Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities:
"This book addresses the main strategies to build able algorithms for building better picking orders. It also examines the most common picking aspects in warehouse environments, ranging from manual order picking systems, automated retrieval systems, and related topics. Additionally, the book ex...
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| 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,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book addresses the main strategies to build able algorithms for building better picking orders. It also examines the most common picking aspects in warehouse environments, ranging from manual order picking systems, automated retrieval systems, and related topics. Additionally, the book explores the impact of such strategies on the picking systems in which diverse algorithms is being implemented"-- |
| Beschreibung: | 40 PDFs (xxix, 498 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522581321 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |c Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santilián, and Benito Sánchez-Lara, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2019] | |
| 300 | |a 40 PDFs (xxix, 498 pages) | ||
| 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 Section 1. Mathematical operation of the order picking problem. Chapter 1. Variable neighborhood search algorithm for the variable cost and size bin packing problem ; Chapter 2. Tri-objective optimization model for order picking ; Chapter 3. Intelligent tool for decision making associated with hospitalization and sandstorms for the optimization of ambulances ; Chapter 4. Use of compensatory fuzzy logic for knowledge discovery applied to the warehouse order picking problem for real-time order batching ; Chapter 5. Tuning parameters using visthaa applied to a metaheuristic algorithm that solves the order picking problem ; Chapter 6. Prioritization of elements selection in order-picking problems through a preference model influenced by personality -- Section 2. Innovative aspects of applied metaheuristics for the resolution of order picking. Chapter 7. Implementation of an artificial bee colony to solve an order picking problem ; Chapter 8. Use of elephant search algorithm to solve an order picking problem in a mobile atelier ; Chapter 9. An order-picking model associated with hospital components and solved by a firefly algorithm ; Chapter 10. Improvement of the optimization of an order picking model associated with the components of a classic Volkswagen Beetle using an ant colony approach ; Chapter 11. Design of an order picking reduce module using bat algorithm -- Section 3. Avant-garde applications in the use of order picking models to improve competitiveness in the supply chain sector of companies in the manufacturing industry. Chapter 12. Application of the order-picking and self-organizing maps models to optimize the supply chain: a review of the literature ; Chapter 13. Solving a floral order-picking model using a metaheuristic to seven societies of central Asia ; Chapter 14. Identification of continued improvement in the resolution of an order picking model for a furniture factory to improve the distribution of wood furniture ; Chapter 15. Distribution and selection of ornamental fishes' issues on a koi fish pond using krill algorithm to an order picking model ; Chapter 16. Solving instances of an order picking model for the second-hand toy industry combining amalgam case-based reasoning and PSO algorithms ; Chapter 17. Implementing of a business model for an order picking related to agribusiness -- Section 4. Innovation in the context of industry 4.0 and applications beyond the technology associated with smart manufacturing. Chapter 18. Perishing goods transportation problem: fundamentals, advances, and applications ; Chapter 19. Functional order picking model associated with italika motorcycle parts ; Chapter 20. Searching for the optimum number of capacitated materialistic cars for an automotive manufacturing cell using a shuffled frog leap algorithm ; Chapter 21. Implementation of an intelligent model for decision making based on CBR for supply chain solution in retail for a cluster of supermarkets ; Chapter 22. Consumer purchase preference for the perception of quality of perishable products in a smart city ; Chapter 23. Predict energy charging points to electric vehicles in a smart city using a novel metaheuristic ; Chapter 24. Specification of a model of distribution of traditional clothing in a mobile atelier ; Chapter 25. A fuzzy logic classifier for the three dimensional bin packing problem deriving from package delivery companies application ; Chapter 26. Order picking performance in warehouses with multi-item orders. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book addresses the main strategies to build able algorithms for building better picking orders. It also examines the most common picking aspects in warehouse environments, ranging from manual order picking systems, automated retrieval systems, and related topics. Additionally, the book explores the impact of such strategies on the picking systems in which diverse algorithms is being implemented"-- |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 04/16/2019). | ||
| 650 | 0 | |a Inventory control |x Data processing. | |
| 650 | 0 | |a Inventory control |x Mathematical models. | |
| 650 | 0 | |a Metaheuristics. | |
| 650 | 0 | |a Order picking systems. | |
| 650 | 0 | |a Warehouses |x Management. | |
| 700 | 1 | |a Gómez-Santilián, Claudia, |e editor. | |
| 700 | 1 | |a Ochoa Ortiz Zezzatti, Carlos Alberto |d 1974- |e editor. | |
| 700 | 1 | |a Rivera, Gilberto, |e editor. | |
| 700 | 1 | |a Sánchez-Lara, Benito, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2018047356 | |
| 776 | 0 | 8 | |i Print version: |z 1522581316 |z 9781522581314 |w (DLC) 2018047356 |
