| TÃtulo : |
Strategic System Assurance and Business Analytics |
| Tipo de documento: |
documento electrónico |
| Autores: |
Kapur, P.K, ; Singh, Ompal, ; Khatri, Sunil Kumar, ; Verma, Ajit Kumar, |
| Mención de edición: |
1 ed. |
| Editorial: |
Singapore [Malasya] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XIX, 602 p. 235 ilustraciones, 189 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-981-1536472-- |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Investigación cuantitativa Gestión de la producción La investigación de operaciones Computadoras digitales electrónicas Sistemas de seguridad Análisis de datos y Big Data Jefe de operaciones Investigación de Operaciones y TeorÃa de la Decisión Rendimiento y evaluación del sistema Ciencia y tecnologÃa de seguridad |
| Clasificación: |
001.4 Investigación y métodos estadísticos |
| Resumen: |
Este libro examina y cuantifica sistemáticamente los problemas industriales mediante la evaluación de la complejidad y la seguridad de los grandes sistemas. Incluye capÃtulos sobre la gestión del rendimiento del sistema, la evaluación de la fiabilidad del software, las pruebas, la gestión de la calidad, el análisis mediante técnicas de soft computing, el análisis de la gestión y el análisis empresarial, con un claro enfoque en la exploración de cuestiones empresariales del mundo real. A través de las contribuciones de investigadores que trabajan en el área del rendimiento, la gestión y el análisis empresarial, explora el desarrollo de nuevos métodos y enfoques para mejorar los negocios mediante la obtención de conocimientos a partir de datos masivos. Con el análisis del rendimiento del sistema, las empresas ahora pueden impulsar el rendimiento y proporcionar información práctica para cada nivel y para cada función mediante indicadores clave, generar cuadros de mando habilitados para dispositivos móviles, análisis basados ​​en series temporales mediante gráficos y paneles de control. En el entorno dinámico actual, se está adoptando cada vez más una herramienta viable conocida como análisis de decisiones de criterios múltiples (MCDA) para abordar decisiones empresariales complejas. El MCDA es una importante herramienta de apoyo a la toma de decisiones para analizar objetivos y proporcionar soluciones y alternativas óptimas. Comprende varias técnicas distintas, que se implementan mediante paquetes de toma de decisiones especializados. Este libro aborda varios métodos MCDA importantes, como DEMATEL, TOPSIS, AHP, MAUT y MCDM intuitionista difuso, que permiten obtener la máxima utilidad en el área de análisis. Como tal, es un recurso valioso para investigadores y académicos, asà como para profesionales y expertos en negocios. |
| Nota de contenido: |
Investing Data with Machine Learning using Python -- Probabilistic Assessment of Complex System with Two Subsystems in Series Arrangement with Multi Types Failure and Two Types of Repair using Copula -- "Recognition and Optimizing Process Lagging Indicators during Software Development" -- Risk and Safety Analysis of Warships Operational Lifetime Defects -- Facebook Data Breach: A Systematic Review of its Consequences on Consumers' Behaviour Towards Advertising -- Fuzzy DEMATEL Approach to Identify the Factors Influencing Efficiency of Indian Retail Websites -- "Application of Statistical Techniques in Project Monitoring and Control" -- Sensor Based Smart Agriculture in India -- "Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments" -- "Improving the Quality of Customer Service of Financial Institutions: the Implementation of Challenger Banks" -- "Corporate Image Building in the Indian IT Sector: Conceptualizing through HR Practices" -- Vague ReliabilityAnalysis of Standby Systems with an (N+1) Units -- "Experimental study for MRR and TWR on Machining of Inconel 718 using ZNC EDM" -- "Blind Quantitative Steganalysis using CNN –Long Short Term Memory Architecture" -- Performance of Autoregressive Tree model in Forecasting Cancer Patients -- Developing a Usage Space Dimension Model to Investigate Influence of Intention to use on Actual Usage of Mobile Phones -- "Examining the Relationship Between Customer Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce" -- Smart Industrial Packaging and Sorting System -- Credentials Safety and System Security Pay-off and Tradeoff: Comfort Level Security