Design of a fuzzy finite capacity queuing model based on the degree of customer satisfaction: Analysis and fuzzy optimization

2008 ◽  
Vol 159 (24) ◽  
pp. 3313-3332 ◽  
Author(s):  
María José Pardo ◽  
David de la Fuente
Keyword(s):  
Customer Satisfaction ◽  
Fuzzy Optimization ◽  
Finite Capacity ◽  
Queuing Model ◽  
Model Based ◽  
Satisfaction Analysis

scholarly journals A novel approach for optimization in a fuzzy finite capacity queuing model with system cost and expected degree of customer satisfaction

2015 ◽  
Vol 4 (4) ◽  
pp. 487-496 ◽  
Author(s):  
Mohammad Bagher Shahin ◽  
Ali Doniavi ◽  
Maghsoud Solimanpur ◽  
Mahdi Shahin
Keyword(s):  
Customer Satisfaction ◽  
Finite Capacity ◽  
Queuing Model ◽  
System Cost ◽  
Novel Approach

Queuing Model Based Data Centers: A Review

2019 ◽  
Vol 123 ◽  
pp. 11-20 ◽  
Author(s):  
N. Thirupathi Rao ◽  
Debnath Bhattacharyya ◽  
S. Naga Mallik Raj
Keyword(s):  
Data Centers ◽  
Queuing Model ◽  
Model Based

scholarly journals Analysis of queue change of visitors and performace system in the Department of Population and Civil Regristation of Semarang City

2020 ◽  
Vol 202 ◽  
pp. 15005
Author(s):  
Sugito ◽  
Alan Prahutama ◽  
Dwi Ispriyanti ◽  
Mustafid
Keyword(s):  
Customer Satisfaction ◽  
Waiting Time ◽  
Public Service ◽  
Service Time ◽  
Service Sector ◽  
General Distribution ◽  
Queuing Systems ◽  
Queuing Model ◽  
The Public ◽  
Second Period

The Population and Civil Registry Office in Semarang city is one of the public service units. In the public service sector, visitor / customer satisfaction is very important. It can be identified by the length of the queue, the longer visitors queue this results in visitor dissatisfaction with the service. Queue analysis is one of the methods in statistics to determine the distribution of queuing systems that occur within a system. In this study, a queuing analysis as divided into two periods. The first period lasts from 2-13 March 2015, while the second period lasts November 16th to December 20th 2019. The variables used are the number of visitors and the service time at each counter in intervals of 30 minutes. The results obtained are changes in the distribution and queuing model that is at counter 5/6 and counter 10. The queuing model obtained at the second perideo for the number of visitors and the time of service with a General distribution. The average number of visitors who come in 30 minute intervals in the second period is more than the first period, this indicates an increase in visitors. The opportunity for service units is still small, the waiting time in the queue is getting smaller. This shows that the performance of the queuing system at the Semarang Population and Civil Registry Office is getting better.

scholarly journals FARMER SATISFACTION ANALYSIS ON RICE FARMING INSURANCE PROGRAM IN TEGAL REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 40-55
Author(s):  
Mirza Andrian Syah ◽  
Mukson Mukson ◽  
Wiludjeng Roessali
Keyword(s):  
Performance Analysis ◽  
Customer Satisfaction ◽  
Sampling Method ◽  
Total Sample ◽  
Rice Farming ◽  
Satisfaction Index ◽  
Proportional Allocation ◽  
Insurance Program ◽  
Low Performance ◽  
Satisfaction Analysis

Farmers satisfaction in joining Rice Farming Insurance illustrates the program performance. The satisfaction of Rice Farming Insurance program can be measured through some attributes of satisfaction. Satisfaction attributes are assessed ranging from dissatisfied to very satisfied. This research aimed to determine the level of farmer satisfaction on Rice Farming Insurance program. This research was conducted in January – February 2020. Slovin method used for sampling method with total sample of 100 respondent, consist of 53 respondents were taken in Dukuhwaru District and 47 respondents were taken in Warureja District using proportional allocation. Locations in this research was choose with purposive method. Importance Performance Analysis and Customer Satisfaction Index were used to analyze. The result showed that Farmers were satisfied with the implementation of the Rice Farming Insurance program with CSI score of 79%. The attributes that need to be improved are the compensation requirements, the amount of coverage, the submission procedure, reviewing, and payment procedure of claims, and the time of approval and payment of claims. Those attributes were considered important by farmers yet still have low performance.  

A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change

2011 ◽  
pp. 388-393 ◽  
Author(s):  
Omar S. Soliman ◽  
Aboul Ella Hassanien ◽  
Neveen I. Ghali ◽  
Nashwa El-Bendary ◽  
Ruhul A. Sarker
Keyword(s):  
Climate Change ◽  
Decision Support ◽  
Fuzzy Optimization ◽  
Decision Support Tool ◽  
Support Tool ◽  
Model Based

Agro-Tourism Customer Satisfaction Analysis Based on the Theory of Attractive Quality

2021 ◽  
pp. 290-312
Author(s):  
Maria Lachnidaki ◽  
Evangelos Grigoroudis ◽  
Constantin Zopounidis
Keyword(s):  
Customer Satisfaction ◽  
Critical Issue ◽  
Large Set ◽  
Kano Model ◽  
Tourism Sector ◽  
Weak Points ◽  
Quality Dimensions ◽  
Potential Improvement ◽  
The Cost ◽  
Satisfaction Analysis

Customer satisfaction measurement is an important and critical issue of all businesses in the tourism sector, since it gives a better understanding of the needs and requirements of tourists. The Kano model is one of the most widely used approaches in analyzing customer satisfaction, aiming to categorize the quality attributes of products/services in different quality dimensions. The main aim of this chapter is to analyze customer satisfaction from an agro-tourism farm and prioritize potential improvement actions. The preliminary analysis has identified a large set of customer satisfaction criteria that refer to the location, the personnel, the activities, the cost, and the “green” aspects of the agro-tourism farm. The MUSA method has been applied in the context of Kano's theory of attractive quality. The main results show which satisfaction criteria mostly affect satisfaction and/or dissatisfaction, identifying the strong and the weak points of the farm. Finally, combining the previous results, it is possible to prioritize improvement actions.

Sign in / Sign up

Export Citation Format

Share Document