Handbook of research on applied optimization methodologies in manufacturing systems:
"This book presents applications of heuristic and metaheuristic algorithms in manufacturing systems. This book discusses the main heuristic and metaheuristic methods to manage and optimize the problems in manufacturing systems and examines the two main levels of decision systems in production:...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "This book presents applications of heuristic and metaheuristic algorithms in manufacturing systems. This book discusses the main heuristic and metaheuristic methods to manage and optimize the problems in manufacturing systems and examines the two main levels of decision systems in production: the middle term (tactical) and short term (operational)"-- |
Beschreibung: | 26 PDFs (xxx, 449 pages) Also available in print. |
Format: | Mode of access: World Wide Web. |
Bibliographie: | Includes bibliographical references. |
ISBN: | 9781522529453 |
Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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010 | |z 2017012416 | ||
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035 | |a (CaBNVSL)slc19559981 | ||
035 | |a (OCoLC)1010994516 | ||
040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
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245 | 0 | 0 | |a Handbook of research on applied optimization methodologies in manufacturing systems |c Omer Faruk Yilmaz and Suleyman Tufekci, editors. |
264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
300 | |a 26 PDFs (xxx, 449 pages) | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references. | ||
505 | 0 | |a Section 1. Applications of heuristic and metaheuristic algorithms in manufacturing systems. Chapter 1. Scheduling in flexible manufacturing systems: genetic algorithms approach ; Chapter 2. Application and evaluation of bee-based algorithms in scheduling: a case study on project scheduling ; Chapter 3. Metaheuristic approaches for extrusion manufacturing process: utilization of flower pollination algorithm and particle swarm optimization ; Chapter 4. A heuristic approach for car sequencing problem including assembly ratio and color constraints ; Chapter 5. Hub location allocation problems and solution algorithms ; Chapter 6. Heuristic approaches in clustering problems ; Chapter 7. An integrated methodology for order release and scheduling in hybrid manufacturing systems: considering worker assignment and utility workers ; Chapter 8. Evolutionary algorithms for multi-objective scheduling in a hybrid manufacturing system -- Section 2. Supply chain and inventory management. Chapter 9. Differential return on investment optimization: pricing, lotsizing, and shipment considerations in a two-echelon supply chain ; Chapter 10. A comprehensive risk management tool based on multi-agents and system dynamics for traditional and e-commerce supply chain ; Chapter 11. Optimal strategy selection in a supply chain -- Section 3. Differential return on investment optimization: pricing, lotsizing and shipment considerations in a two-echelon supply chain. Chapter 12. Mathematical optimization models for the maintenance policies in production systems ; Chapter 13. A simulation-optimization approach for the production of components for a pharmaceutical company ; Chapter 14. The use of optimal control theory as a benchmarking tool in production-inventory systems ; Chapter 15. Advances in analog integrated circuit optimization: a survey ; Chapter 16. Lean manufacturing: principles, tools, and practices -- Section 4. Smart factories and industry 4.0. Chapter 17. A maturity model to organize the multidimensionality of digitalization in smart factories ; Chapter 18. Data analytics in industry 4.0: in the perspective of big data. | |
506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
520 | 3 | |a "This book presents applications of heuristic and metaheuristic algorithms in manufacturing systems. This book discusses the main heuristic and metaheuristic methods to manage and optimize the problems in manufacturing systems and examines the two main levels of decision systems in production: the middle term (tactical) and short term (operational)"-- |c Provided by publisher. | |
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | |a Description based on title screen (IGI Global, viewed 11/07/2017). | ||
650 | 0 | |a Heuristic algorithms |v Handbooks, manuals, etc. | |
650 | 0 | |a Manufacturing processes |x Mathematical models |v Handbooks, manuals, etc. | |
650 | 0 | |a Mathematical optimization |v Handbooks, manuals, etc. | |
700 | 1 | |a Tufekci, Suleyman, |e editor. | |
700 | 1 | |a Yilmaz, Omer Faruk |d 1989- |e editor. | |
710 | 2 | |a IGI Global, |e publisher. | |
776 | 0 | |c (Original) |w (DLC)2017012416 | |
776 | 0 | 8 | |i Print version: |z 1522529446 |z 9781522529446 |w (DLC) 2017012416 |
856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2944-6 |3 Volltext |
912 | |a ZDB-98-IGB | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-98-IGB-00179212 |
---|---|
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adam_text | |
any_adam_object | |
author2 | Tufekci, Suleyman Yilmaz, Omer Faruk 1989- |
author2_role | edt edt |
