Positive Customers Research Articles

Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime

Matalytski, Mikhail Analysis of the queueing network with a random bounded waiting time of positive and negative customers at a non-stationary regime/M. Matalytski, V. Naumenko // Jornal of Applied Mathematics and Computational Mechanics.- 2017 .- Т.16. - № 1.- С.97-108 Статья

An M/G/1 retrial G-queue with optional re-service, impatient customers, multiple working vacations and vacation interruption

In this work, we consider a single server retrial queueing system with multiple working vacations and vacation interruption, where the regular busy server is subjected to breakdown due to the arrival of negative customers. After the completion of regular service the positive customers may demand re-service of the previous service without joining the orbit or may leave the system. When the orbit becomes empty at service completion instant for a positive customer; the server goes for multiple working vacations. The steady state probability generating function for the system size and orbit size are obtained by using the method of supplementary variable technique. Some important system performance measures and the mean busy period are obtained. The conditional stochastic decomposition law is shown for good for this model. Finally, the effects of various parameters on the system performance are analysed numerically.

An M/G/1 retrial G-queue with optional re-service, impatient customers, multiple working vacations and vacation interruption

In this work, we consider a single server retrial queueing system with multiple working vacations and vacation interruption, where the regular busy server is subjected to breakdown due to the arrival of negative customers. After the completion of regular service the positive customers may demand re-service of the previous service without joining the orbit or may leave the system. When the orbit becomes empty at service completion instant for a positive customer; the server goes for multiple working vacations. The steady state probability generating function for the system size and orbit size are obtained by using the method of supplementary variable technique. Some important system performance measures and the mean busy period are obtained. The conditional stochastic decomposition law is shown for good for this model. Finally, the effects of various parameters on the system performance are analysed numerically.

A repairable <i>M</i><SUP align="right">[<i>X</i>]</SUP>/<i>G<SUB align="right">k</i>/1 feedback retrial <i>G</i>-queue, balking and reneging, search of customers with vacation

This paper deals with the steady state analysis of unreliable batch arrival feedback retrial queue with k stages of service and Bernoulli vacation policy, where the busy server is subjected to breakdown due to the arrival of negative customers. After completion of the ith, (i = 1, 2, ..., k) stage of service, the customer may have the option to choose (i + 1)th stage with probability θi, with probability pi may join into orbit as feedback customer or may leave the system with probability 1 – θi – pi = qi, if the service is successful. The server takes Bernoulli vacation after the service completion. Arriving positive customers may balk (or renege) the system at particular times. After completion of the service, vacation or repair, the server searches for the customer in the orbit or remains idle. The system is solved by using the supplementary variable method and numerical illustrations are discussed.

Finding the probabilistically-temporal characteristics of Markov G-network with batch removal of positive customers

Matalytski, Mikhail Finding the probabilistically-temporal characteristics of Markov G-network with batch removal of positive customers/M. Matalytski, V. Naumenko, D. Kopats // Jornal of Applied Mathematics and Computational Mechanics.- 2016 .- Т.15. - № 4.- С.1-12 Статья

The country-of-origin lie: impact of foreign branding on customers’ willingness to buy and willingness to pay when the product’s actual origin is disclosed

If you think about the last television commercial for an Italian pasta brand you have seen, are you sure it is really Italian? In many cases, especially in the food sector, neither the company nor the product originate from the advertised country, meaning that the company is pursuing a foreign branding strategy and is trying to benefit from positive stereotypes customers have about the specific foreign country. By collecting both quantitative and qualitative data through a point-of-sale intercept survey, this article assesses the impact of alleged origins on customers’ willingness to buy (WTB) and willingness to pay (WTP) if the actual origin is disclosed. The sample consisted of 200 German customers who were asked to answer questions related to one of two hedonic products they had just bought. It is empirically shown that foreign branding has a positive impact on the brand’s performance. However, as soon as customers find out that they were misled with regard to the origin of the product, both their WTB and their WTP decrease. This study contributes to the knowledge on the role of products’ origins on customers’ WTB and WTP. In contrast to the vast majority of the studies in this field, the communicated origin of the product is based on a foreign branding strategy and not on the product’s actual origin. Consequently, it was possible to manipulate within-subject variables by disclosing the actual origin of the product. The results of our study suggest that foreign branding may be a successful strategy for companies to increase their customers’ WTB and WTP. At the same time, our results raise concerns about the suitability of foreign branding as a long-term marketing strategy, unless a company can successfully maintain its foreign image. Future research opportunities include the choice of consumers with a different cultural background, of other hedonic products or of utilitarian products.

N-policy for $${M}^{{x}}/\hbox {G}/1$$ M x / G / 1 Unreliable Retrial G-Queue with Preemptive Resume and Multi-services

Bulk arrival retrial G-queue with impatient customers and multi-services subject to server breakdowns has been analyzed. The system allows the arrival of two types of customers: positive customers and negative customers in the system. The negative customers make the server fail if they find the server in busy state, whereas positive customers are served if the server is idle otherwise they join the virtual pool of customers called orbit. The customers from the retrial orbit try their chance again for the service. The customers have the option of obtaining more than one service. Moreover, the customers are impatient and may renege from the system with probability \((1-r)\). The server is sent for repair as soon as it breakdowns; after repair, the service process starts again. Also, the server has the provision to initiate the service when there are N customers accumulated in the system. Using supplementary variables technique and generating functions, various performance measures like reliability indices and long run probabilities have been obtained.

