Data-driven optimization of manufacturing processes:
"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"--
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2021]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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"-- |
| Physical Description: | 23 PDFs (295 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781799872085 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00261590 | ||
| 003 | IGIG | ||
| 005 | 20201218124204.0 | ||
| 006 | m eo d | ||
| 007 | cr bn |||m|||a | ||
| 008 | 201219s2021 pau fob 001 0 eng d | ||
| 010 | |z 2020040226 | ||
| 020 | |a 9781799872085 |q ebook | ||
| 020 | |z 1799872084 | ||
| 020 | |z 9781799872061 |q hardcover | ||
| 020 | |z 9781799872078 |q paperback | ||
| 024 | 7 | |a 10.4018/978-1-7998-7206-1 |2 doi | |
| 035 | |a (CaBNVSL)slc00000987 | ||
| 035 | |a (OCoLC)1196821996 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a TS155.6 |b .D38 2021e | |
| 082 | 7 | |a 670.285 |2 23 | |
| 245 | 0 | 0 | |a Data-driven optimization of manufacturing processes |c Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2021] | |
| 300 | |a 23 PDFs (295 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 12/19/2020). | |
| 650 | 0 | |a Engineering economy |x Data processing. | |
| 650 | 0 | |a Manufacturing processes |x Data processing. | |
| 650 | 7 | |a Engineering economy |x Data processing |2 fast | |
| 650 | 7 | |a Manufacturing processes |x Data processing |2 fast | |
| 653 | |a Computational Intelligence. | ||
| 653 | |a Conventional Machining Processes. | ||
| 653 | |a Genetic Algorithm. | ||
| 653 | |a Manufacturing. | ||
| 653 | |a MOORA. | ||
| 653 | |a Non-Traditional Machine Processes. | ||
| 653 | |a Optimization. | ||
| 653 | |a Particle Swarm Optimization. | ||
| 653 | |a Predictive Modeling. | ||
| 653 | |a Soft Computing. | ||
| 653 | |a TOPSIS. | ||
| 700 | 1 | |a Gao, Xiao-Zhi |d 1972- |e editor. | |
| 700 | 1 | |a Ghadai, Ranjan |d 1990- |e editor. | |
| 700 | 1 | |a Kalita, Kanak |d 1988- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2020040226 | |
| 776 | 0 | 8 | |i Print version: |z 1799872068 |z 9781799872061 |w (DLC) 2020040226 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
| DE-BY-FWS_katkey | ZDB-98-IGB-00261590 |
|---|---|
| _version_ | 1826942599682850816 |
| adam_text | |
| any_adam_object | |
| author2 | Gao, Xiao-Zhi 1972- Ghadai, Ranjan 1990- Kalita, Kanak 1988- |
| author2_role | edt edt edt |
| author2_variant | x z g xzg r g rg k k kk |
| author_facet | Gao, Xiao-Zhi 1972- Ghadai, Ranjan 1990- Kalita, Kanak 1988- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TS155 |
| callnumber-raw | TS155.6 .D38 2021e |
| callnumber-search | TS155.6 .D38 2021e |
| callnumber-sort | TS 3155.6 D38 42021E |
| callnumber-subject | TS - Manufactures |
| collection | ZDB-98-IGB |
| contents | 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. |
| ctrlnum | (CaBNVSL)slc00000987 (OCoLC)1196821996 |
| dewey-full | 670.285 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.285 |
| dewey-search | 670.285 |
| dewey-sort | 3670.285 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04117nam a2200649 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00261590</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20201218124204.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn |||m|||a</controlfield><controlfield tag="008">201219s2021 pau fob 001 0 eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="z"> 2020040226</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781799872085</subfield><subfield code="q">ebook</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1799872084</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781799872061</subfield><subfield code="q">hardcover</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781799872078</subfield><subfield code="q">paperback</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/978-1-7998-7206-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00000987</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1196821996</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TS155.6</subfield><subfield code="b">.D38 2021e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">670.285</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Data-driven optimization of manufacturing processes </subfield><subfield code="c">Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) </subfield><subfield code="b">IGI Global</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">23 PDFs (295 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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"--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 12/19/2020).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Engineering economy</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Manufacturing processes</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Engineering economy</subfield><subfield code="x">Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Manufacturing processes</subfield><subfield code="x">Data processing</subfield><subfield code="2">fast</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computational Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Conventional Machining Processes.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Genetic Algorithm.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Manufacturing.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MOORA.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Non-Traditional Machine Processes.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Optimization.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Particle Swarm Optimization.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Predictive Modeling.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Soft Computing.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TOPSIS.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gao, Xiao-Zhi</subfield><subfield code="d">1972-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ghadai, Ranjan</subfield><subfield code="d">1990-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kalita, Kanak</subfield><subfield code="d">1988-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">(Original)</subfield><subfield code="w">(DLC)2020040226</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">1799872068</subfield><subfield code="z">9781799872061</subfield><subfield code="w">(DLC) 2020040226</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7206-1</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-98-IGB-00261590 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:34Z |
| institution | BVB |
| isbn | 9781799872085 |
| language | English |
| oclc_num | 1196821996 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 23 PDFs (295 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Data-driven optimization of manufacturing processes Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2021] 23 PDFs (295 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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. Restricted to subscribers or individual electronic text purchasers. "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"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/19/2020). Engineering economy Data processing. Manufacturing processes Data processing. Engineering economy Data processing fast Manufacturing processes Data processing fast Computational Intelligence. Conventional Machining Processes. Genetic Algorithm. Manufacturing. MOORA. Non-Traditional Machine Processes. Optimization. Particle Swarm Optimization. Predictive Modeling. Soft Computing. TOPSIS. Gao, Xiao-Zhi 1972- editor. Ghadai, Ranjan 1990- editor. Kalita, Kanak 1988- editor. IGI Global, publisher. (Original) (DLC)2020040226 Print version: 1799872068 9781799872061 (DLC) 2020040226 |
| spellingShingle | Data-driven optimization of manufacturing processes 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. Engineering economy Data processing. Manufacturing processes Data processing. Engineering economy Data processing fast Manufacturing processes Data processing fast |
| title | Data-driven optimization of manufacturing processes |
| title_auth | Data-driven optimization of manufacturing processes |
| title_exact_search | Data-driven optimization of manufacturing processes |
| title_full | Data-driven optimization of manufacturing processes Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. |
| title_fullStr | Data-driven optimization of manufacturing processes Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. |
| title_full_unstemmed | Data-driven optimization of manufacturing processes Kanak Kalita, Ranjan Ghadai, Xiao-Zhi Gao, editors. |
| title_short | Data-driven optimization of manufacturing processes |
| title_sort | data driven optimization of manufacturing processes |
| topic | Engineering economy Data processing. Manufacturing processes Data processing. Engineering economy Data processing fast Manufacturing processes Data processing fast |
| topic_facet | Engineering economy Data processing. Manufacturing processes Data processing. Engineering economy Data processing Manufacturing processes Data processing |
| work_keys_str_mv | AT gaoxiaozhi datadrivenoptimizationofmanufacturingprocesses AT ghadairanjan datadrivenoptimizationofmanufacturingprocesses AT kalitakanak datadrivenoptimizationofmanufacturingprocesses AT igiglobal datadrivenoptimizationofmanufacturingprocesses |