大葉大學圖書館 |

Data-driven optimization of manufacturing processes[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	670.285
書名/作者:	Data-driven optimization of manufacturing processes/ Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors.
其他作者:	Kalita, Kanak,
出版者:	Hershey, Pennsylvania : : IGI Global,, 2021.
面頁冊數:	1 online resource (xvi, 298 p.)
標題:	Manufacturing processes - Data processing.
標題:	Engineering economy - Data processing.
ISBN:	9781799872085 (ebk.)
ISBN:	9781799872061 (hbk.)
ISBN:	9781799872078 (pbk.)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	"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"--
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1

Data-driven optimization of manufacturing processes[electronic resource] /
Data-driven optimization of manufacturing processes[electronic resource] /Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xvi, 298 p.)

Includes bibliographical references and index.

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.

"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"--

ISBN: 9781799872085 (ebk.)Subjects--Topical Terms:

488549
Manufacturing processes
--Data processing.

LC Class. No.: TS155.6 / .D38 2021

Dewey Class. No.: 670.285

Data-driven optimization of manufacturing processes[electronic resource] /
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300 $a 1 online resource (xvi, 298 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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"-- $c Provided by publisher.
650 0 $a Manufacturing processes $x Data processing. $3 488549
650 0 $a Engineering economy $x Data processing. $3 750506
700 1 $a Kalita, Kanak, $d 1988- $3 750504
700 1 $a Ghadai, Ranjan, $d 1990- $3 750505
700 1 $a Gao, Xiao-Zhi, $d 1972- $e editor. $3 690164
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