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Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach

This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With t...

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Bibliografische gegevens
Coauteur: SpringerLink (Online service)
Andere auteurs: Pham, Duc Truong (Redacteur), Hartono, Natalia (Redacteur)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer International Publishing : Imprint: Springer, 2023.
Editie:1st ed. 2023.
Reeks:Springer Series in Advanced Manufacturing,
Onderwerpen:
Industrial engineering.
Automation.
Artificial intelligence.
Production engineering.
Cloud Computing.
Robotics.
Machine learning.
Industrial Automation.
Artificial Intelligence.
Industrial and Production Engineering.
Machine Learning.
Online toegang:https://doi.org/10.1007/978-3-031-14537-7
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Inhoudsopgave:
  • Chapter 1. The Bees Algorithm Introduction
  • Part 1: Processes
  • Chapter 2. Minimising Printed Circuit Board Assembly Time
  • Chapter 3. A Digital Twin for Optimising Wire EDM
  • Chapter 4. Case Study with BEE-miner
  • Chapter 5. Application to Pulsating Hydroforming
  • PART 2: Equipment
  • Chapter 6. Shape Recognition for Robot Manipulation
  • Chapter 7. Tool Wear Identification and Measurement
  • Chapter 8. Point Cloud Registration
  • Chapter 9. PID Tuning Toolkit
  • Chapter 10. Effect of Harmony Memory Integration
  • Chapter 11. Multilevel Image Thresholding
  • Chapter 12. Robot Path Planning
  • Part 3. Production Pans
  • Chapter 13. Production Planning and Scheduling of Flexible Manufacturing Plant
  • Chapter 14. Parallel Machine Scheduling Problem
  • Chapter 15. Cloud-Edge Collaborative Manufacturing Task Scheduling
  • Part 4. Logistics And Supply Chain
  • Chapter 16. Bees Traplining Metaphors for Vehicle Routing
  • Chapter 17. Supply Chain Design
  • Part 5. Remanufacturing
  • Chapter 18. Robotic Disassembly Planning
  • Chapter 19. Multi-objective Optimisation of Robotic Disassembly Plans
  • Chapter 20. Task Optimisation for a Modern Cloud Remanufacturing System
  • Chapter 21. Prediction of Engine Remaining Useful Life.

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