Assurance Framework -- A Study of Microfinance on Sustainable Development -- "Development of Decision Support System for a Paper Making Unit of a Paper Plant using Genetic Algorithm Technique" -- "The Challenge of Big Data in Official Statistics in India" -- CUDA Accelerated HAPO (C-HAPO) Algorithm for Fast Responses inVehicular Ad-Hoc Networks -- "A Survey of Portfolio Optimization with Emphasis on Investments made by Housewives in Popular Portfolios" -- "Single Vacation Policy for Discrete-time Retrial Queue with Two Types of Customers" -- "Intuitionistic Fuzzy Hybrid Multi Criteria Decision Making Approach with TOPSIS Method using Entropy Measure for Weighting Criteria" -- Dynamic Analysis of Prey-Predator Model with Harvesting Prey Under the Effect of Pollution and Disease in Prey Species -- "Univariate and Multivariate Process Capability Indices – Measures of Process Performance – A Case Study" -- "Improving Customer Satisfaction through Reduction in Post Release Defect Density (PRDD)" -- "An Architecture for Data Unification in E-commerce using Graph" -- "Study on Accident Data Recording Variables in Europe, USA & India" -- Improving The QFD Methodology -- Software Defect Prediction based on Selected Features using Neural Network and Decision Tree -- Testing Effort Dependent Software Reliability Assessment Integrating Change Point, Imperfect Debugging and FRF -- "Assessing the Severity of Software Bug using Neural Network" -- Optimal Refill Policy for New Product and Optimal Take Back Quantity of Used Product with Deteriorating Items Under Inflation and Lead Time -- Blockchain Based Social Network Infrastructure -- "Performance Analysis of an Active-Standby Embedded Cluster System with Software Rejuvenation, Fault Coverage and Reboot" -- "Analysis of Jeffcott Rotor and Rotor with Disk Using Xlrotor" -- Foodie: An Automated Food Ordering System -- Prioritization of Different types of Software Vulnerabilities using Structural Equation Modelling -- Fog-Based Internet of Things Security Issues -- Estimation of Fatigue life of PLCC Solder Joints Under Vibration Loading. |
| Tipo de medio : |
Computadora |
| Summary : |
This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Strategic System Assurance and Business Analytics [documento electrónico] / Kapur, P.K, ; Singh, Ompal, ; Khatri, Sunil Kumar, ; Verma, Ajit Kumar, . - 1 ed. . - Singapore [Malasya] : Springer, 2020 . - XIX, 602 p. 235 ilustraciones, 189 ilustraciones en color. ISBN : 978-981-1536472-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Investigación cuantitativa Gestión de la producción La investigación de operaciones Computadoras digitales electrónicas Sistemas de seguridad Análisis de datos y Big Data Jefe de operaciones Investigación de Operaciones y TeorÃa de la Decisión Rendimiento y evaluación del sistema Ciencia y tecnologÃa de seguridad |
| Clasificación: |
001.4 Investigación y métodos estadísticos |
| Resumen: |
Este libro examina y cuantifica sistemáticamente los problemas industriales mediante la evaluación de la complejidad y la seguridad de los grandes sistemas. Incluye capÃtulos sobre la gestión del rendimiento del sistema, la evaluación de la fiabilidad del software, las pruebas, la gestión de la calidad, el análisis mediante técnicas de soft computing, el análisis de la gestión y el análisis empresarial, con un claro enfoque en la exploración de cuestiones empresariales del mundo real. A través de las contribuciones de investigadores que trabajan en el área del rendimiento, la gestión y el análisis empresarial, explora el desarrollo de nuevos métodos y enfoques para mejorar los negocios mediante la obtención de conocimientos a partir de datos masivos. Con el análisis del rendimiento del sistema, las empresas ahora pueden impulsar el rendimiento y proporcionar información práctica para cada nivel y para cada función mediante indicadores clave, generar cuadros de mando habilitados para dispositivos móviles, análisis basados ​​en series temporales mediante gráficos y paneles de control. En el entorno dinámico actual, se está adoptando cada vez más una herramienta viable conocida como análisis de decisiones de criterios múltiples (MCDA) para abordar decisiones empresariales complejas. El MCDA es una importante herramienta de apoyo a la toma de decisiones para analizar objetivos y proporcionar soluciones y alternativas óptimas. Comprende varias técnicas distintas, que se implementan mediante paquetes de toma de decisiones especializados. Este libro aborda varios métodos MCDA importantes, como DEMATEL, TOPSIS, AHP, MAUT y MCDM intuitionista difuso, que permiten obtener la máxima utilidad en el área de análisis. Como tal, es un recurso valioso para investigadores y académicos, asà como para profesionales y expertos en negocios. |
