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:...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2018]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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)"-- |
| Physical Description: | 26 PDFs (xxx, 449 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781522529453 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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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 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
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| 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 | 0 | |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. | |
| 653 | |a Assembly Ratio. | ||
| 653 | |a Car Sequencing. | ||
| 653 | |a Clustering. | ||
| 653 | |a Color Constraints. | ||
| 653 | |a E-Commerce Supply Chain. | ||
| 653 | |a Flower Pollination. | ||
| 653 | |a Genetics Algorithms. | ||
| 653 | |a Particle Swarm. | ||
| 700 | 1 | |a Tufekci, Suleyman |e editor. | |
| 700 | 1 | |a Yilmaz, Omer Faruk |d 1989- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 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 | 2025-03-18T14:30:28Z |
| institution | BVB |
| isbn | 9781522529453 |
| language | English |
| oclc_num | 1010994516 |
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| physical | 26 PDFs (xxx, 449 Seiten) Also available in print. |
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| 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 Seiten) 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. Assembly Ratio. Car Sequencing. Clustering. Color Constraints. E-Commerce Supply Chain. Flower Pollination. Genetics Algorithms. Particle Swarm. Tufekci, Suleyman editor. Yilmaz, Omer Faruk 1989- editor. IGI Global, publisher. (Original) (DLC)2017012416 Print version: 1522529446 9781522529446 (DLC) 2017012416 |
| 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. |
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