LEADER 05138nam 22007695 450 001 9910631077403321 005 20230205135723.0 010 $a3-031-14537-2 024 7 $a10.1007/978-3-031-14537-7 035 $a(MiAaPQ)EBC7143546 035 $a(Au-PeEL)EBL7143546 035 $a(CKB)25402383900041 035 $a(DE-He213)978-3-031-14537-7 035 $a(PPN)266349544 035 $a(EXLCZ)9925402383900041 100 $a20221119d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Production and Manufacturing Optimisation?The Bees Algorithm Approach /$fedited by Duc Truong Pham, Natalia Hartono 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (396 pages) 225 1 $aSpringer Series in Advanced Manufacturing,$x2196-1735 311 08$aPrint version: Pham, Duc Truong Intelligent Production and Manufacturing Optimisation--The Bees Algorithm Approach Cham : Springer International Publishing AG,c2023 9783031145360 327 $aChapter 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. 330 $a This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond. . 410 0$aSpringer Series in Advanced Manufacturing,$x2196-1735 606 $aIndustrial engineering 606 $aAutomation 606 $aArtificial intelligence 606 $aProduction engineering 606 $aCloud computing 606 $aRobotics 606 $aMachine learning 606 $aIndustrial Automation 606 $aArtificial Intelligence 606 $aIndustrial and Production Engineering 606 $aCloud Computing 606 $aRobotics 606 $aMachine Learning 615 0$aIndustrial engineering. 615 0$aAutomation. 615 0$aArtificial intelligence. 615 0$aProduction engineering. 615 0$aCloud computing. 615 0$aRobotics. 615 0$aMachine learning. 615 14$aIndustrial Automation. 615 24$aArtificial Intelligence. 615 24$aIndustrial and Production Engineering. 615 24$aCloud Computing. 615 24$aRobotics. 615 24$aMachine Learning. 676 $a670 676 $a006.3824 700 $aPham$b D. T.$0627419 702 $aHartono$b Natalia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910631077403321 996 $aIntelligent Production and Manufacturing Optimisation?The Bees Algorithm Approach$93340745 997 $aUNINA