| Nota de contenido: |
Investing Data with Machine Learning using Python -- Probabilistic Assessment of Complex System with Two Subsystems in Series Arrangement with Multi Types Failure and Two Types of Repair using Copula -- "Recognition and Optimizing Process Lagging Indicators during Software Development" -- Risk and Safety Analysis of Warships Operational Lifetime Defects -- Facebook Data Breach: A Systematic Review of its Consequences on Consumers' Behaviour Towards Advertising -- Fuzzy DEMATEL Approach to Identify the Factors Influencing Efficiency of Indian Retail Websites -- "Application of Statistical Techniques in Project Monitoring and Control" -- Sensor Based Smart Agriculture in India -- "Integrating UTAUT with Trust and Perceived Benefits to Explain User Adoption of Mobile Payments" -- "Improving the Quality of Customer Service of Financial Institutions: the Implementation of Challenger Banks" -- "Corporate Image Building in the Indian IT Sector: Conceptualizing through HR Practices" -- Vague ReliabilityAnalysis of Standby Systems with an (N+1) Units -- "Experimental study for MRR and TWR on Machining of Inconel 718 using ZNC EDM" -- "Blind Quantitative Steganalysis using CNN –Long Short Term Memory Architecture" -- Performance of Autoregressive Tree model in Forecasting Cancer Patients -- Developing a Usage Space Dimension Model to Investigate Influence of Intention to use on Actual Usage of Mobile Phones -- "Examining the Relationship Between Customer Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce" -- Smart Industrial Packaging and Sorting System -- Credentials Safety and System Security Pay-off and Tradeoff: Comfort Level Security Assurance Framework -- A Study of Microfinance on Sustainable Development -- "Development of Decision Support System for a Paper Making Unit of a Paper Plant using Genetic Algorithm Technique" -- "The Challenge of Big Data in Official Statistics in India" -- CUDA Accelerated HAPO (C-HAPO) Algorithm for Fast Responses inVehicular Ad-Hoc Networks -- "A Survey of Portfolio Optimization with Emphasis on Investments made by Housewives in Popular Portfolios" -- "Single Vacation Policy for Discrete-time Retrial Queue with Two Types of Customers" -- "Intuitionistic Fuzzy Hybrid Multi Criteria Decision Making Approach with TOPSIS Method using Entropy Measure for Weighting Criteria" -- Dynamic Analysis of Prey-Predator Model with Harvesting Prey Under the Effect of Pollution and Disease in Prey Species -- "Univariate and Multivariate Process Capability Indices – Measures of Process Performance – A Case Study" -- "Improving Customer Satisfaction through Reduction in Post Release Defect Density (PRDD)" -- "An Architecture for Data Unification in E-commerce using Graph" -- "Study on Accident Data Recording Variables in Europe, USA & India" -- Improving The QFD Methodology -- Software Defect Prediction based on Selected Features using Neural Network and Decision Tree -- Testing Effort Dependent Software Reliability Assessment Integrating Change Point, Imperfect Debugging and FRF -- "Assessing the Severity of Software Bug using Neural Network" -- Optimal Refill Policy for New Product and Optimal Take Back Quantity of Used Product with Deteriorating Items Under Inflation and Lead Time -- Blockchain Based Social Network Infrastructure -- "Performance Analysis of an Active-Standby Embedded Cluster System with Software Rejuvenation, Fault Coverage and Reboot" -- "Analysis of Jeffcott Rotor and Rotor with Disk Using Xlrotor" -- Foodie: An Automated Food Ordering System -- Prioritization of Different types of Software Vulnerabilities using Structural Equation Modelling -- Fog-Based Internet of Things Security Issues -- Estimation of Fatigue life of PLCC Solder Joints Under Vibration Loading. |
| Tipo de medio : |
Computadora |
| Summary : |
This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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