04118nam 22005895 450 991101866530332120250806180629.09789819652570(electronic bk.)978981965256310.1007/978-981-96-5257-0(MiAaPQ)EBC32256209(Au-PeEL)EBL32256209(CKB)40138072800041(DE-He213)978-981-96-5257-0(EXLCZ)994013807280004120250806d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierOptimization Methods in Manufacturing Processes A Machine-Generated Literature Overview /edited by Anand J. Kulkarni1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (541 pages)Print version: Kulkarni, Anand J. Optimization Methods in Manufacturing Processes Singapore : Springer,c2025 9789819652563 1. 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.This 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.Industrial engineeringProduction engineeringMachineryMathematical optimizationIndustrial and Production EngineeringMachinery and Machine ElementsProcess EngineeringOptimizationIndustrial engineering.Production engineering.Machinery.Mathematical optimization.Industrial and Production Engineering.Machinery and Machine Elements.Process Engineering.Optimization.670.42Kulkarni Anand J1368635MiAaPQMiAaPQMiAaPQ9911018665303321Optimization Methods in Manufacturing Processes4414946UNINA