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221201 ||| eng |
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|a 9783031145377
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| 100 |
1 |
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|a Pham, Duc Truong
|e [editor]
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| 245 |
0 |
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|a Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach
|h Elektronische Ressource
|c edited by Duc Truong Pham, Natalia Hartono
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2023, 2023
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| 300 |
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|a XIII, 402 p. 190 illus., 139 illus. in color
|b online resource
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| 505 |
0 |
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|a 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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| 653 |
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|a Industrial Automation
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| 653 |
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|a Machine learning
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| 653 |
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|a Industrial engineering
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| 653 |
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|a Machine Learning
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Cloud Computing
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| 653 |
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|a Industrial and Production Engineering
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Robotics
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| 653 |
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|a Automation
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| 653 |
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|a Production engineering
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| 700 |
1 |
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|a Hartono, Natalia
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Springer Series in Advanced Manufacturing
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| 028 |
5 |
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|a 10.1007/978-3-031-14537-7
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-14537-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 629.8
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| 520 |
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|a 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 the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.
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