Robustness Analysis of Telecommunications Customer Service System

2014 ◽  
Vol 989-994 ◽  
pp. 4179-4182
Author(s):  
Bo Wu
Keyword(s):  
Customer Service ◽  
Service System ◽  
Robustness Analysis ◽  
Telecommunications Industry ◽  
Service Systems ◽  
Research Model ◽  
Node Failure ◽  
Computing Power ◽  
Efficiency Assessment ◽  
Simulation Results

The robustness of customer service system for telecommunications industry is researched. To overcome existing robustness defect of node failure in current network robust research model, node efficiency assessment of robustness is employed, generalized evolution theory is taken into, and changes process of telecommunications customer service systems is simulated. In analysis of conditions in different interference, robustness performance is presented. Simulation results show that the method considering the telecommunications industry to build robust customer service system is feasible and effective for large, complex networks, which has a good capability of computing power.

scholarly journals Customer Service System Design Based on Big Data Machine Learning

2021 ◽  
Vol 2066 (1) ◽  
pp. 012017
Author(s):  
Yuqiang Kong ◽  
Yaoping He
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Customer Service ◽  
Service System ◽  
Rapid Development ◽  
Good Method ◽  
Service Systems ◽  
Labor Costs ◽  
High Turnover ◽  
Online Transactions

Abstract In recent years, with the rapid development of big data, traditional offline transactions have been moved to online in large numbers driven by the Internet. The virtual nature of online transactions has caused it to have problems such as difficulty in guaranteeing product quality and difficulty in user consultation. In addition, consumers are paying more and more attention to the quality of services, and the participation of customer service in the process of online transactions is very important. However, the current e-commerce market in our country is large and the number of online shopping users is extremely large. Customer service personnel are facing great work pressure. In addition, customer service has the characteristics of difficulty in recruiting, high labor costs, and high turnover rate. Such a dilemma is not conducive to our country. The sound development of e-commerce needs to be solved urgently. In order to solve these problems, it is a good method to apply related technologies to realize the automatic response of customer service. The purpose of this article is to design and research a customer service system based on big data machine learning. This article first through the understanding of the basic concepts of big data, and then extend the core technology of big data. Combining with the design ideas and concepts of contemporary customer service systems in our country, we will discuss the design and research of customer service systems based on big data machine learning. Research shows that traditional customer service in the era of big data can no longer meet people’s growing needs, and customer service systems based on big data machine learning are more efficient and convenient.

scholarly journals Enhanced Logistics Information Service Systems Performance: Using Theoretical Model and Cybernetics’ Principles

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Customer Service ◽  
Service System ◽  
Information Service ◽  
Service Systems ◽  
Fleet Management ◽  
Logistics Service ◽  
Logistics Service Provider ◽  
Logistics Information ◽  
High Level ◽  
Outsourcing Logistics

Outsourcing logistics has established itself in the area of the LSP (Logistics Service Provider), which offers a range of services to its customers. In this line, transportation is characterized as one of the most important services, and therefore efficient fleet management is essential for establishing a high level of customer service. In this paper, we considered intellectual procedures for modeling the management of logistics information service system in the class of the problem, solved method of the theory of queuing system (QS). Examples of constructing mathematical models for the management of logistics information systems are given.

Optimalisasi Kasir Dan Minimisasi Biaya Studi Kasus Pada Swalayan PSFJ Di Jakarta Selatan

Liquidity ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 53-63
Author(s):  
Yanti Budiasih
Keyword(s):  
Customer Service ◽  
Operations Research ◽  
Service System ◽  
Service Systems ◽  
Queue Model ◽  
The Cost

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.

Network Management and Service Systems

2015 ◽  
Vol 28 (1) ◽  
pp. 38-56 ◽  
Author(s):  
Rainer Alt ◽  
Clemens Eckert ◽  
Thomas Puschmann
Keyword(s):  
Network Management ◽  
Service Providers ◽  
Service System ◽  
Financial Service ◽  
Service Systems ◽  
Service Science ◽  
Support Network ◽  
Value Chains ◽  
Dynamic Configuration ◽  
Oriented Research

Service science views companies as service system entities that interact with other entities to create value. In today's networked value chains competition is no longer among companies, but among networks that may be regarded as service ecologies. Following service science each entity comprises a dynamic configuration of resources and structures, thus a variety of design aspects needs alignment within these ecologies. To manage service ecologies this article suggests to link insights from network management with service science. A multi-dimensional framework consistently describes the organizational aspects of network management among service system entities as well as the required processes to align activities between service system entities and the possible information systems to support network management. The framework emerged from a design-oriented research project based on eleven interviews with managers from financial service providers in Germany and Switzerland.

scholarly journals Sistem Informasi Pelayanan Jasa pada Lucky Photo

2021 ◽  
Vol 11 (1) ◽  
pp. 81-95
Author(s):  
T Pradita ◽  
A Mubarok
Keyword(s):  
Information System ◽  
Customer Service ◽  
Service System ◽  
The Internet ◽  
Application System ◽  
Web Based ◽  
Customer Data ◽  
Service Information ◽  
Internet Media ◽  
A Company

The development of services has developed into the internet media, to make it easier for customers and employees in managing a job. In the problem of Lucky Photo, which covers services including printing, sales, stock of goods, purchases, and reports are not effective properly. The researcher aims to develop a service system entitled Service Information Systems at Lucky Photo. By building a web-based application, a waterfall method is needed to become a benchmark for the creation of a service information system, so the results will be obtained on a web-based application system to demand progress in a company, including services that become easier, easier customer service in conduct transactions, generate reports, and process customer data. So it can be concluded that with the construction of a new Service Information System it will be easier to make transactions, make it easier for customers, create reports, and process customer data that is embedded in the Mysql database which will become a well-systemized report.

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