author2_variant | s t st o f y of ofy |
author_facet | Tufekci, Suleyman Yilmaz, Omer Faruk 1989- |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | T - Technology |
callnumber-label | TS183 |
callnumber-raw | TS183 .H3595 2018e |
callnumber-search | TS183 .H3595 2018e |
callnumber-sort | TS 3183 H3595 42018E |
callnumber-subject | TS - Manufactures |
collection | ZDB-98-IGB |
contents | Section 1. Applications of heuristic and metaheuristic algorithms in manufacturing systems. Chapter 1. Scheduling in flexible manufacturing systems: genetic algorithms approach ; Chapter 2. Application and evaluation of bee-based algorithms in scheduling: a case study on project scheduling ; Chapter 3. Metaheuristic approaches for extrusion manufacturing process: utilization of flower pollination algorithm and particle swarm optimization ; Chapter 4. A heuristic approach for car sequencing problem including assembly ratio and color constraints ; Chapter 5. Hub location allocation problems and solution algorithms ; Chapter 6. Heuristic approaches in clustering problems ; Chapter 7. An integrated methodology for order release and scheduling in hybrid manufacturing systems: considering worker assignment and utility workers ; Chapter 8. Evolutionary algorithms for multi-objective scheduling in a hybrid manufacturing system -- Section 2. Supply chain and inventory management. Chapter 9. Differential return on investment optimization: pricing, lotsizing, and shipment considerations in a two-echelon supply chain ; Chapter 10. A comprehensive risk management tool based on multi-agents and system dynamics for traditional and e-commerce supply chain ; Chapter 11. Optimal strategy selection in a supply chain -- Section 3. Differential return on investment optimization: pricing, lotsizing and shipment considerations in a two-echelon supply chain. Chapter 12. Mathematical optimization models for the maintenance policies in production systems ; Chapter 13. A simulation-optimization approach for the production of components for a pharmaceutical company ; Chapter 14. The use of optimal control theory as a benchmarking tool in production-inventory systems ; Chapter 15. Advances in analog integrated circuit optimization: a survey ; Chapter 16. Lean manufacturing: principles, tools, and practices -- Section 4. Smart factories and industry 4.0. Chapter 17. A maturity model to organize the multidimensionality of digitalization in smart factories ; Chapter 18. Data analytics in industry 4.0: in the perspective of big data. |
ctrlnum | (CaBNVSL)slc19559981 (OCoLC)1010994516 |
dewey-full | 670 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 670 - Manufacturing |
dewey-raw | 670 |
dewey-search | 670 |
dewey-sort | 3670 |
dewey-tens | 670 - Manufacturing |
discipline | Werkstoffwissenschaften / Fertigungstechnik |
format | Electronic eBook |
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id | ZDB-98-IGB-00179212 |
illustrated | Not Illustrated |
indexdate | 2024-11-26T14:51:52Z |
institution | BVB |
isbn | 9781522529453 |
language | English |
oclc_num | 1010994516 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS |
owner_facet | DE-863 DE-BY-FWS |
physical | 26 PDFs (xxx, 449 pages) Also available in print. |
psigel | ZDB-98-IGB |
publishDate | 2018 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | IGI Global, |
record_format | marc |
spelling | Handbook of research on applied optimization methodologies in manufacturing systems Omer Faruk Yilmaz and Suleyman Tufekci, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 26 PDFs (xxx, 449 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references. Section 1. Applications of heuristic and metaheuristic algorithms in manufacturing systems. Chapter 1. Scheduling in flexible manufacturing systems: genetic algorithms approach ; Chapter 2. Application and evaluation of bee-based algorithms in scheduling: a case study on project scheduling ; Chapter 3. Metaheuristic approaches for extrusion manufacturing process: utilization of flower pollination algorithm and particle swarm optimization ; Chapter 4. A heuristic approach for car sequencing problem including assembly ratio and color constraints ; Chapter 5. Hub location allocation problems and solution algorithms ; Chapter 6. Heuristic approaches in clustering problems ; Chapter 7. An integrated methodology for order release and scheduling in hybrid manufacturing systems: considering worker assignment and utility workers ; Chapter 8. Evolutionary algorithms for multi-objective scheduling in a hybrid manufacturing system -- Section 2. Supply chain and inventory management. Chapter 9. Differential return on investment optimization: pricing, lotsizing, and shipment considerations in a two-echelon supply chain ; Chapter 10. A comprehensive risk management tool based on multi-agents and system dynamics for traditional and e-commerce supply chain ; Chapter 11. Optimal strategy selection in a supply chain -- Section 3. Differential return on investment optimization: pricing, lotsizing and shipment considerations in a two-echelon supply chain. Chapter 12. Mathematical optimization models for the maintenance policies in production systems ; Chapter 13. A simulation-optimization approach for