國立高雄大學圖資館 |

登入

回首頁

Intelligent production and manufacturing optimisationthe bees algorithm approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent production and manufacturing optimisationedited 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.
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$q(electronic bk.)

Intelligent production and manufacturing optimisationthe 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$q(electronic bk.)

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

237730
Swarm intelligence.

LC Class. No.: Q337.3

Dewey Class. No.: 006.3824

Intelligent production and manufacturing optimisationthe bees algorithm approach /
LDR:03679nmm a2200337 a 4500 001 645182
003 DE-He213
005 20221119115309.0
006 m d
007 cr nn 008maaau
008 231208s2023 sz s 0 eng d
020 $a 9783031145377$q(electronic bk.)
020 $a 9783031145360$q(paper)
024 7 $a 10.1007/978-3-031-14537-7 $2 doi
035 $a 978-3-031-14537-7
040 $a GP $c GP $e rda
041 0 $a eng
050 4 $a Q337.3
072 7 $a TBM $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TBM $2 thema
082 0 4 $a 006.3824 $2 23
090 $a Q337.3 $b .I61 2023
245 0 0 $a Intelligent production and manufacturing optimisation $h [electronic resource] : $b the bees algorithm approach / $c edited by Duc Truong Pham, Natalia Hartono.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xiii, 402 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer series in advanced manufacturing, $x 2196-1735
505 0 $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.
520 $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.
650 0 $a Swarm intelligence. $3 237730
650 0 $a Manufacturing processes $x Automation. $3 189491
650 1 4 $a Industrial Automation. $3 919007
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Cloud Computing. $3 777671
650 2 4 $a Robotics. $3 181952
650 2 4 $a Machine Learning. $3 833608
700 1 $a Pham, Duc Truong. $3 953915
700 1 $a Hartono, Natalia. $3 953916
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer series in advanced manufacturing. $3 558114
856 4 0 $u https://doi.org/10.1007/978-3-031-14537-7
950 $a Engineering (SpringerNature-11647)