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001453424 001__ 1453424
001453424 003__ OCoLC
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001453424 019__ $$a1351451981$$a1351747289
001453424 020__ $$a9783031145377$$q(electronic bk.)
001453424 020__ $$a3031145372$$q(electronic bk.)
001453424 020__ $$z9783031145360
001453424 020__ $$z3031145364
001453424 0247_ $$a10.1007/978-3-031-14537-7$$2doi
001453424 035__ $$aSP(OCoLC)1352872046
001453424 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001453424 049__ $$aISEA
001453424 050_4 $$aQ337.3
001453424 08204 $$a006.3/824$$223/eng/20221202
001453424 24500 $$aIntelligent production and manufacturing optimisation :$$bthe bees algorithm approach /$$cDuc Truong Pham, Natalia Hartono, editors.
001453424 264_1 $$aCham :$$bSpringer,$$c[2023]
001453424 300__ $$a1 online resource :$$billustrations (black and white, and color).
001453424 336__ $$atext$$btxt$$2rdacontent
001453424 337__ $$acomputer$$bc$$2rdamedia
001453424 338__ $$aonline resource$$bcr$$2rdacarrier
001453424 4901_ $$aSpringer series in advanced manufacturing
001453424 5050_ $$aChapter 1. The Bees Algorithm Introduction -- Part 1: Processes -- Chapter 2. Minimising Printed Circuit Board Assembly Time -- Chapter 3. A Digital Twin for Optimising Wire EDM -- Chapter 4. Case Study with BEE-miner -- Chapter 5. Application to Pulsating Hydroforming -- PART 2: Equipment -- Chapter 6. Shape Recognition for Robot Manipulation -- Chapter 7. Tool Wear Identification and Measurement -- Chapter 8. Point Cloud Registration -- Chapter 9. PID Tuning Toolkit -- Chapter 10. Effect of Harmony Memory Integration -- Chapter 11. Multilevel Image Thresholding -- Chapter 12. Robot Path Planning -- Part 3. Production Pans -- Chapter 13. Production Planning and Scheduling of Flexible Manufacturing Plant -- Chapter 14. Parallel Machine Scheduling Problem -- Chapter 15. Cloud-Edge Collaborative Manufacturing Task Scheduling -- Part 4. Logistics And Supply Chain -- Chapter 16. Bees Traplining Metaphors for Vehicle Routing -- Chapter 17. Supply Chain Design -- Part 5. Remanufacturing -- Chapter 18. Robotic Disassembly Planning -- Chapter 19. Multi-objective Optimisation of Robotic Disassembly Plans -- Chapter 20. Task Optimisation for a Modern Cloud Remanufacturing System -- Chapter 21. Prediction of Engine Remaining Useful Life.
001453424 506__ $$aAccess limited to authorized users.
001453424 520__ $$aThis book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.
001453424 588__ $$aDescription based on print version record.
001453424 650_0 $$aSwarm intelligence.
001453424 650_0 $$aManufacturing processes$$xAutomation.
001453424 655_0 $$aElectronic books.
001453424 7001_ $$aPham, D. T.,$$eeditor.$$1https://isni.org/isni/0000000110807949
001453424 7001_ $$aHartono, Natalia,$$eeditor.
001453424 77608 $$iPrint version:$$tIntelligent production and manufacturing optimisation.$$dCham : Springer, 2022$$z9783031145360$$w(OCoLC)1346949557
001453424 830_0 $$aSpringer series in advanced manufacturing.
001453424 852__ $$bebk
001453424 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-14537-7$$zOnline Access$$91397441.1
001453424 909CO $$ooai:library.usi.edu:1453424$$pGLOBAL_SET
001453424 980__ $$aBIB
001453424 980__ $$aEBOOK
001453424 982__ $$aEbook
001453424 983__ $$aOnline
001453424 994__ $$a92$$bISE