Using queuing theory to solve the problem of momentum to issuing the driving licenses in Dohuk city

2019 ◽  
Vol 8 (4) ◽  
pp. 136
Author(s):  
Nabeel G. Nacy ◽  
Samaher T. Ibrahim

Queuing theory is a mathematical study of so-called queues or waiting lines. This phenomenon is common in daily life as in gas stations, airports, repair workshops and other common everyday examples. Waiting occurs when service demand is higher than service system power. Due to the difficulty in predicting the number of customers arriving and the time taken by the customer at the service station, the process of obtaining performance metrics is necessary before the queuing systems are implemented. When the service system power is too high, the system is charged at a high cost. Conversely, when the system power is low (insufficient for the customer service), the waiting time in the queue increases, As well as loss of order to its customers. Therefore, attention has been drawn to the so-called theory of waiting lines to solve such problems to reach a balance in the work of the system. This research aims to overcome the difficulties experienced by citizens in obtaining market holidays on time and reduce waste in time and the cost of waiting. The results were as shown in tables (l) to (6) of the city center and according to the distribution of access and service of the model used (G / G / C). We note in the Poisson distribution with exponential that the average number of customers in the system Ls = 5.527), which is approximately (5 customers), which is waiting in the system. We note in the previous distribution itself that the average number of customers in the waiting queue (customer 2.1924 = L q) is approximately 2 (customer) which is waiting in queue. The Poisson distribution with the exponential is that the average time spent by the customer in the system (minute W s = 16.5772). Note in the Poisson distribution with the exponential that the average time spent by the customer in the waiting queue is (minute W = 6.5772) We note in the Poisson distribution with exponential that The average number of customers in the system (customer Ls = 4.3258) is about (4 customers) which is waiting in the system. We see in the previous distribution itself that the average number of customers in the queue (customer 2.0 = L q) ) There is no waiting in the queue. The Poisson distribution with exponential is the average time spent by the customer in the system (min W s = 11.3333). We note in the Poisson distribution with exponential that the average time spent by the customer in the waiting queue is (min W q = 4.6666)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Felix Blank

PurposeRefugee camps can be severely struck by pandemics, like potential COVID-19 outbreaks, due to high population densities and often only base-level medical infrastructure. Fast responding medical systems can help to avoid spikes in infections and death rates as they allow the prompt isolation and treatment of patients. At the same time, the normal demand for emergency medical services has to be dealt with as well. The overall goal of this study is the design of an emergency service system that is appropriate for both types of demand.Design/methodology/approachA spatial hypercube queuing model (HQM) is developed that uses queuing-theory methods to determine locations for emergency medical vehicles (also called servers). Therefore, a general optimization approach is applied, and subsequently, virus outbreaks at various locations of the study areas are simulated to analyze and evaluate the solution proposed. The derived performance metrics offer insights into the behavior of the proposed emergency service system during pandemic outbreaks. The Za'atari refugee camp in Jordan is used as a case study.FindingsThe derived locations of the emergency medical system (EMS) can handle all non-virus-related emergency demands. If additional demand due to virus outbreaks is considered, the system becomes largely congested. The HQM shows that the actual congestion is highly dependent on the overall amount of outbreaks and the corresponding case numbers per outbreak. Multiple outbreaks are much harder to handle even if their cumulative average case number is lower than for one singular outbreak. Additional servers can mitigate the described effects and lead to enhanced resilience in the case of virus outbreaks and better values in all considered performance metrics.Research limitations/implicationsSome parameters that were assumed for simplification purposes as well as the overall model should be verified in future studies with the relevant designers of EMSs in refugee camps. Moreover, from a practitioners perspective, the application of the model requires, at least some, training and knowledge in the overall field of optimization and queuing theory.Practical implicationsThe model can be applied to different data sets, e.g. refugee camps or temporary shelters. The optimization model, as well as the subsequent simulation, can be used collectively or independently. It can support decision-makers in the general location decision as well as for the simulation of stress-tests, like virus outbreaks in the camp area.Originality/valueThe study addresses the research gap in an optimization-based design of emergency service systems for refugee camps. The queuing theory-based approach allows the calculation of precise (expected) performance metrics for both the optimization process and the subsequent analysis of the system. Applied to pandemic outbreaks, it allows for the simulation of the behavior of the system during stress-tests and adds a further tool for designing resilient emergency service systems.


