This book discusses action-oriented, concise and easy-to-communicate goals and challenges related to quality, reliability, infocomm technology and business operations. It brings together groundbreaking research in the area of software reliability, e-maintenance and big data analytics, highlighting the importance of maintaining the current growth in information technology (IT) adoption in businesses, while at the same time proposing process innovations to ensure sustainable development in the immediate future. In its thirty-seven chapters, it covers various areas of e-maintenance solutions, software architectures, patching problems in software reliability, preventive maintenance, industrial big data and reliability applications in electric power systems.
The book reviews the ways in which countries currently attempt to resolve the conflicts and opportunities related to quality, reliability, IT and business operations, and proposes that internationally coordinated researchplans are essential for effective and sustainable development, with research being most effective when it uses evidence-based decision-making frameworks resulting in clear management objectives, and is organized within adaptive management frameworks. Written by leading experts, the book is of interest to researchers, academicians, practitioners and policy makers alike who are working towards the common goal of making business operations more effective and sustainable.
Provides a unique combination of research in the areas of quality, reliability, information technology (IT), and business operations in one volume
Focuses on sustainable development and continuous improvement as a result of technological applications and organizational innovation in business domains
Discusses trends and developments in information technology information technology enabled services (IT/ITES), various business operations, as well as opportunities, challenges, and directions for its future
P.K. Kapur
Software Reliability Infocomm Technology Business Operations Quality Reliability Analysis Multi Criteria Decision Making Data Envelopment Analysis Big Data Analytics quality control, reliability, safety and risk