Customer Reliability Research Articles

THE RELATIONSHIP BETWEEN SPORTS FACILITY SERVICE QUALITY AND CUSTOMER SATISFACTION OF GOR SAPARUA

Public service is a government obligation in fulfilling the rights of every citizen. To facilitate the delivery of government services to the community, a public service model is needed. One of them in public service is sports. Of course, sports play an important role in the development of human life. Public sports facilities have played a very important role in promoting physical activity and participation in recreational sports activities. Therefore, there are significant efforts to continuously improve the image of recreational sports and to pursue the improvement of the service quality of public sports facilities. Several dimensions can be measured to determine service quality on customer satisfaction, including tangibility, reliability, assurance, responsiveness, and empathy. This study aims to determine whether there is a relationship between service quality and customer satisfaction who visits Saparua Sports Hall, Bandung City. This type of research is correlational and the method used is quantitative with an accidental sampling technique with a sample size of 100 respondents. The overall result of the study is that there is a relationship between service quality and customer satisfaction who visits Saparua Sports Hall.

Reclosing of Distribution Systems for Wildfire Prevention

The risk of catastrophic wildfire has challenged our societies and impacted various industries, with imminent danger to people's lives, financial burden, and irreparable damages to the environment, among other consequences. While progressive wildfires can impact power system operation and customer reliability and resilience, the relationship between power systems and wildfires is mutual: power systems can also contribute to wildfires. Wildfire risk of power systems is related to, in particular, fault-induced ignition events that can quickly turn into wildfires. While some electric utilities are working on approaches to mitigate such risk, the need for further research, development and demonstration of novel methodologies still exists. This paper identifies, analyzes, and compares the practices that can be further employed by utilities to manage the risk and mitigate the impact of power-system generated wildfires.

The Influence of Service Quality to the Customer Satisfaction and Revisit Interest of Saporkren Ecotourism at Raja Ampat Regency

Ecotourism is a nature tourism that focuses on a protected area or area that contributes to the welfare of the local community and conservation and education for the community. Meanwhile, as much as 98.9 percent of the forest area under its management rights is still controlled by corporations and capital owners. While the rest which is no more than 1.1 percent of the area of ​​forest management rights is controlled by the community. Enhancing the role of forest areas, especially conservation forests, needs to be done to improve the quality of life of communities around the buffer zones. The purpose of this study is to identify service quality factors that influence customer satisfaction and interest in ecotourism visits in Saporkren, and formulate ecotourism marketing strategies in Saporkren. This is done to increase the number of ecotourism visitors in Saporkren, which of course will provide increased income for the community and improve the quality of life of the Saporkren people.
 
 The population in this study were visitors from the Saporkren ecotourism. The sampling technique uses accidental sampling and purposive sampling. The selected respondents were tourists who were visiting Saporkren and were found by researchers and tourists who had visited Saporkren at least once in the past one year. Endogenous variables (Y) and (Z) in this study are consumer satisfaction and interest in return visits. Exogenous variables (X) in this study are tangibles, reliability, responsiveness, assurance, and empathy. The data processing technique used in this study is Structural Equation Modeling (SEM) with LISREL 8.7 software.
 
 Based on the results of the study, only three out of five service quality factors were identified that affected customer satisfaction, namely tangible, reliability, and assurance. And in this study, consumer satisfaction is proven to affect the interest in a repeat visit. After that, from the interviews and Focus Group Discussion (FGD), a strategy that could be implemented in ecotourism in Saporkren was formulated to explore potential tourism that could be exploited in addition to birdwatching for tangibles, and to train and certify tour guides in Saporkren for reliability and assurance.

The Effect of Social Economy Internet Shopping Mall Characteristics on Customer Reliability and Loyalty: Focusing on Ethical Purchase Intention and the Moderating Effect of the Residential Area

This study empirically verified the effect of service characteristics of social economy internet shopping malls in Jeollanam-do on customer reliability and loyalty. In addition, the reasons for ethical purchase and the moderating effect of residential areas were verified. Methods/Statistical analysis: This study conducted an online survey on social economy shopping mall members, and a total of 267 people participated. As for the research methodology, the SPSS 22.0 program was used. Frequency analysis, exploratory factor analysis, reliability analysis, etc. were used for general characteristic analysis, and multiple regression analysis, mediating effect analysis, and moderation effect analysis were performed for hypothesis testing. Findings: The main results according to the hypothesis test are as follows. The system characteristics and product characteristics of the social economy online shopping mall had a significant influence on the reliability. Also, reliability had a significant influence on loyalty. It was found that reliability played a mediating role in the relationship between systemic characteristics, product characteristics and customer loyalty. In the analysis of the moderation effect using the ethical reason for purchase and the residential area as variables, it was found that it plays a role of a similar control variable. Improvements/Applications: As this study was based on a limited sample and that 'greenaum' is the only social economy online shopping mall, it may be insufficient to generalize the research results. Further research is expected to be conducted in the future.