2016 ◽  
Vol 2 (3) ◽  
pp. 89 ◽  
Author(s):  
Anas Mutakin ◽  
Musa Hubeis

The objectives of this research were (1) Assess the supply chain structure of cement products in PT Indocement Induk Prakarsa (ITP) Tbk; (2) Conduct performance measurement of supply chain management (SCM) for cement products in PT ITP Tbk approach Supply Chain Operations Reference (SCOR) model version 9.0; (3) Provide alternatives solution to the problem after the measurement is known along with suggestions of measurement and analysis activities of SCM at PT ITP Tbk. Calculation of performance metrics level 1 is the perfect order fulfillment (POF) 82.43%, order fulfillment cycle time (OFCT) 2 days, the cost of good sold (COGS) 53.84% and cash-to-cash cycle time (CTCCT) 53 days. Opportunity value that is calculated using the lost opportunity measure (LOM) is a POF registration COGS Rp 552,146,310,636 and Rp 127,956,658,590. The mapping level 2 shows PT ITP Tbk have performance lowest deliver process, because the expedition and transportation of cement is less effective and efficient in sending customer orders. Mapping level 3 shows in detail the process of delivering PT ITP Tbk, so it can answer why deliver a low performance. From the results of the overall SCM performance PT ITP Tbk good enough, but needs to be improved on the expedition and the distribution of transportation to reach the target business objectives set PT ITP Tbk, which is improving customer service and increase profits.


2018 ◽  
Vol 6 ◽  
pp. 81-87
Author(s):  
Silvia Dutková

The paper displays a system optimization strategy that leads to cost savings for a particular post office. It involves the queuing theory used as a tool to optimize system of incoming customers passing through service areas in order to satisfy their need Using characteristics of the system, it is possible to determine the number of service compartments that are serving during the opening time so that the system is able to manage a number of incoming customers while waiting time remains acceptable for customers. The cost savings from optimizing the number of service compartments mainly relate to the wages of post office employees. By optimizing the number of working compartments according to the intensity of arriving customers, the study depicts the number of compartments needed to fulfill customer service at given time interval. Using this method, a manager can also optimize the working schedule of the employees operating in the  post office compartments. The aim of this paper is to analyze the queuing system of the Bytca post office in Slovak and useknowledge from the analysis to optimize the number of compartments and thus reduce the operating costs of the post office.


Liquidity ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 53-63
Author(s):  
Yanti Budiasih

Service systems, particularly those related to customer service, an institution faced with the problem of how to provide the best service to the customer. At a service system, generally a queue of customers who ask to be served. In operations research theory, there is one device that can be used to solve the problems of the queue, the queue model. This study aims to find answers to the problems faced by a queue of supermarkets in Depok, namely PSFJ. In that context too, the issue that always arises is whether these facilities economically sufficient, if no improvement system then the cost will be lower or not.


Author(s):  
Agustian Suseno ◽  
Jauhari Arifin

High mobility in the era of globalization has resulted in the service system in a company being demanded to be faster to meet customer needs. Responsiveness or responsiveness is one aspect of service quality that serves as a benchmark in achieving customer satisfaction. Banking as a financial service in dealing with customers is closely related to the speed of services provided to customers, sometimes whether or not fast customers are constrained by unpredictable queuing times. BRI Bank as the bank that has the largest units that are spread almost all over Indonesia, BRI Bank has been committed to creating excellent service in serving its customers, so that the queuing system in a banking service is crucial to be noticed so that customers can be well served. The purpose of this study was to analyze the optimal teller service queue system for minimizing queue waiting time using queuing theory methods. Data collection with a determined time-based observation and recording of activities that occur directly by researchers to be carried out at BRI Cibadak Branch, Sukabumi. The data to be taken is the time to the teller the service queue system which is the time between the arrival of the customer and the time of customer service. The results showed an optimal number of tellers of 6 with an average server utilization of 67%, an average number in the queue of 0.57 customers, an average number in the system of 4.57 customers, an average time in the queue of 0.01 hours and an average time in the system of 0.11 hours.


2014 ◽  
Vol 513-517 ◽  
pp. 2086-2089
Author(s):  
Qiang Chen ◽  
Xin Ming Xiang

The core ideal of IT customer service management is that all business activities of the enterprise shall base on fulfilling with customers needs, and treat providing products or services tailored to customers needs as the enterprises obligation, and treat customers satisfaction as the enterprises objective. By referencing to international standard theory in ISO20000 and combining with the real work situation of IT customer service, this article analyses and gives the overall structure and main contents of IT customer service system, and aimed at planning service catalogues, service specifications, service procedures etc., so to ensure to provide safe, stable and high quality IT customer services to customers to meet mutual agreements, and to increase the cost efficiency of IT resource investment, and to improve service efficiency and customer satisfaction.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S317-S317
Author(s):  
Kartavya J Vyas

