LEADER 04118nam  22005895  450 
001 9911018665303321
005 20250806180629.0
010   $a9789819652570$b(electronic bk.)
010   $z9789819652563
024 7 $a10.1007/978-981-96-5257-0
035   $a(MiAaPQ)EBC32256209
035   $a(Au-PeEL)EBL32256209
035   $a(CKB)40138072800041
035   $a(DE-He213)978-981-96-5257-0
035   $a(EXLCZ)9940138072800041
100   $a20250806d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aOptimization Methods in Manufacturing Processes $eA Machine-Generated Literature Overview /$fedited by Anand J. Kulkarni
205   $a1st ed. 2025.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025.
215   $a1 online resource (541 pages)
311 08$aPrint version: Kulkarni, Anand J. Optimization Methods in Manufacturing Processes Singapore : Springer,c2025 9789819652563 
327   $a1. Optimization Methods in Material Handling -- 2. Optimization Methods in Traditional Machining Processes -- 3. Optimization Methods in Advanced Machining Processes -- 4. Optimization Methods in Production Planning and Scheduling -- 5. Optimization Methods in Assembly Line Management -- 6. Optimization Methods in Fault Detection and Diagnosis -- 7. Optimization Methods in Material Waste Management -- 8. Optimization Methods in Staff Scheduling and Allocation -- 9. Optimization Methods in Machine Drawings -- 10. Optimization Methods in Maintenance of Machines.
330   $aThis book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
606   $aIndustrial engineering
606   $aProduction engineering
606   $aMachinery
606   $aMathematical optimization
606   $aIndustrial and Production Engineering
606   $aMachinery and Machine Elements
606   $aProcess Engineering
606   $aOptimization
615  0$aIndustrial engineering.
615  0$aProduction engineering.
615  0$aMachinery.
615  0$aMathematical optimization.
615 14$aIndustrial and Production Engineering.
615 24$aMachinery and Machine Elements.
615 24$aProcess Engineering.
615 24$aOptimization.
676   $a670.42
700   $aKulkarni$b Anand J$01368635
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9911018665303321
996   $aOptimization Methods in Manufacturing Processes$94414946
997   $aUNINA