Study on the multi-objective optimization of reliability and operating cost for natural gas pipeline network

The development of natural gas pipeline network towards larger scale and throughput has urged better reliability of the pipeline network to satisfy transportation requirement. Previously, studies of optimizing natural gas pipeline network have been mainly focused on reducing operating cost, with little concern on the reliability of pipeline network. For a natural gas pipeline network with a variety of components and complicated topology, a multi-objective optimization model of both reliability and operating cost is proposed in this study. Failure of each component and the state of pipeline network under failure conditions are taken into account, and minimum cut set method is employed to calculate the reliability of the pipeline network. The variables to be determined for the optimization objectives are the rotating speed of compressors and the opening of valves. Then the solving procedure of the proposed model is presented based on Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method and NS-saDE algorithm. The validity of the optimization model is ascertained by its application on a complicated pipeline network. The results illustrate that the optimization model can depict the relative relationship between reliability and operating cost for different throughput, by which the operation scheme with both satisfying reliability and operating cost can be obtained. In addition, the customer reliability and the impact of the failure of each pipeline on the whole network can be evaluated quantitatively to identify the consumers and pipelines of maintenance priority. The pipeline network reliability can be improved through proper monitoring and maintenance of these consumers and pipelines.

Reliability Analysis and Improvement of Debre Berhan Power Distribution Network by Using Fuzzy Logic Optimization Technique

This paper presents determination and allocation optimal number of sectionalizer switches using fuzzy based approach to improve the reliability of Berhan power distribution network. My intention to present in this study on the reliability assessment and method of improving reliability is that Debre Berhan power distribution network has frequent instructions. To improve customer reliability of power distribution system different methods can be used. Thus to complete this study MATLAB Simulink models of distribution network initial and optimal number of sectionalizer switch allocation are developed. Sheno 15kV feeder of the distribution network is selected for simulation studies to test the efficiency of the proposed approach. Simulation studies using ETAP software are carried out reliability indies of distribution network with and without optimal number of switch allocation. The simulation results show optimal allocation of sectionalizer switches improve the reliabity indices such as SAIFI, SAIDI and expected energy not supplied (EENS) and evaluates the reliability of Debre Berhan power distribution network using analytical techniques, software simulation and level of optimization achievable through the application optimal placement of switches. At the result of optimal placement of sectionalizers switches for sheno 15kV feeder SAIFI is improved by 12.76% and SAIDI are 41.61%. From the test result the proposed technique presents better interruption cost in comparison that of existing system 64,806.06$/yr. to 57,346.57$/yr. (which is 11.5% reduction) along with improvement in reliability indices and expected energy not supplied (EENS) was improved from 17828.014MWh/yr. to1533.75MWh/yr. (91.04%).

슈퍼칠링 유통을 위한 포장광어 (Paralichthys Olivaceus)의 유통기한 설정 연구

Maintaining steady and low temperature during distribution process is a key technique to inhibit microbial growth, one of the most important factors in determining the shelf life. It is possible to provide high-quality fresh products to consumers only when precise and adequate temperature control is guaranteed throughout the entire distribution process for fresh seafood. This study investigated the shelf-life of packaged fresh flounder (Paralichthys Olivaceus) in order to learn the feasibility of super-chilled distribution of fresh seafood. To estimate the shelf life, weight, number of bacteria such as E. coli, pH, sensory test and volatile basic nitrogen were investigated. As a result of the study, the difference in shelf life of 6 days at the super-chilling temperature (0±1℃) and 1 day at the general refrigeration temperature (8±2oC) (based on volatile base nitrogen) showed the market possibility of super-chilling distribution. Through additional empirical studies such as packaging methods and economic feasibility, it is expected to promote commercialization of superchilling containers and packaging system developed in the future and secure customer reliability.

