System Performance and Management Analytics, Softcover reprint of the original 1st ed. 2019 Asset Analytics Series
Langue : Anglais
This book shares key insights into system performance and management analytics, demonstrating how the field of analytics is currently changing and how it is used to monitor companies? efforts to drive performance.
Managing business performance facilitates the effective accomplishment of strategic and operational goals, and there is a clear and direct correlation between using performance management applications and improved business and organizational results. As such, performance and management analytics can yield a range of direct and indirect benefits, boost operational efficiency and unlock employees? latent potential, while at the same time aligning services with overarching goals.
The book addresses a range of topics, including software reliability assessment, testing, quality management, system-performance management, analysis using soft-computing techniques, and management analytics. It presents a balanced, holistic approach to viewing the world from both a technical and managerial perspective by considering performance and management analytics. Accordingly, it offers a comprehensive guide to one of the most pressing issues in today?s technology-dominated world, namely, that most companies and organizations find themselves awash in a sea of data, but lack the human capital, appropriate tools and knowledge to use it to help them create a competitive edge.
Use of Bayesian Networks for System Reliability Assessment.- An Improved Method of Predicting Code Merge Conflicts and Selecting Optimal Code Branching Strategy in an Enterprise.- Reliability Improvement of Distribution System by Optimal Sitting and Sizing of Disperse Generation.- Testing The Effects of Agile and Flexible Supply Chain on the Firm Performance through Sem.- Analysis and Countermeasures for Security and Privacy Issues in Cloud Computing.- An Efficient Approach for Web Usage Mining Using Ann Technique.- Natural Language Processing Approach to Identify Analogous Data in Offline Data Repository.- Multirelease.- Barriers to Agile Adoption: A Developer Perspective.- Comparative Analysis between Manual and Automated Testing using Topsis Method.- Analysis of Requirement Prioritization based Regression Testing.- Formulation of Error Generation Based Srgm under the Infuence of Irregular Fluctuations.- Decision Aspect Prioritisation Technique for Incremental Software.- Change Pointbased Reliability Growth Model for Multi-Release Open Source Software Systems.- Improvisation of Reusability Oriented Software Testing.- Water Treatment System Performance Evaluation Under Maintenance Policies.- Prediction of El Nino Year and Performance Analysis on the Calculated Correlation Coefficients.- Transforming Service Organizations at Uae: Impact of Operations Management on Operational Performance.- Performance of Static Spatial Topologies in Fine-Grained Qea on P-Peaks Problem Instances.- Android Malware Detection using Code Graphs.- Security in Zigbee using Stegnography for Iot Communications.- Six Sigma Application in the Production of Drugs.- Developing Plans for Qfd-Based Quality Enhancement.- An Efficient Approach for Web Usage Mining Using Ann Technique.- Modified Counting Sort.- Performance of Static Spatial Topologies in Fine-Grained Qea on P-Peaks Problem Instances.- Analysis of Existing Clustering Algorithms for Wireless Sensor Networks.- Hybrid Nature Inspired Algorithms: Methodologies, Architecture and Reviews.- Analysis of Requirement Prioritization Based Regression Testing.- Investigation of Service Quality Operation Linkage in Automobile Industry of India after Sales Market.- Improvisation of Reusability Oriented Software Testing.- Processing Mining for Maintenance Decision Support.- Software Release Time Problem - Revisited.- Multi Generation Adoption with Change Point: Technology Diffusion Modelling.- Diffusion Modelling Framework for Adoption of Competitive Brands.
Prof. P.K. Kapur is the Director, Center for Interdisciplinary Research, Amity University, Noida and Former Dean of the Faculty of Mathematical Sciences and Head of the Department of Operational Research, University of Delhi, India. He has supervised over 40 PhDs and 25 M.Phil dissertations in the areas of Innovation Diffusion in Marketing, Software Reliability, Reliability-based optimization, and Multi-Criteria Decision Making and other areas of management. He is the author of two world-renowned books “Software Reliability Assessment with O.R. Applications”, Springer UK (2011) and “Contributions to Hardware and Software Reliability”, (1999), World Scientific, Singapore. He has been the President of the SREQOM (Regd.) since 2000 and former President of ORSI. He is the Editor-in-Chief of IJSAEM, Springer and has published over 300 papers in Indian journals and abroad in the areas of Marketing, multiple-criteria decision-making (MCDM), Optimization, Hardware and Software Reliability.
Prof. Yury S. Klochkov is the Director, Monitoring Center for Education and Research, and Professor, Department of Economics and Management in Mechanical Engineering, St. Petersburg Polytechnic University, St. Petersburg, Russia. He was awarded the title of an honorary professor of Amity University, Noida, India in September 2016. He was awarded the PhD degree in Standardization and Quality Management in 2006, and the postdoctoral degree, Doctor of Sciences in Standardization and Quality Management in 2012. Klochkov is the author of about 100 publications in the areas of Quality Management and has implemented the results of his research in over 50 Russian enterprises.
Ajit K. Verma is a Professor (Technical Safety) of Engineering, Western Norway University of Applied Sciences, Haugesund, Norway (since March 2012) and was a Professor (since February 2001–December 2012) and Senior (HAG) scale Professor (January 2013–January 2
Provides a comprehensive guide to business analytics for readers from various branches of engineering and management Establishes a common dashboard across various teams and organizations by helping accelerate time-to-value with the implementation of business intelligence within the base Helps companies anticipate technological trends, prioritize resources, deliver automation and services, and continually improve their services and align them with overall business goals
Date de parution : 12-2018
Ouvrage de 418 p.
15.5x23.5 cm
Date de parution : 08-2018
Ouvrage de 418 p.
15.5x23.5 cm
Thèmes de System Performance and Management Analytics :
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