Industrial Decision Analysis: Theory and Applications of MCDM Methods
English | 2026 | ISBN-10: 3032242983 | 261 pages| Epub PDF
This book provides a comprehensive and practical
guide to Multi-Criteria Decision-Making (MCDM) methods, with a strong
focus on their industrial applications for solving complex real-world
challenges. It bridges the gap between theoretical foundations and
practical implementation, offering clear, actionable insights for
professionals and researchers in engineering, operations management, and
business analytics. By combining rigorous methodology with practical
relevance, the book equips readers to make informed decisions in
environments where trade-offs between cost, quality, and sustainability
are critical.
Exploring advanced techniques such as AHP, TOPSIS,
DEMATEL, and PROMETHEE, the book situates MCDM within industrial
contexts like supply chain optimization, sustainability assessment, and
risk management. It addresses the growing need for structured
decision-making frameworks in data-driven settings and integrates
Industry 4.0 technologies, including AI and IoT, to enable dynamic and
adaptive strategies. Through real-world case studies from manufacturing,
logistics, and energy sectors, it demonstrates how MCDM enhances
transparency, resilience, and adaptability, making it an essential
resource for academics, practitioners, and graduate students seeking to
master decision analysis in modern industrial landscapes.