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.
