New Paradigm in Decision Science and Management

This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.

Auteur

Dr. Srikanta Patnaik is a Professor at the Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, India. Dr. Patnaik has published more than 60 research papers and book chapters, 2 textbooks, and has edited 12 books. He is the Editor-in-Chief of the International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics, both published by Inderscience, England, and Editor-in-Chief of the book series Modeling and Optimization in Science and Technology published by Springer, Germany.

Dr. Andrew W. H. Ip received his PhD from Loughborough University (UK), MBA from Brunel University (UK), MSc in Industrial Engineering from Cranfield University (UK) and LLB (Hons) from the University of Wolverhampton (UK). Dr. Ip is Principal Research Fellow of the Hong Kong Polytechnic University, Professor Emeritus and Adjunct Professor of Mechanical Engineering, University of Saskatchewan, Canada. He is a Visiting Professor at the Civil Aviation University of China, South China Normal University, and University of Electronic Science and Technology of China, and Honorary Industrial Fellow of the University of Warwick, Warwick Manufacturing Group. He is editor in chief of Enterprise Information Systems, Taylor and Francis (SCI indexed); founder and editor in chief of International Journal of Engineering Business Management, SAGE (ESCI and Scopus indexed).

Dr. Madjid Tavana is a Professor and Distinguished Chair of Business Analytics at La Salle University in Philadelphia, where he serves as Chairman of the Business Systems and Analytics Department. He also holds an Honorary Professorship in Business Information Systems at the University of Paderborn in Germany. Dr. Tavana is a Distinguished Research Fellow at the Kennedy Space Center, the Johnson Space Center, the Naval Research Laboratory at Stennis Space Center, and the Air Force Research Laboratory. He has published 15 books and over 250 research papers in scholarly academic journals, and is the Editor-in-Chief of several international journals.

Dr. Vipul Jain is currently working in the area of Operations and Supply Chain Management at Victoria Business School, Victoria University of Wellington, New Zealand. He has also worked as a French Government researcher for the French National Institute for Research in Computer Science and Control at Nancy, France. He is the Editor-in-Chief of the International Journal of Intelligent Enterprise and an Editorial Board Member for seven international journals.

Contenu

Quality Index Evaluation Model Based on Index Screening Model.- Selection of Software Development Methodologies (SDMs) Using Bayesian Analysis.- Universal Layers of IoT Architecture and its Security Analysis.- Development of Model for Sustainable Development in Agriculture using IoT based Smart Farming.- Optimization of PI Coefficients of PMSM Drive Using Particle Swarm Optimization.- Use of Fuzzy Enabled FOPID Controller for AGC Investigation Utilizing Squirrel Search Algorithm.- ACO based Secure Routing Protocols in MANETs.- An Approach Towards Integration of Big Data into Decision Making Process.- Design of Fuzzy Logic based PID Controller for Heat Exchanger used in Chemical Industry.- A Proposed Model Design under the Concept of Supply Chain Management for Construction Industry in Mainland China.