the station level. The general level of variability measured through these indicators was less than expected. Although a wide range of situations was observed in this sample, most paratransit routes appeared to be relatively stable in Accra, Ghana.

COMPUTING AVERAGE OPTIMAL CONSTRAINED POLICIES IN STOCHASTIC DYNAMIC PROGRAMMING

2001 ◽  
Vol 15 (1) ◽  
pp. 103-133 ◽  
Author(s):  
Linn I. Sennott
Keyword(s):  
Quality Of Service ◽  
Optimal Policy ◽  
Stochastic Dynamic ◽  
Value Iteration ◽  
Service Cost ◽  
Constrained Problem ◽  
Service Delay ◽  
Finite State ◽  
Stochastic Dynamic Program

A stochastic dynamic program incurs two types of cost: a service cost and a quality of service (delay) cost. The objective is to minimize the expected average service cost, subject to a constraint on the average quality of service cost. When the state space S is finite, we show how to compute an optimal policy for the general constrained problem under weak conditions. The development uses a Lagrange multiplier approach and value iteration. When S is denumerably infinite, we give a method for computation of an optimal policy, using a sequence of approximating finite state problems. The method is illustrated with two computational examples.

scholarly journals Performance Analysis of Quality of Service in Software-Defined Networking

2019 ◽  
Vol 10 (4) ◽  
pp. 1
Author(s):  
Amir Hossein Moravejosharieh ◽  
Jaime Lloret
Keyword(s):  
Quality Of Service ◽  
Simulation Study ◽  
Software Defined Networking ◽  
Multimedia Traffic ◽  
Network Applications ◽  
Central Controller ◽  
Data Plane ◽  
High Level ◽  
Application Requirements

Software-Defined Networking (SDN) is a new networking strategy designed to overcome issues experienced in traditional IP network e.g. high level of complexity and inability to adaptively respond to newly arisen Quality of Service (QoS) requirements in a timely fashion. In SDN, control plane and data plane are decoupled which justifies the need to have a central controller to receive the application requirements (e.g. Quality of Service requirements) and implements a set of network policies on the data plane to eventually satisfy the requirements of the application. Implementing a proper set of policies on data plane can be quite a challenging task. In many cases implementing a set of policies in order to satisfy the requirements of an application negates requirements of other applications. In this paper, a simulation study is conducted to evaluate the performance of a QoS policy (i.e. reserving bandwidth) on a specific type of multimedia traffic (e.g. video, audio and data) and its influences on other types of multimedia traffic. The outcome of the simulation study has motivated the authors to conduct a mathematical analysis on the sensitivity of network applications over all possible combination of network policies to eventually implement a proper set of policies that imposes minimum destructive impact on other network applications or services.

scholarly journals Efficient Task Scheduling for Quality of Service in Cloud Computing Network

2020 ◽  
Vol 8 (5) ◽  
pp. 3193-3196
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Response Time ◽  
Task Scheduling ◽  
Waiting Time ◽  
Threshold Values ◽  
Specific Time ◽  
Required Quality ◽  
Cloud Resources

Task scheduling in cloud is the process of allocating a resource to a task at specific time. The allocation of limited cloud resources to large number of tasks to satisfy the required quality of service is the key challenge in cloud. Allocation of a resource with less capability to a task increases the response time, makespan of the task and waiting time of the entire tasks in the waiting queue. This problem will result to an unsatisfied Quality of Service. In this paper we proposed an efficient task scheduling that uses three threshold values to specify the resource to be allocated to a task at a given time. This method ensures that a capable resource is allocated to task such that the response time and makespan of the all task are minimized. The proposed method was simulated using CloudSim and the result shows a better response time and makespan than the well known Min-Min and Max-Min Method.

scholarly journals An Approach towards Development of a Migration enabled Improved Datacenter Broker Policy

2019 ◽  
Vol 4 (3) ◽  
pp. 112-124
Author(s):  
Sourav Banerjee ◽  
Debashis Das ◽  
Ayan Kundu ◽  
Saptarshi Pal ◽  
Utpal Biswas
Keyword(s):  
Cloud Computing ◽  
Quality Of Service ◽  
Waiting Time ◽  
Load Capacity ◽  
Cloud Service ◽  
Turnaround Time ◽  
Cloud Service Provider ◽  
Allocation Policy ◽  
Critical Issues

Cloud computing has left its remarkable note on the computing world over the last few years. Through its effectiveness, litheness, scalability & availability cloud computing has changed the nature of computer system deployment. The Quality of Service (QoS)of a cloud service provider (CSP) is an important element of research interest which includes different critical issues such as proper load, minimization of waiting time, turnaround time, makespan and suppressing the wastage of bandwidth of the system. The Datacenter Broker (DCB) policy help assigning a cloudlet to a VM. In the present study, we proposed an algorithm, i.e., Migration enabled Cloudlet Allocation Policy (MCAP) for allocation of cloudlets to the VMs in a Datacenter by taking into account the load capacity of VMs and length of the cloudlets. The experimental results obtained using CloudSim toolkit under extensive loads that establish performance supremacy of MCAP algorithm over the existing algorithms.

scholarly journals STANDAR PELAYANAN MINIMAL WAKTU TUNGGU DI PENDAFTARAN PASIEN RAWAT JALAN DI RSUD PETALA BUMI PROVINSI RIAU

1930 ◽  
Vol 8 (01) ◽  
pp. 57-61
Author(s):  
Henny Maria Ulfa
Keyword(s):  
Quality Of Service ◽  
Medical Record ◽  
Waiting Time ◽  
Service Time ◽  
Medical Officer ◽  
Education And Training ◽  
Minimum Standards ◽  
Descriptive Approach ◽  
And Training

The waiting time is the time it takes from the patient to register until the medical record file is sent to the polyclinic. RSUD Petala Bumi Provinsi Riau for service still not good because it still uses manual system. Minimum standards of service time wait patients in outpatient registrationin RSUD PetalaBumiProvinsi Riau.Research methodology used in this research is descriptive approach with a combination of quantitative and qualitative, samples to this research a total of 97 patients. Produce research waiting time in registration outpatients included in a category slow(≥ 10 minute) as much as 66 patients (68,0 %)While in the category of fast(≤ 10 minute) 31 patients (31,9 %). From 97 outpatients at the hospital Petala Bumi,riau.Seen from workload by officers additional resources is needed, especifically at distribution so that the medical officerno longer working concurrently again, education and training record medical officer has already been done, SPO in TPPRJ already exists but not run optimally, and facilities in unit medical record hospital in Petala Bumi Riau has been sufficient. Advice on this research is should be increased again the quality and quantity of the of officer so that patient do not wait longer in registration of outpatient. For medical officers are expected to perform their duties in accordance with SOPs that have been established so as to increase the value of productivity so that patient services faster and can improve the quality of service in TPPRJ.

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