the production of components for a pharmaceutical company ; Chapter 14. The use of optimal control theory as a benchmarking tool in production-inventory systems ; Chapter 15. Advances in analog integrated circuit optimization: a survey ; Chapter 16. Lean manufacturing: principles, tools, and practices -- Section 4. Smart factories and industry 4.0. Chapter 17. A maturity model to organize the multidimensionality of digitalization in smart factories ; Chapter 18. Data analytics in industry 4.0: in the perspective of big data. Restricted to subscribers or individual electronic text purchasers. "This book presents applications of heuristic and metaheuristic algorithms in manufacturing systems. This book discusses the main heuristic and metaheuristic methods to manage and optimize the problems in manufacturing systems and examines the two main levels of decision systems in production: the middle term (tactical) and short term (operational)"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 11/07/2017). Heuristic algorithms Handbooks, manuals, etc. Manufacturing processes Mathematical models Handbooks, manuals, etc. Mathematical optimization Handbooks, manuals, etc. Tufekci, Suleyman, editor. Yilmaz, Omer Faruk 1989- editor. IGI Global, publisher. (Original) (DLC)2017012416 Print version: 1522529446 9781522529446 (DLC) 2017012416 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2944-6 Volltext |
spellingShingle | Handbook of research on applied optimization methodologies in manufacturing systems Section 1. Applications of heuristic and metaheuristic algorithms in manufacturing systems. Chapter 1. Scheduling in flexible manufacturing systems: genetic algorithms approach ; Chapter 2. Application and evaluation of bee-based algorithms in scheduling: a case study on project scheduling ; Chapter 3. Metaheuristic approaches for extrusion manufacturing process: utilization of flower pollination algorithm and particle swarm optimization ; Chapter 4. A heuristic approach for car sequencing problem including assembly ratio and color constraints ; Chapter 5. Hub location allocation problems and solution algorithms ; Chapter 6. Heuristic approaches in clustering problems ; Chapter 7. An integrated methodology for order release and scheduling in hybrid manufacturing systems: considering worker assignment and utility workers ; Chapter 8. Evolutionary algorithms for multi-objective scheduling in a hybrid manufacturing system -- Section 2. Supply chain and inventory management. Chapter 9. Differential return on investment optimization: pricing, lotsizing, and shipment considerations in a two-echelon supply chain ; Chapter 10. A comprehensive risk management tool based on multi-agents and system dynamics for traditional and e-commerce supply chain ; Chapter 11. Optimal strategy selection in a supply chain -- Section 3. Differential return on investment optimization: pricing, lotsizing and shipment considerations in a two-echelon supply chain. Chapter 12. Mathematical optimization models for the maintenance policies in production systems ; Chapter 13. A simulation-optimization approach for the production of components for a pharmaceutical company ; Chapter 14. The use of optimal control theory as a benchmarking tool in production-inventory systems ; Chapter 15. Advances in analog integrated circuit optimization: a survey ; Chapter 16. Lean manufacturing: principles, tools, and practices -- Section 4. Smart factories and industry 4.0. Chapter 17. A maturity model to organize the multidimensionality of digitalization in smart factories ; Chapter 18. Data analytics in industry 4.0: in the perspective of big data. Heuristic algorithms Handbooks, manuals, etc. Manufacturing processes Mathematical models Handbooks, manuals, etc. Mathematical optimization Handbooks, manuals, etc. |
title | Handbook of research on applied optimization methodologies in manufacturing systems |
title_auth | Handbook of research on applied optimization methodologies in manufacturing systems |
title_exact_search | Handbook of research on applied optimization methodologies in manufacturing systems |
title_full | Handbook of research on applied optimization methodologies in manufacturing systems Omer Faruk Yilmaz and Suleyman Tufekci, editors. |
title_fullStr | Handbook of research on applied optimization methodologies in manufacturing systems Omer Faruk Yilmaz and Suleyman Tufekci, editors. |
title_full_unstemmed | Handbook of research on applied optimization methodologies in manufacturing systems Omer Faruk Yilmaz and Suleyman Tufekci, editors. |
title_short | Handbook of research on applied optimization methodologies in manufacturing systems |
title_sort | handbook of research on applied optimization methodologies in manufacturing systems |
topic | Heuristic algorithms Handbooks, manuals, etc. Manufacturing processes Mathematical models Handbooks, manuals, etc. Mathematical optimization Handbooks, manuals, etc. |
topic_facet | Heuristic algorithms Handbooks, manuals, etc. Manufacturing processes Mathematical models Handbooks, manuals, etc. Mathematical optimization Handbooks, manuals, etc. |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2944-6 |
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