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Intelligent production and manufactu...

Pham, Duc Truong.

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Intelligent production and manufacturing optimisation = the bees algorithm approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent production and manufacturing optimisation/ edited by Duc Truong Pham, Natalia Hartono.
其他題名:	the bees algorithm approach /
其他作者:	Pham, Duc Truong.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiii, 402 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Swarm intelligence. -
電子資源:	https://doi.org/10.1007/978-3-031-14537-7
ISBN:	9783031145377

Intelligent production and manufacturing optimisation = the bees algorithm approach /
Intelligent production and manufacturing optimisationthe bees algorithm approach /[electronic resource] :edited by Duc Truong Pham, Natalia Hartono. - Cham :Springer International Publishing :2023. - xiii, 402 p. :ill., digital ;24 cm. - Springer series in advanced manufacturing,2196-1735. - Springer series in advanced manufacturing..

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.

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.

ISBN: 9783031145377

Standard No.: 10.1007/978-3-031-14537-7doiSubjects--Topical Terms:

577800
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

Intelligent production and manufacturing optimisation = the bees algorithm approach /
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