Computational Intelligence Techniques for Sustainable Supply Chain Management (eBook, ePUB)

Redaktion: Paul, Sanjoy Kumar; Kautish, Sandeep

• Format: ePub

Produktbeschreibung

Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances - such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency.



Computational Intelligence Techniques for

Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design.

• Serves as a reference on computational intelligence-enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business
• Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence
• Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 350
• Erscheinungstermin: 24. Mai 2024
• Englisch
• ISBN-13: 9780443184659
• Artikelnr.: 70758640

Inhaltsangabe

1. A review of computational tools, techniques, and methods for sustainable
supply chains
2. Big Data Analytics in Construction: Laying the Groundwork for Improved
Project Outcomes
3. Role of UAVs in Sustainable Supply Chain: Queuing theory and Ant Colony
Optimization Approach
4. Applying Machine Learning to investigate the enablers of Sustainable
Supply Chain Management
5. Scenario Analysis for Long-term Planning: Stratified Decision-Making
Models in Sustainable Supply Chains
6. Machine Learning Techniques for Sustainable Industrial Process Control
7. Intelligent Sustainable Infrastructure for procurement and distribution
8. Machine Learning Techniques for Route Optimizations and Logistics
Management Description
9. Improving Sustainable Supply Chain through Robotics
10. Computational techniques for green procurement and production
11. Predictive big data analytics for supply chain demand forecasting
12. Bayesian Network Based on Cross Bow-tie to Analyze Differential Effects
of Internal and External Risks on Sustainable Supply Chain
13. Optimizing Supply Chain Operations through Digitalization and
Customer-centric Strategies: A Case Study of Bigbasket.com
14. Applications of Artificial Intelligence in Echo Global Logistics