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.
This paper displays the design and application of a model that simulates the queuing system of a fictional post office. Starting point for solving more complicated optimization tasks is to create a system model that consists of elements of reality and the relationships between these elements. The key part of the paper includes the model of a queuing system of a post office created in Anylogic simulation software. The model of the post office displays post office with 5 postal counters, a certain input flow and a certain service time with an exponential probability distribution. The model also includes statistics and cost calculation.
This paper presents an optimization analysis of a queuing system for a particular post office as a tool to increase system reliability. The consideration of system reliability in terms of queuing system failures is very relevant. One way to increase reliability is to analyse the system and its parameters in order to identify its most critical flaws. We used the chi-squared goodness-of-fit test based on the validation of a null hypothesis over an alternative hypothesis. The purpose of the test was to verify the correspondence of the measured data with a theoretical probability distribution. Measurements of relevant data were performed on the specific post office that represented the subject of our research. This approach proved to be a powerful tool in system analysis and optimization. The results of such an analysis can serve as the basis for the modelling of queuing systems.
The paper displays cost analysis of queuing system of particular post office. The selected Post Office is Zilina 1 Post Office in Slovakia. Post office Zilina 1 provides service to almost 4 000 companies and 13 559 households. [1] This paper considers two types of costs. There are costs of services which are associated with increasing or decreasing system capacity. Additional costs are the costs of rejected customers which are costs associated with deciding customers to leave the post office. Aim of this article to indicate the methodology of costs allocation of queuing system of post office and display the costs calculation method of rejected customers. Primary research using the questionnaire and the simulation method proved to be an appropriate tool in this analysis. The results of this paper show the need to take into account the substitutability of the individual services provided at the post office and the repeated arrival of the rejected customer. In the case that a rejected customer requests a service provided also by other postal operators, the post office can deal with loss of customer.
Customer´s preferences in the choice of a particular device is in many cases due to the attractiveness of this device. This means that customers are willing to travel longer distances to larger business centres with higher attractiveness. This is also the case for postal offices. Because postal operators are trying to maintain their customers, they also have to respond to these criteria that determine the attractiveness of the device providing of the required postal services. However, the attractiveness of the device can be perceived differently by customers. Therefore, the aim of the article is to find out these attractiveness criteria for individual post office customers, which in the future can help in selecting sites for the next postcreation or revocation of an existing mail.
If we want to analyze a real system with a large number of input data, it is very convenient to determine a probability distribution that best fits to given input data. There are many statistical methods to determine the correct probability distribution and one of them is Chi-Square Goodness of Fit Test. This statistical test can be also used to find out a probability distribution of time intervals between arrivals of customers at post office. Intervals between arrivals of customers occur in continuous time and therefore we consider continuous probable distributions.
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