G-NETWORKS OF UNRELIABLE NODES

We study G-networks with positive and negative customers and signals. We consider two types of signals: they can make a subnetwork of queues operational or down. As signals are sent by queues after a customer service completion, one can model the availability of a sub-network of queues controlled by another network of queues. We prove that under classical assumptions for G-networks and assumptions on the rerouting probabilities when a subnetwork is not operational, the steady-state distribution, if it exists, has a product form steady state distribution. Some examples are given.

Efficient Opinion Summarization on Comments with Online-LDA

Customer reviews and comments on web pages are important information n our daily life. For example, we prefer to choose a hotel with positive comments rom previous customers. As the huge amounts of such information demonstrate the haracteristics of big data, it places heavy burdens on the assimilation of the customercontributed pinions. To overcoming this problem, we study an efficient opinion ummarization approach for a set of massive user reviews and comments associated ith an online resource, to summarize the opinions into two categories, i.e., positive nd negative. In this paper, we proposed a framework including: (1) overcoming the ig data problem of online comments using the efficient online-LDA approach; (2) electing meaningful topics from the imbalanced data; (3) summarizing the opinion f comments with high precision and recall. This framework is different from much f the previous work in that the topics are pre-defined and selected the topics for etter opinion summarization. To evaluate the proposed framework, we perform the xperiments on a dataset of hotel reviews for the variety of topics contained. The esults show that our framework can gain a significant performance improvement on pinion summarization.

About one method of finding expected incomes in HM-queueing network with positive customers and signals

About one method of finding expected incomes in HM-queueing network with positive customers and signals

Customer-to-customer interactions on customer citizenship behavior

This study examines how both positive and negative customer-to-customer interactions (CCIs) simultaneously influence customer citizenship behavior. Specifically, we posit that (1) positive CCI and dysfunctional customer behavior (negative CCI) influence customers’ affection with service, (2) customers’ affection with service leads to positive customer citizenship behavior, and (3) service providers’ relationship investment moderates the relationships between positive (negative) CCI and customers’ affection with service. The study sample consisted of 362 customers at a major public recreation center in South Korea. We used latent moderated structural equation modeling and the bootstrapping technique to test the proposed hypotheses. The results offer full support for the expected differential effects of positive CCI and dysfunctional customer behavior on customer citizenship behavior, and provide important implications for research and practice.

Batch arrival retrial G-queue with orbital search and non-persistent customers

An MX/G/1 retrial G-queue with orbital search and unreliable server is investigated in this paper. Arrivals of positive customers form a compound Poisson process, and one of the positive customers receives service immediately if the server is free upon their arrivals and others may enter a retrial orbit and try their luck after a random time interval. Arrival of negative customer removes the positive customer being in service from the system and causes the server breakdown. After a completion of a service or a repair, the server searches for the customers in the orbit or remains idle. By using the supplementary variables method, we obtain the steady-state solutions for the system measures. The effects of various parameters on the system performance are analyzed numerically.

Queue Length and Busy Period Analysis for the M/G/1 Queue with Negative Arrivals

In this paper, the queue lengths and the busy period lengths of the M/G/1 queueing systems with negative arrivals are analyzed. Two types of negative arrivals are considered. One type is negative customers and the other type is disasters. When a negative customer arrives to a system, one positive customer is removed if the number of positive customers is more than one. In particular, we assume the RCH (Removal of a Customer at the Head) type of negative customers which represent a kind of work-canceling signal to the positive customer in service. On the other hand, disasters get rid of all customers in the system. In this paper, the Probability Generating Function (PGF) of the stationary queue length and busy period length of M/G/1 queue with both negative customers and disasters are derived.

Analysis of Discrete-time queues with correlated arrivals, negative customers and server interruption

This paper analysis a discrete time infinite capacity queueing system with correlated arrival and negative customers served by two state Markovian server. Positive customers are generated according to the first order Markovian arrival process with geometrically distributed lengths of On periods and Off periods. Further, the geometrically distributed arrival of negative customer removes the positive customers is any, and has no effect when the system is empty. The server state is a two state Markov chain which alternate between Good and Bad states with geometrically distributed service times. Closed-form expressions for mean queue length, unfinished work and sojourn time distributions are obtained. Numerical illustrations are also presented.