Abstract Background With nearly three-fourths of the U.S. population isolated in their homes between early March and the end of May, almost all of whom regularly watch television (TV), it was no surprise that companies began to purchase airtime on major television networks to advertise (ad) their brands and showcase their empathy with the populace. But how would the coronavirus disease 2019 (COVID-19) epidemic curve have changed had these same dollars been allocated to proven preventive interventions? Methods Performance and activity metrics on all COVID-19 related TV ads that have aired in the U.S. between February 26th and June 7th, 2020, were provided by iSpot.tv, Inc., including expenditures. COVID-19 incidence and mortality data were collected from the Centers for Disease Control and Prevention (CDC). Descriptive statistics were performed to calculate total TV ad expenditures and other performance metrics across industry categories. Leveraging a previously published stochastic agent-based model that was used to assess the cost-effectiveness of non-pharmaceutical interventions to control COVID-19, the number of cases that would have been prevented had these same dollars been used for preventive interventions was calculated using cost-effectiveness ratios (CERs), the cost divided by cases prevented. Results A total of 1,513 companies purchased TV airtime during the study period, totaling approximately 1.1 million airings, 215.5 billion impressions, and $2.7 billion in expenditures; most of the expenditures were spent by the restaurant (15.9%), electronics and communications (15.4%), and vehicle (13.7%) industries. The CERs for PPE and social distancing measures were $13,856 and $29,552, respectively; therefore, had all of these TV ad dollars instead been allocated to PPE or social distancing measures, approximately 194,908 and 91,386 cases of COVID-19 may have been prevented by the end of the study period, respectively. Figure 2. COVID-19 cases prevented had TV ad expenditures been reallocated for interventions. Conclusion Americans were inundated with COVID-19 related TV ads during the early months of the pandemic and companies are now showing some signs to relent. In times of disaster, however, it is paramount that the private sector go beyond showcasing their empathy and truly become socially responsible by allocating their funds to proven prevention and control measures. Disclosures All Authors: No reported disclosures


2021 ◽  
Vol 2021 (23) ◽  
pp. 20-30
Author(s):  
Taras Pechonchyk ◽  
◽  
Vitaliy Ivanchenko ◽  

AbstractIntroduction. Effective management of road indstry is particularly important in conditions of limited funding, as it is not possible to provide adequate funding of the economic entity that has the functions of a customer service. The cost of the customer service maintenance depends directly on the compliance with applicable regulations for these works cost determination. One of the aspects that form a considerable part of the costs of customer service is the maintenance of service vehicles.Problem Statement. Road services in the regions (hereinafter RSR) are the recipients and managers of the funds from the State Budget of Ukraine that are directed for the development and maintenance of public roads of state importance, being as well the asset holders of these roads. To perform their functions, the RSR have vehicles on their balance, the use of which involves a number of costs, including fuel and lubricants, repair, maintenance, replacement of tires, etc. The most important of the steps involved in setting the costs of vehicle maintenance is the process of cost planning. Planning has to be based on the structure of the vehicle fleet (own or leased), functional responsibilities and scope of road works.Planning is carried out for vehicles on the balance of the RSR, as well as for leased vehicles. In the case of leasing, the costs mentioned above are added by the vehicles leasing costs. These costs must be forecasted, justified and performed within the approved cost estimates of the customer service expenses.Purpose. The purpose of the article is to highlight the theoretical and methodological approaches to the calculation of planned costs for the maintenance of service vehicles of the road works customer.Materials and methods. Dialectical methods of knowledge, such as analysis and synthesis of fleet composition characteristics and approaches to cost planning methods, as well as induction, were used in writing the article to explore some aspects of the process of calculating the planned cost of maintenance of the road works customer's service vehicles.Results. The study highlights and describes the main approaches to the calculation of planned costs for the maintenance of service vehicles of the road works customer. The methodology of calculation of planned costs for the maintenance of service vehicles is explored.Conclusions. The introduction of a clear methodology and analytical toolkit for calculating all necessary expenditure items for the maintenance of the road works customer's vehicles in the cost planning process will establish the implementation of a clear mechanism for calculating the planned costs of maintenance of the road works customer's vehicles. It will also provide an automated information-analytical complex for planning of cost estimates, with information entry and reporting in standard forms and possibility of prompt response to changes in fleet composition, needs for spare parts, repairs or other expenses for the maintenance of service vehicles and making changes in cost estimates.Keywords: motor vehicles, costs, cost planning, customer service, maintenance of service vehicles


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