Analysis of the Queuing System for the Indonesian Islamic Bank (BSI) Bengkulu Branch

The purpose of this study is to determine the average level of customer arrivals and the average service time of customers in the queue. The analytical model used in this study is a multi-channel single-phase queuing theory analysis with a mathematical formula. The queuing process is a process related to the arrival of the customer to a queuing system, then waiting in the queue until the waiter selects the customer according to the service discipline, and finally the customer leaves the queuing system after the service is finished. At Bank Syariah Indonesia (BSI) KC Bengkulu S. Parman 1 there are 5 tellers provided to serve customers who will make deposits, withdrawals and cash transfers. Queues that occur at the optimal service level can be obtained by the performance of the queuing system with the calculation results, namely, the average number of customers in the queue (nq) 31.88 customers, customers in the total system 33.08 people, the average time in the queue 0, 000767 and the total system time is 0.034097 or 2 minutes. Thus, customers do not take too long to make transactions. With the number of tellers as many as five people, there is a long waiting time for customers (Wq) in the queue, which is 0.02777 hours or 2 minutes and the average number of customers in the queue (Ls) is 2 people..

Evaluation of firewall performance when ranging a filtration rule set

This article is a continuation of a number of works devoted to evaluation of probabilistic-temporal characteristics of firewalls when ranging a filtration rule set. This work considers a problem of the decrease in the information flow filtering efficiency. The problem emerged due to the use of a sequential scheme for checking the compliance of packets with the rules, as well as due to heterogeneity and variability of network traffic. The order of rules is non-optimal, and this, in the high-dimensional list, significantly influences the firewall performance and also may cause a considerable time delay and variation in values of packet service time, which is essentially important for the stable functioning of multimedia protocols. One of the ways to prevent decrease in the performance is to range a rule set according to the characteristics of the incoming information flows. In this work, the problems to be solved are: determination and analysis of an average filtering time for the traffic of main transmitting networks; and assessing the effectiveness of ranging the rules. A method for ranging a filtration rule set is proposed, and a queuing system with a complex request service discipline is built. A certain order is used to describe how requests are processed in the system. This order includes the execution of operations with incoming packets and the logical structure of filtration rule set. These are the elements of information flow processing in the firewall. Such level of detailing is not complete, but it is sufficient for creating a model. The QS characteristics are obtained with the help of simulation modelling methods in the Simulink environment of the matrix computing system MATLAB. Based on the analysis of the results obtained, we made conclusions about the possibility of increasing the firewall performance by ranging the filtration rules for those traffic scripts that are close to real ones.

MMAP/(PH,PH)/1 Queue with Priority Loss through Feedback

In this paper, we consider two single server queueing systems to which customers of two distinct priorities (P1 and P2) arrive according to a Marked Markovian arrival process (MMAP). They are served according to two distinct phase type distributions. The probability of a P1 customer to feedback is θ on completion of his service. The feedback (P1) customers, as well as P2 customers, join the low priority queue. Low priority (P2) customers are taken for service from the head of the line whenever the P1 queue is found to be empty at the service completion epoch. We assume a finite waiting space for P1 customers and infinite waiting space for P2 customers. Two models are discussed in this paper. In model I, we assume that the service of P2 customers is according to a non-preemptive service discipline and in model II, the P2 customers service follow a preemptive policy. No feedback is permitted to customers in the P2 line. In the steady state these two models are compared through numerical experiments which reveal their respective performance characteristics.

Service Research Priorities: Managing and Delivering Service in Turbulent Times

Transformative changes in the societal and service context call out for the service discipline to develop a coherent set of priorities for research and practice. To this end, we utilized multiple data sources: surveys of service scholars and practitioners, web scraping of online documents, a review of published service scholarship, and roundtable discussions conducted at the world’s foremost service research centers. We incorporated innovative methodologies, including machine learning, natural language processing, and qualitative analyses, to identify key service research priorities that are critical to address during these turbulent times. The first two priorities— technology and the changing nature of work and technology and the customer experience—focus on leveraging technology for service provision and consumption. The next two priorities— resource and capability constraints and customer proactivity for well-being—focus on responding to the changing needs of multiple stakeholders. Further, we identified a set of stakeholder-wants from the literature and include research questions that tie key stakeholder-wants to each of the four priorities. We believe the set of research priorities in the present article offer actionable ideas for service research directions in this challenging environment.

On Determining the Concept of “Disciplinary Liability of Police Officers”

The essence of legal liability in labor law has been clarified. Scientific approaches to the definition of “disciplinary liability” have been studied. The purpose of disciplinary liability of employees has been defined. The author has studied the norms of the Law of Ukraine “On the Disciplinary Statute of the National Police of Ukraine” regarding the procedure for applying disciplinary liability to police officers. Features of disciplinary liability of police officers have been determined. First of all, disciplinary liability of police officers is a type of special disciplinary liability. Secondly, only a police officer is subject to disciplinary action. Thirdly, disciplinary sanctions are applied by managers at various levels to the relevant regulatory defined range of police officers. Fourth, the purpose of disciplinary liability of police officers is to ensure the compliance with police service discipline, to prevent from committing disciplinary offenses by police officers, to educate police officers’ conscious attitude to the service, to create the necessary conditions for effective operation of police units. Fifth, disciplinary offense is the basis for applying disciplinary liability to police officers. Sixth, the occurrence of negative consequences, which are manifested in the imposition of disciplinary sanctions provided by the Law of Ukraine “On the Disciplinary Statute of the National Police of Ukraine”. The author has suggested own definition of the term of “disciplinary liability of police officers”, which means the application of disciplinary sanctions under the Law of Ukraine “On the Disciplinary Statute of the National Police of Ukraine” to a police officer who has committed a disciplinary offense.

Method of Markovian summation for study the repeated flow in queueing tandem M|GI|∞ → GI|∞

The paper presents a mathematical model of queueing tandem M|GI|∞ → GI|∞ with feedback. The service times at the first stage are independent and identically distributed (i.i.d.) with an arbitrary distribution function B1(x). Service times at the second stage are i.i.d. with an arbitrary distribution function B2(x). The problem is to determine the probability distribution of the number of repeated customers (r-flow) during fixed time period. To solve this problem, the Markov summation method was used, which is based on the consideration of Markov processes and the solution of the Kolmogorov equation. In the course of the solution, the so-called local r-flow was studied — the number of r-flow calls generated by one incoming customer received by the system. As a result, an expression is obtained for the characteristic probability distribution function of the number of calls in the local r-flow, which can be used to study queuing systems with a similar service discipline and non-Markov incoming flows. As a result of the study, an expression is obtained for the characteristic probability distribution function of the number of repeated calls to the system at a given time interval during non-stationary regime, which allows one to obtain the probability distribution of the number of calls in the flow under study, as well as its main probability characteristics.

Работа по укреплению служебной дисциплины и законности среди личного состава как вид морально-психологического обеспечения деятельности органов внутренних дел

In the article, the authors explore issues related to the actual problems of work to strengthen service discipline and legality among the personnel as one of the types of moral and psychological support for the activities of internal affairs bodies. Analyzing the current legal norms in this area, the authors consider the main directions and tasks of the designated work, as well as formulate and justify a number of proposals for improvement, efficiency of work to strengthen official discipline and the rule of law in the internal affairs bodies