scholarly journals MODELO AHP PARA SELECCIONAR PROVEEDORES DE CLOUD COMPUTING

2017 ◽  
Vol 24 (1) ◽  
pp. 99
Author(s):  
Gloria Teresita Huamaní Huamaní
Keyword(s):  
Cloud Computing ◽  
Analytic Hierarchy Process ◽  
Service Providers ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Value Judgments ◽  
Analytic Hierarchy ◽  
Palabras Clave ◽  
Toma De Decisiones ◽  
Hierarchy Process

En este documento se describe la aplicación del Proceso Analítico Jerárquico (PAJ), y luego se identifica los servicios de los proveedores de computación en la nube. La primera actividad en la toma de decisiones multicriterio es establecer los factores que son importantes para esa decisión. Así se ha determinado como criterios en la selección de proveedores de cloud computing: escalabilidad, accesibilidad, rendimiento, y seguridad. El modelo SEPROCCAHP v01, ha sido aplicado por tres grupos de alumnos del curso de logística empresarial. Dos grupos de alumnos han seleccionado Google, y un tercer grupo a Microsoft. Los resultados difieren, porque depende de los juicios de valor emitidos en la evaluación de pares de criterios y las alternativas a seleccionar. Palabras clave.- Seleccionar proveedores, Proceso analítico jerárquico, Computación en la nube.. ABSTRACTIn this paper the application of the Analytic Hierarchy Process (AHP) is described, and then the service providers cloud computing is identified. The first activity in multicriteria decision- making is to establish the factors that are important to that decision. This has been determined as criteria in selecting cloud providers: accessibility scalability, performance, security. The SEPROCCAHP v01 model has been applied for three groups of students in the course of business logistics. Two groups of students have selected Google, and a third group at Microsoft. The results differ because it depends on value judgments issued in the peer evaluation criteria and alternatives to select. Keywords.- Select suppliers, Analytic hierarchy process, Cloud computing.

Prioritizing the Critical Factors of Cloud Computing Adoption Using Multi-criteria Decision-making Techniques

2017 ◽  
Vol 21 (1) ◽  
pp. 142-161 ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya
Keyword(s):  
Cloud Computing ◽  
Analytic Hierarchy Process ◽  
Service Providers ◽  
Cloud Service ◽  
Critical Factors ◽  
Analytic Hierarchy ◽  
Time To Market ◽  
Adoption Factors ◽  
Indian Context ◽  
Hierarchy Process

Cloud Computing (CC) is a paradigm shift with the potential of transforming the information and communication technology (ICT) industry. ICT is an integral part of all businesses, and CC helps in lightening the burden of massive ICT investments. Thus, it is essential to understand the factors that influence CC adoption. The purpose of this study is to identify and rank critical factors for CC adoption in the Indian context. The research has adopted mixed methodology (qualitative and quantitative). Experts from 13 organizations (including 8 cloud service providers (CSPs) and 5 cloud service users (CSUs)) are interviewed. Content analysis is used to confirm existing factors and identify new factors in the Indian context. Qualitative analysis has identified four new factors, namely, ‘time to market’, ‘futuristic’, ‘resistance to change’ and ‘financial losses’ (arising from security and resource availability). The quantitative part of the research used analytic hierarchy process (AHP) and fuzzy analytic hierarchy process (FAHP) techniques to rank the factors. The analysis revealed ‘IT service cost’ and ‘time to market’ as the most critical factor through FAHP and AHP respectively. However, ‘organization size’ is reported the least critical for CC adoption through both the methods. The results also highlight divergence among the criticality of CC adoption factors using the two techniques. The study is very useful for CSPs and key decision-makers to understand the critical adoption factors and judiciously strategize for CC service promotions. It will also help users to wisely decide while making CC adoption decision.

scholarly journals Selección de alternativas en el tratamiento de suelos degradados utilizando métodos multicriterio

2017 ◽  
pp. 6
Author(s):  
Osvaldo Fosado Téllez ◽  
Jorge Cué García ◽  
Elízabeth Fosado Obregón ◽  
Antonio Torres García ◽  
Rolando León Aguilar ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Palabras Clave ◽  
El Sistema ◽  
Toma De Decisiones ◽  
Del Rio ◽  
Hierarchy Process

