Advances in Applied Operations Research and Analytics for Business Intelligence - Proceedings of International Conference on Emerging Trends in Business Analytics & Management Sciences 2024, Volume 1

This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12 14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.

List of contents

1. Sales Forecasting for Products with Low Historical Data and Intermittent Demand.- 2. Forecasting Airline Passenger Demand: A Methodology for Optimum Forecast using TAF model.- 3. Demand Forecasting for Spare Parts: A Systematic Literature Review (2015-2023).- 4. Optimizing Inventory Management with a Stackelberg Game Approach: A Retailer-Manufacturer Model.- 5. Clearance Sale Models under Competition.- 6. Metaphor Free Rao Algorithms for Discrete Combinatorial Optimization: Flow Shop Scheduling Problem.- 7. BSD-MTSP Solver: A Tool for Bounded Single Depot Multiple Travelling Salesman Problems.- 8. Performance Analysis of Metaheuristic Algorithms on Asymmetric Travelling Salesman Problems.- 9. Ranking of Priority Sequencing Rules Based on Performance Measures in Scheduling.- 10. Optimizing Hydropower Generation through Evolutionary Algorithm Technique of Karun Reservoir.

About the author

Prof. Pankaj Dutta is Professor in decision sciences and operations research at the School of Management, Indian Institute of Technology (IIT) Bombay, Mumbai, India. He holds a Ph.D. degree from IIT Kharagpur, India, and is Postdoctoral Fellow from EPFL, Swiss Federal Institute of Technology, Switzerland. He has worked as INSA Fellow at Karlsruhe Institute of Technology, Germany, and DAAD Visiting Professor at Humboldt University of Berlin, Germany. He served as Associate Editor of OPSEARCH and Guest Editor, Editorial Board Member, and Reviewer of several international journals. He is Central Council Member of the Operational Research Society of India (ORSI). He is also featured in the world’s top 2% Scientist’s database (single-year) based on a study conducted by Stanford University, USA. His current areas of research interest include supply chain management, reverse logistics, data analytics, e-commerce, crowdfunding, MCDM, and decision-making under risk and uncertainty. 
Prof. Sudeep R. Bapat is Assistant Professor in the decision sciences area at the Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay. He had his schooling and undergraduate education in New Delhi. He obtained his bachelor’s degree in statistics from the University of Delhi, a master’s in science in applied statistics and informatics from the Indian Institute of Technology, Bombay, and Ph.D. from the University of Connecticut, USA, in 2017. His thesis mainly concentrates on the area of sequential methodologies and applications. Some of his Ph.D. research includes estimation of parameters under a sequential sampling strategy, which is beneficial under many practical real-world examples such as health studies, ecology, and finance. He later worked as Visiting Assistant Professor in the Probability and Statistics Department of the University of California, Santa Barbara, and as Assistant Professor at the Indian Institute of Management, Indore. 
Prof. Dipak Kumar Jana did Ph.D. from Indian Institute of Engineering Science and Technology, Shibpur, and did his post-graduation (M.Sc.) in applied mathematics with specialization in operations research from Vidyasagar University, West Bengal. He has qualified in the National Eligibility Test (NET-CSIR) for Junior Research Fellow (JRF) and GATE. He has been teaching mathematics both at undergraduate and postgraduate levels. He is Ex-HOD and Professor in the Department of Applied Science, Haldia Institute of Technology, Haldia, West Bengal. Dr. Jana is Member of Operational Research Society of India, Indian Science Congress Association, Calcutta Mathematical Society. Dr. Jana has published more than 65 papers in esteemed International journals. He has also reviewed several texts and reference books on mathematics. He is Organizing Chair of Internal Conferences ICITAM 2019, ICEMC 2020. He has edited a book, Volume 699 of Advances in Intelligent Systems and Computing, Springer Singapore, 2018.
Prof. Anil Kumar is a Professor of Operations, Supply Chain, and Business Analytics at London Metropolitan University (LMU), UK. With over fifteen years of teaching and research experience, he brings a wealth of expertise to his role. Prior to joining LMU, he served as a Postdoctoral Research Fellow in Decision Sciences at the Centre for Supply Chain Improvement, University of Derby, UK. He holds a Ph.D. in Management Science from the ABV-Indian Institute of Information Technology and Management, Gwalior, India, as well as Bachelor’s and Master’s degrees in Mathematics from Kurukshetra University, India. In addition, he completed an MBA and qualified for the National Eligibility Test (NET). Prof. Kumar's outstanding contributions to research have earned him international recognition, including being ranked in the World Top 1% by Web of Science in 2024, and in the world Top 2% by Stanford University-Elsevier in 2025, 2024, 2023, and 2022.
Prof. Naoufel Cheikhrouhou is Professor of supply chain, logistics, and operations management at the Geneva School of Business Administration, Switzerland, since 2014. Between 2001 and 2014, he led the Operations Management group at EPFL, Swiss Federal Institute of Technology, Lausanne. His main research interests are modeling, simulation and optimization of supply chains, human factors in production management, and logistics and hybrid forecasting methodologies, for which Dr. Cheikhrouhou received the Burbidge Award in 2003 and the BG Ing Conseil in 2014. He has several high-quality publications in reputed international journals like International Journal of Production Research, Computers & Industrial Engineering, Applied Soft Computing, Computers in Industry, International Journal of Production Economics, Production Planning and Control, Annals of Operations Research, Transportation Research Part E: Logistics and Review, Sustainable Production and Consumption, Journal of Enterprise Information Management among others.

Summary

This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12–14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.

Product details

• Assisted by: Sudeep Bapat (Editor), Naoufel Cheikhrouhou (Editor), Pankaj Dutta (Editor), Dipak Jana (Editor), Dipak Jana et al (Editor), ANIL KUMAR (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 27.02.2026
• EAN: 9789819554287
• ISBN: 978-981-9554-28-7
• No. of pages: 558
• Illustrations: XVIII, 558 p. 171 illus., 143 illus. in color.
• Series: Learning and Analytics in Intelligent Systems
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Marktforschung, Operations Research, Data Science, Big Data, Datenbanken, Artificial Intelligence, Computeranwendungen in Industrie und Technologie, business analytics, Health Informatics, Computational Intelligence, Market Research and Competitive Intelligence, Proceedings of BAMS 2024