Need-based reliability investment in industrial/commercial power distribution systems

Power interruptions can cause significant financial losses to commercial and industrial customers. Backup generators and multiple utility supply feeders are often employed to improve the reliability and minimize such losses. The customer reliability depends not only on the service entrance reliability and backup generator system but also on the reliability of the components, such as circuit breakers, cables, bus bars, etc., used in the distribution facilities of the customers. This paper investigates the reliability impacts of investing in the backup generation and high-quality system components on industrial/commercial distribution systems supplied with different levels of service entrance reliability. The effects of different levels of redundancy in the backup generation and their start times are also examined. The IEEE Std 493-2007 Gold Book network is used for the illustration using data provided by the US Army Corp (PREP). The case studies presented can provide valuable insight to commercial/industrial customers for making efficient decisions for reliability investment.

The Relationships between Web Design, Reliability, Privacy, Service Quality, and Purchase Intention of Customers at E-commerce Business

The Relationships between Web Design, Reliability, Privacy, Service Quality, and Purchase Intention of Customers at E-commerce Business

Application of neural network and weighted improved PSO for uncertainty modeling and optimal allocating of renewable energies along with battery energy storage

The power uncertainty of renewable energy encounters their optimal allocation with obstacle in an on-grid microgrids. Hence, power prediction is a logical tactic. Besides, optimal performance of battery energy storage for compensating electrical loads is another strategy. However, these two solutions must meet the economic expectations as well as reliability of customers. In this paper, generating section includes wind, solar and wave energies in which wind speed and solar irradiance are uncertain parameters and information of Hormoz Island, Iran is the input of problem. Hence, artificial neural network (DANN) is trained by three adaptive techniques to minimize the prediction error dynamically. Then, eco-statistic objective function, reliability criterion and efficient battery strategy are modeled thoroughly. After introducing five feasible scenarios, a heuristic algorithm which is weighted improved PSO, searches the global answers of optimization to test the efficiency of hybrid architecture. Moreover, forecasting results are compared with five adaptive neural network based fuzzy inference system (ANFIS) and one conventional Levenberg Marquardt (LM) based ANN for addressing the functionality of proposed DANN against the uncertainty of renewables. Consequently, simulation results of optimization are tested with heuristic algorithms to demonstrate the optimal answers of problem.

MARKET OF PAYMENT CARDS: STATE, PROBLEMS AND PROSPECTS FOR DEVELOPMENT IN UKRAINE

The purpose of the research work is to conduct a scientific analysis of the payment cards market in Ukraine, as well as to find ways to improve it using foreign experience. The urgency of the research topic is conditioned by the significant growth of the role of cashless payments at the present stage of the formation and development of the Ukrainian economy. Formation of a market economy, improvement of technical means of payments, growth of volumes of domestic and foreign economic operations of Ukraine with other countries, cause a large distribution of cashless payments, replacement of traditional payment instruments with new ones, rapid development and improvement of the payment card market.Using non-cash payments leads to acceleration of settlement operations and cash flow. Also, formation of a market economy, improvement of technical means of payments, growth of volumes of domestic and foreign economic operations of Ukraine with other countries, cause a large distribution of cashless payments, replacement of traditional payment instruments with new, rapid development and improvement of the payment cards market. Therefore, the use of technologies encourages banks to expand the range of services provided by them, improve their quality, increase the level of accessibility, reliability and convenience for customers, and, accordingly, is one of the strategic factors for strengthening the competitive position in the market of banking services of the country.

Prequal: Analyzing The Forming Factors Of Telkomsel's Prepaid Customer Service Quality In Bandung

The development of communication technology has pushed fierce competition between each telecommunications service provider company in Indonesia. Therefore every company needs to understand services that can satisfy consumers to maintain it so that it does not move to compete for products. This research conducted to validate the scale of service quality measurement that can satisfy Telkomsel pre-consumer consumers in the city of Bandung. The study conducted using the EFA method with the Principle Axis Factoring (PAF) technique. Testing in this study conducted using Telkomsel prepaid consumers in Bandung as many as 237 respondents. The results showed that eight factors formed service quality, namely empathy, facilities, customer reliability and independence, employee attractiveness and facilities, employee competence, assurance, communication skills, and information quality. These factors are called prequal, which is the development of a validated instrument.