Analysis of an M[X]/G/1 unreliable retrial G-queue with orbital search and feedback under Bernoulli vacation schedule

In this paper, we consider a batch arrival retrial queue with feedback under Bernoulli vacation schedule, where the busy server is subjected to breakdown due to the arrival of negative customers. Any arriving batch of positive customers finds the server free, one of the customers from the batch enters into the service area and the rest of them join into the orbit. Arriving positive customers may balk (or renege) the system at particular times. After completion of service the unsatisfied positive customer may rejoin into the orbit to get another regular service as feedback customer. The server takes Bernoulli vacation after service completion of positive customers. After completion of service (if the server is not taking vacation), repair or vacation the server searches for the customers in the orbit or remains idle. The steady state probability generating function for the system size is obtained by using the supplementary variable method. Some system performance measures, reliability measures and stochastic decomposition law are discussed. Finally, some numerical examples and cost optimization analysis are presented.

English

Batch arrival retrial queue with positive and negative customers is considered. If the server is idle upon the arrival of a batch, one of the customers in the batch receives service immediately and others join the orbit. If the server is busy, all the customers join the orbit. The arrival of negative customer brings the server down and removes the customer in service from the system. The server is subject to random breakdown while it is working. Using supplementary variable technique, expected number of customers in the orbit and expected number of customers in the system are derived. Stochastic decomposition property is established. Some special cases are discussed and numerical results are presented.

Steady state analysis of batch arrival feedback retrial queue with two phases of service, negative customers, Bernoulli vacation and server breakdown

In steady state, a batch arrival feedback retrial queue with negative customers has been discussed. Any arriving batch of positive customers finds the server is free, one of the customers from the batch enters into the service area and the rest of them join into the orbit/retrial group, where the server provides two essential phases of service to each positive customer. The negative customer, arriving during the service time of a positive customer, will remove the positive customer in-service and the interrupted positive customer either enters into the orbit with probability θ or leaves the system with probability 1-θ. The busy server may breakdown at any instant and the service channel will fail for a short interval of time. The steady state probability generating function for the system size is obtained by using the supplementary variable method. Numerical illustrations are analysed to see the effect of system parameters.

M/M/1 Retrial queueing system with negative arrival under non-preemptive priority service

Consider a single server retrial queueing system with negative arrival under non-pre-emptive priority service in which three types of customers arrive in a poisson process with arrival rate λ1 for low priority customers and λ2 for high priority customers and λ3 for negative arrival. Low and high priority customers are identified as primary calls. The service times follow an exponential distribution with parameters μ1 and μ2 for low and high priority customers. The retrial and negative arrivals are introduced for low priority customers only. Gelenbe (1991) has introduced a new class of queueing processes in which customers are either positive or negative. Positive means a regular customer who is treated in the usual way by a server. Negative customers have the effect of deleting some customer in the queue. In the simplest version, a negative arrival removes an ordinary positive customer or a random batch of positive customers according to some strategy. It is noted that the existence of a flow of negative arrivals provides a control mechanismto control excessive congestion at the retrial group and also assume that the negative customers only act when the server is busy. Let K be the maximumnumber of waiting spaces for high priority customers in front of the service station. The high priorities customers will be governed by the Non-preemptive priority service. The access from the orbit to the service facility is governed by the classical retrial policy. This model is solved by using Matrix geometric Technique. Numerical study have been done for Analysis of Mean number of low priority customers in the orbit (MNCO), Mean number of high priority customers in the queue(MPQL),Truncation level (OCUT),Probability of server free and Probabilities of server busy with low and high priority customers for various values of λ1 , λ2 , λ3 , μ1 , μ2 ,σ and k in elaborate manner and also various particular cases of this model have been discussed.

The Effect of Brand Identity on Customer Behavioral Approach in Banking

The goal of present research is to determine the effect of Brand Identity on customers’ loyalty. In this research, the effect of Brand Identity and its dimensions including .Communication Capability of Brand, Development & Expansion Capability of Brand , conformity and innovation of brand, brand meaningfulness , brand positive mental imagination capability on customers’ loyalty and its dimensions including behavioral approach and attitudinal approach . The present research is of survey type in terms of method and analytical in terms of type and applied in terms of goal. The research statistical population is Sepah Bank customers of Ahar city (Iran). The sampling process is clustering method and the sample size has been obtained using Cochran formula with 385 people. The results of research show that there is a direct and significant relationship between Brand Identity and Customer Behavioral Approach in Banking and among Brand Identity dimensions ,there is no significant relationship between communication capability with customers’ behavioral approach in Banking , and there is a direct and significant relationship between Development & Expansion Capability of Brand, - Conformity & Innovative capability of Brand, brand meaningfulness, brand positive mental imagination and customers’ behavioral approach and factors affecting customer behavioral approach include brand positive mental imagination .

M/M/1 retrial queue with working vacations and negative customer arrivals

The M/M/1 retrial queue with working vacations and negative customers is introduced. The arrival processes of positive customers and negative customers are Poisson. Upon the arrival of a positive customer, if the server is busy the customer would enter an orbit of infinite size and the orbital customers send their requests for service with a constant retrial rate. The single server takes an exponential working vacation once customers being served depart from the system and no customers are in the orbit. Arriving negative customers kill a batch of the positive customers waiting in the orbit randomly. Efficient methodology to compute the stationary distribution for this new queue is developed and presented.