La selección de alternativas en el tratamiento de suelos degradados involucra un conjunto de criterios técnico-económicos que tienden a contraponerse entre sí desde el punto de vista matemático. En este trabajo se conjugan dos métodos multicriterio discretos para la selección de alternativas más eficientes generadas por el Sistema Integrado SIMONIT en el tratamiento de suelos degradados: Analytic Hierarchy Process (AHP) y Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). La aplicación de los métodos, a partir de los niveles de prioridad que los centros decisores otorgaron a cada uno de los criterios de selección, permitió seleccionar la alternativa “Aplicación de materia orgánica más subsolación con multiarado” en un área de la provincia de Pinar del Río, Cuba. Palabras clave: Conjugación de AHP y PROMETHEE, Toma de Decisiones Multicriterio Discreta, Tratamiento de Suelos

The Analytic Hierarchy Process as a Method for the Selection of Resources in the Cloud

2021 ◽  
pp. 267-284
Author(s):  
Hugo Rolando Haurech ◽  
David Luis la Red Martinez
Keyword(s):  
Cloud Computing ◽  
Analytic Hierarchy Process ◽  
Information Technologies ◽  
Analytic Hierarchy ◽  
Mathematical Development ◽  
Technological Advances ◽  
Computing Skills ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Due to technological advances, organizations have to face many challenges in providing support through the use of information technologies (IT) to carry out tasks that require computing skills. It is important to adopt adequate resources with the aim of developing processing skills that meet actual needs. Cloud computing (CC) represents an alternative that offers many opportunities to be exploited. This chapter introduces characteristics of CC, the technologies that enable its deployment, and a model of selection based on qualifications and mathematical development.

scholarly journals ANALYSIS OF THE USE OF CELLULAR OPERATORS USING THE ANALYTIC HIERARCHY PROCESS METHOD

2019 ◽  
Vol 1 (1) ◽  
pp. 29-38
Author(s):  
Ari Muzakir ◽  
Usman Ependi
Keyword(s):  
Communication Network ◽  
Analytic Hierarchy Process ◽  
Service Providers ◽  
Access To Information ◽  
Analytic Hierarchy ◽  
Ease Of Access ◽  
Almost All ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The development of technology in the telecommunications sector is now easier to be enjoyed by the community. Almost all regions have been able to enjoy the ease of access to information through telecommunications networks. Telecommunications service providers certainly have competed in such a way as to be able to hold users to remain loyal to the provider used. From several surveys conducted, there are still many users who cannot be loyal to use the services of these providers. The increasing number of communication network providers makes users more choices. Various ways are carried out by communication network providers to maintain their users such as giving bonuses, providing cheap rates, increasing services to the regions. In this study will focus on the level of customer satisfaction with cellular operators with a variety of criteria that have been prepared which will be a consideration for users in using these cellular operators. This research will use the AHP method (Analytic Hierarchy Process) to find out which cellular operators are the most superior based on the judgment of the user with various criteria each. So that in the end it will be known which cellular operators will be selected and purchased by consumers according to their respective needs. The results of this study show that based on the bonus, IM3 is the best with a weight of 0.21712. Then based on the price rate, a tri card with a weight of 0.16565. Furthermore, the service criteria show a better Sympathy card with a weight of 0.21311

scholarly journals Maintenance Preventive Analysis in Additive Manufacturing Equipment using Analytic Hierarchy Process

2021 ◽  
Author(s):  
Pablo Ayala ◽  
Hugo Francisco López Herrera
Keyword(s):  
Analytic Hierarchy Process ◽  
Manufacturing System ◽  
Multicriteria Decision Making ◽  
Integrated Approach ◽  
Preference Ranking ◽  
3D Printer ◽  
Analytic Hierarchy ◽  
Manufacturing Equipment ◽  
Hierarchy Process

Abstract Maintenance preventive (PM) on equipment is a very important issue for an effective manufacturing system, since the improper MP might cause many problems affecting productivity, precision, flexibility and quality of the products negatively. On the other hand, analysis of MP equipment among many alternatives can be a multicriteria decision making (MCDM) problem. In this study, an integrated approach which employs analytic hierarchy process (AHP) and preference ranking elements, is proposed for the MP equipment of 3D printer machine. The AHP is used to analyze the structure of the equipment problems and to determine weights of the criteria, and this method is used to obtain final ranking. Proposed approach is applied to a problem of 3D printer machines to be established a MP strategy.

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