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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 / edited by Pankaj Dutta, Sudeep Bapat, Dipak Jana, Anil Kumar, Naoufel Cheikhrouhou.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Dutta, Pankaj.
Contributor:
Dutta, Pankaj., Editor.
Bapat, Sudeep., Editor.
Jana, Dipak., Editor.
Kumar, Anil., Editor.
Cheikhrouhou, Naoufel., Editor.
Series:
Learning and Analytics in Intelligent Systems, 2662-3455 ; 60
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Marketing research.
Business intelligence.
Big data.
Medical informatics.
Computational Intelligence.
Artificial Intelligence.
Market Research and Competitive Intelligence.
Big Data.
Health Informatics.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Market Research and Competitive Intelligence.
Big Data.
Health Informatics.
Physical Description:
1 online resource (XXIII, 560 p. 176 illus., 140 illus. in color.)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
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.
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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9554-29-2
OCLC:
1574122924

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