| Record Type: |
Electronic resources
: Monograph/item
|
| [NT 15000414]: |
670.285 |
| Title/Author: |
Data-driven optimization of manufacturing processes/ Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. |
| other author: |
Kalita, Kanak, |
| Published: |
Hershey, Pennsylvania : : IGI Global,, 2021. |
| Description: |
1 online resource (xvi, 298 p.) |
| Subject: |
Manufacturing processes - Data processing. |
| Subject: |
Engineering economy - Data processing. |
| ISBN: |
9781799872085 (ebk.) |
| ISBN: |
9781799872061 (hbk.) |
| ISBN: |
9781799872078 (pbk.) |
| [NT 15000227]: |
Includes bibliographical references and index. |
| [NT 15000228]: |
Chapter 1. Minimization of casting defects using Taguchi method -- Chapter 2. Evaluation of optimum parameters for casting of Birla Lance pipes -- Chapter 3. Investigating the effect of process parameters in incremental sheet forming process -- Chapter 4. Optimization of surface roughness in centreless grinding process based on Taguchi method -- Chapter 5. MOORA-driven decision making to select the optimal specimen of organic CMCs -- Chapter 6. TOPSIS-based selection of optimal proportion among different combinations of hybrid AMCs -- Chapter 7. A comparative assessment of TOPSIS variants in multi-attribute optimization of EDM process parameters -- Chapter 8. An integrated CRITIC-MARCOS technique for analysing the performance of steel industry -- Chapter 9. Data-driven genetic programming-based symbolic regression metamodels for EDM process -- Chapter 10. Machine learning-based predictive modelling of dry electric discharge machining process -- Chapter 11. Non-traditional machining process selection: a holistic approach from a customer standpoint -- Chapter 12. Parametric optimization of electrochemical discharge machining using particle swarm optimization algorithm -- Chapter 13. Optimization of drilling parameters for composite laminate using genetic algorithm -- Chapter 14. Solution for multi-objective single row facility layout problem using PSO algorithm -- Chapter 15. Progress in optimization of physical vapor deposition of thin films. |
| [NT 15000229]: |
"This book is a compilation of chapters on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization, offering both soft computing approaches and machining processes"-- |
| Online resource: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1 |