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Boukachour, Jaouad, et al., editors. Global Insights and Applications of Operational Research and Decision Support. IGI Global Scientific Publishing, 2026. https://doi.org/10.4018/979-8-3693-7615-7

APA

Boukachour, J., Benaini, A., & Bouyahia, F. (Eds.). (2026). Global Insights and Applications of Operational Research and Decision Support. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-7615-7

Chicago

Boukachour, Jaouad, Abdelhamid Benaini, and Fatima Bouyahia, eds. Global Insights and Applications of Operational Research and Decision Support. Hershey, PA: IGI Global Scientific Publishing, 2026. https://doi.org/10.4018/979-8-3693-7615-7

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Global Insights and Applications of Operational Research and Decision Support

Jaouad Boukachour (University of Le Havre, France), Abdelhamid Benaini (University of Le Havre, France), and Fatima Bouyahia (Cadi Ayyad University, Morocco)

Out of print.

Publication Status: Out of Print

ISBN13: 9798369376157

ISBN13 Softcover: 9798369376164

EISBN13: 9798369376171

DOI: 10.4018/979-8-3693-7615-7

Description:

Operational research and decision support systems are vital tools for solving complex problems across sectors such as healthcare, logistics, and finance. As global challenges like climate change and resource scarcity intensify, these methods offer strategic ways to optimize resource use, reduce waste, and support environmentally sustainable practices. By integrating sustainability into modeling and analysis, operational research can drive meaningful change toward greener systems and policies. These approaches also foster interdisciplinary collaboration, enabling more informed and impactful decision-making in both public and private sectors.

Global Insights and Applications of Operational Research and Decision Support showcases the latest advancements in operational research and decision support. It emphasizes the importance of sustainability and environmental considerations in operational research. Covering topics such as analytic network process, graph processing, and production planning, this book is an excellent resource for business practitioners, researchers, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Analytic Network Process
Clean Energy Technology
Deep Learning Models
Enterprise Efficiency
Fleet Management
Genetic Algorithms
Graph Processing
Logistics
Logistics Optimization
Machine Scheduling
Manufacturing Process
Operational Research
Production Planning

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Jaouad Boukachour is an associate professor of computer sciences at the University of Le Havre Normandie since 1993. He received his PhD in computer science in 1992 from the University of Rouen, and accreditation to supervise researches from the University of Le Havre in 2006 (France). His primary research interests are in scheduling problems, hard optimization, and supply chain and logistics information systems. He has more than 30 refereed research papers. He supervised a number of PhD researchers, acts as a scientific director of various research projects and serves as a peer reviewer for international journals.

Abdelhamid Benaini is a Professor of Computer Sciences at the University of Le Havre Normandie since 2000. He received a PhD in Applied Maths from the INP-Grenoble and a PhD in Computer Sciences from the ENS-Lyon. His current research themes concern the applications of High Performance Computing and Artificial Intelligence in the field of optimization and transport logistics.

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