Enhancement of Distribution System Reliability: A Framework Based on Cournot Game Model

The enhancement of load-point reliability level in power distribution systems is usually based on traditional methods including value-based planning (VBP), performance- based rates (PBR) and reliability insurance scheme (RIS). The implementation of these methods has shown that due to weaknesses in their structures, customer reliability requirements were fulfilled rather infrequently. However, satisfying a desired level of reliability for distribution level customers remains to be a major challenge for distribution utilities. In this paper, a new competition model that is based on game theory is introduced which can conclude to more satisfactory results for customers and utilities. The problem formulation shows that the proposed model is similar to the Cornout model in game theory. The presented model has been applied to a sample radial feeder and the results show how the proposed game model can be a more appropriate structure for providing customer reliability in power distribution systems.

Authentication and Authorization Mechanism for Cloud Security

Cloud Computing is a most widespread and popular form of computing, promising high reliability for customers and providers both at the same point of time for many fields, where cloud storage security is based on Authentication and Authorization in cloud computing. Data is uploaded into a cloud and stored in a datacenter, Authentication and authorization are the major concerns to access the data stored in cloud by users from the data center. Security is a major issue; these are mainly deal with identity and access management, prevention of data loss and malware attack control management. In this paper we majorly concentrated on Authentication and Authorization to cloud access, we focused on identity management mechanism as cloud security solution that provides directory services for application access management. We discussed the protocols that support authorization and allows the communication across applications with the help of tokens instead of credentials. We even concentrated on the different mechanisms which plays a major role in designing a secured cloud computing architecture from malicious intrusions and attacks, it is a step to verify the presence and functioning of the cloud customers and cloud providers through security mechanisms to protect from different risks, threats and attacks. In this paper we discussed different security Algorithms and Authentication architecture along with the proposed algorithm, where analysis is done along with the computational evaluation with output

Conceptual and Simulated Semi-Automatic Urban Waste Management System using Global Systems for Mobile Communication and Customer Reliability Indices

: Municipal Solid Waste Management (MSWM) poses great challenges to many cities around the world. The challenges are fuelled by population explosions all over the world, especially in the major urban centres, against the backdrop of limited resources to manage wastes efficiently. In this paper, a conceptual and simulated semi-automatic approach to MSWM is considered using the prevalent Global Systems for Mobile Communication (GSM) technology to engage both the waste generators and collectors. This system connects users into a central database where data about their waste bin levels are harnessed. Users are prompted via GSM handsets daily for the level of the waste bin. Waste Collection Vehicles are routed based on the responses while an updatable Reporting Reliability Index (RRI) is computed for each user based on estimate of actual level of waste collected as against the reported level to factor future reporting. With history of collection volume at a location known, forecast is made as to the generated waste level when a customer’s response to prompt is not available. The system is tested on a simulated 30-node housing estate and two dump sites with vehicles routed to optimize distance covered and volume of waste collected. Customers report when prompted with 0, 1, 2, 3, 4 for waste levels ranging from empty to full bin fills. Vehicles are routed to collect wastes at locations with a minimum threshold level of 2. Results obtained showed statistically insignificant differences in distribution of means of collection distance covered weekly but 13.31 volume units/km collected with this method compared with 3.08 volume units/km run of fixed routing scheme, at = 0.05. The cost saving potential and environmental benefits of timely waste disposal of this scheme is thus demonstrable.Keywords: Municipal Solid Waste, Waste Management, SMS Gateway, GSM, Reporting Reliability Index.

Operational reliability of multi-energy customers considering service-based self-scheduling

The developments of energy storage and substitution techniques have made it possible for customers to self-schedule their energy consumption behaviors, to better satisfy their demands in response to uncertain supply conditions. The interdependency of multiple energies, the chronological characteristics, and uncertainties in the self-scheduling context bring about additional complexities to secure the reliable energy requirements of multi-energy customers. As a necessary and challenging task, the operational reliability of multi-energy customers is tackled in this paper. Considering that the consumed energies eventually come down to the energy-related services, the self-scheduling of multi-energy customers is implemented from the perspective of specific energy-related services rather than energy carriers. Firstly, an optimal self-scheduling model for multi-energy customers is developed with the consideration of chronological service curtailment, service shifting and possible failures during service shifting. In the optimal self-scheduling model, the costs of service curtailment and shifting are formulated based on the proposed evaluation method. The time-sequential Monte Carlo simulation approach is applied to model the chronological volatilities of multi-energy demands over the entire study period, embedded with a scenario reduction technique to reduce the computational efforts. Taking full account of the possible scenarios, the quantitative reliability indices of the multi-energy customers can be obtained. The results in test cases demonstrate that the expected energy not supplied of the multi-energy customer drops significantly by 56.32% with the self-scheduling strategy. It can be also concluded that, the self-scheduling and its inherent uncertainties do have significant impacts on the operational reliability of the multi-energy customer.

Market-Based Customer Reliability Provision in Distribution Systems Based on Game Theory: A Bi-Level Optimization Approach

Traditional reliability enhancement programs in power distribution utilities are focused on averaging the reliability improvement for distribution utility customers. The provision of targeted reliability levels at optimized operation costs for individual distribution utility customers is an important feature of smart distribution systems that have been of interest recently. Consequently, a market-based approach is required for identifying the minimum cost of distribution system operation that considers customers’ reliability preferences (outage costs) in a competitive system operation. In this paper, we introduce a proposed market-based approach for setting customer reliability preferences in a smart distribution system. The proposed approach utilizes the game theory as a powerful tool for modeling conflicts among distribution system participants (customers and the utility). In this model, customers will propose their desired reliability level and the distribution system operator makes reliability allocations among customers which minimize the distribution system operation cost. The interactions among participants are modeled and solved using a bi-level optimization approach to determine the optimal customer reliability level. The model can be utilized for operating the existing network or in the case where a utility would invest on the reliability enhancement. The proposed model can suitably encourage the participation of distribution system customers in reliability enhancement by offering several reliability options via two-way communications between customers and the distribution system utility. The simulation tests on a sample distribution system demonstrate the significant features of the proposed distribution reliability model.

Optimal fuzzy switch placement to increase automation level of electric distribution network considering asset management principles

Since distribution sector is inherent into high amount of failures, distribution companies (DISCOs) are responsible of attaining an acceptable value for the reliability indices and otherwise they will face up to complaints. So they are usually obligated by regulators to invest on reliability improvement of network. But this investment on reliability is usually from the DISCO’s viewpoint and is also irrespective of customer satisfaction level. In other words, customers are not at the same level of sensitivity to interruptions but DISCO improves the reliability of network without considering the differences in importance degree of loads and their level of reliability requirement. On the other hand DISCOs attempt to reduce their investment costs as much as possible. This paper introduces a novel approach in the field of joint switch placement that can reduce the switch cost from the perspective of asset management policies. To this end, two switch placement plannings in different types of strategies are performed to compare their results. Firstly as witch placement is performed based on reducing the total energy not supplied (ENS) of the system. Then by revising the strategy, a fuzzy switch placement is performed from the DISCO’s point of view which just considers the total ENS of load points most sensitive to interruptions known as important or critical loads. Furthermore, by meeting the related constraints, the reliability of low sensitive customers is disregarded. This is a load importance based planning which can result in switch cost reduction relative to the amount achieved in previous strategy and implies the management of risks associated with reliability and respective constraint. Fuzzy method and new switching mechanism in fuzzy environment of network are implemented to modeling and controlling the risks associated to ENS of critical loads and also the ENS of system.

Risk-based Switch Placement in Electric Distribution Network in Presence of Performance Based Regulation

A reward and penalty scheme (RPS) is used for setting up the service quality which exposes the distribution companies to financial benefits caused by demand for the reliability of customers. In this paper, an algorithm for the optimal switch number and placement in distribution networks in the presence of RPS is presented. The primary objective is reliability improvement and minimization of the cost of sectionalizing switches (SS) and tie switches (TS) for a given regulatory period considering acceptable financial risk. In this algorithm, the uncertainty in the reliability is appeared as financial risk. A genetic algorithm is adopted to solve the optimization problem. The number and location of SS and TS is found while financial incentives of RPS, capital investment and annual operation and maintenance costs are considered. The performance of the proposed approach is assessed and illustrated on a real distribution network. The results show the efficiency of the proposed algorithm.

An Optimized Component Selection Algorithm for Self-Adaptive Software Architecture Using the Component Repository

Component-based software engineering focuses on the development and reuse of components. The component reuse depends on the storage and retrieval processes. This article presents the component repository model for the developers to achieve good productivity. The component selection from the component repository according to the functionality and requirements is a crucial process. This article proposed an algorithm for optimizing component selection with functionality constraints like customer size, reliability, and performance. The experimental result evaluates the performance of the algorithm.