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| contents | Section 1. Mathematical operation of the order picking problem. Chapter 1. Variable neighborhood search algorithm for the variable cost and size bin packing problem ; Chapter 2. Tri-objective optimization model for order picking ; Chapter 3. Intelligent tool for decision making associated with hospitalization and sandstorms for the optimization of ambulances ; Chapter 4. Use of compensatory fuzzy logic for knowledge discovery applied to the warehouse order picking problem for real-time order batching ; Chapter 5. Tuning parameters using visthaa applied to a metaheuristic algorithm that solves the order picking problem ; Chapter 6. Prioritization of elements selection in order-picking problems through a preference model influenced by personality -- Section 2. Innovative aspects of applied metaheuristics for the resolution of order picking. Chapter 7. Implementation of an artificial bee colony to solve an order picking problem ; Chapter 8. Use of elephant search algorithm to solve an order picking problem in a mobile atelier ; Chapter 9. An order-picking model associated with hospital components and solved by a firefly algorithm ; Chapter 10. Improvement of the optimization of an order picking model associated with the components of a classic Volkswagen Beetle using an ant colony approach ; Chapter 11. Design of an order picking reduce module using bat algorithm -- Section 3. Avant-garde applications in the use of order picking models to improve competitiveness in the supply chain sector of companies in the manufacturing industry. Chapter 12. Application of the order-picking and self-organizing maps models to optimize the supply chain: a review of the literature ; Chapter 13. Solving a floral order-picking model using a metaheuristic to seven societies of central Asia ; Chapter 14. Identification of continued improvement in the resolution of an order picking model for a furniture factory to improve the distribution of wood furniture ; Chapter 15. Distribution and selection of ornamental fishes' issues on a koi fish pond using krill algorithm to an order picking model ; Chapter 16. Solving instances of an order picking model for the second-hand toy industry combining amalgam case-based reasoning and PSO algorithms ; Chapter 17. Implementing of a business model for an order picking related to agribusiness -- Section 4. Innovation in the context of industry 4.0 and applications beyond the technology associated with smart manufacturing. Chapter 18. Perishing goods transportation problem: fundamentals, advances, and applications ; Chapter 19. Functional order picking model associated with italika motorcycle parts ; Chapter 20. Searching for the optimum number of capacitated materialistic cars for an automotive manufacturing cell using a shuffled frog leap algorithm ; Chapter 21. Implementation of an intelligent model for decision making based on CBR for supply chain solution in retail for a cluster of supermarkets ; Chapter 22. Consumer purchase preference for the perception of quality of perishable products in a smart city ; Chapter 23. Predict energy charging points to electric vehicles in a smart city using a novel metaheuristic ; Chapter 24. Specification of a model of distribution of traditional clothing in a mobile atelier ; Chapter 25. A fuzzy logic classifier for the three dimensional bin packing problem deriving from package delivery companies application ; Chapter 26. Order picking performance in warehouses with multi-item orders. |
| ctrlnum | (CaBNVSL)slc20703146 (OCoLC)1097559481 |
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| dewey-ones | 658 - General management |
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| discipline | Wirtschaftswissenschaften |
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| id | ZDB-98-IGB-00214899 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:54Z |
| institution | BVB |
| isbn | 9781522581321 |
| language | English |
| oclc_num | 1097559481 |
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| physical | 40 PDFs (xxix, 498 pages) Also available in print. |
| psigel | ZDB-98-IGB |
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| spelling | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santilián, and Benito Sánchez-Lara, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2019] 40 PDFs (xxix, 498 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Mathematical operation of the order picking problem. Chapter 1. Variable neighborhood search algorithm for the variable cost and size bin packing problem ; Chapter 2. Tri-objective optimization model for order picking ; Chapter 3. Intelligent tool for decision making associated with hospitalization and sandstorms for the optimization of ambulances ; Chapter 4. Use of compensatory fuzzy logic for knowledge discovery applied to the warehouse order picking problem for real-time order batching ; Chapter 5. Tuning parameters using visthaa applied to a metaheuristic algorithm that solves the order picking problem ; Chapter 6. Prioritization of elements selection in order-picking problems through a preference model influenced by personality -- Section 2. Innovative aspects of applied metaheuristics for the resolution of order picking. Chapter 7. Implementation of an artificial bee colony to solve an order picking problem ; Chapter 8. Use of elephant search algorithm to solve an order picking problem in a mobile atelier ; Chapter 9. An order-picking model associated with hospital components and solved by a firefly algorithm ; Chapter 10. Improvement of the optimization of an order picking model associated with the components of a classic Volkswagen Beetle using an ant colony approach ; Chapter 11. Design of an order picking reduce module using bat algorithm -- Section 3. Avant-garde applications in the use of order picking models to improve competitiveness in the supply chain sector of companies in the manufacturing industry. Chapter 12. Application of the order-picking and self-organizing maps models to optimize the supply chain: a review of the literature ; Chapter 13. Solving a floral order-picking model using a metaheuristic to seven societies of central Asia ; Chapter 14. Identification of continued improvement in the resolution of an order picking model for a furniture factory to improve the distribution of wood furniture ; Chapter 15. Distribution and selection of ornamental fishes' issues on a koi fish pond using krill algorithm to an order picking model ; Chapter 16. Solving instances of an order picking model for the second-hand toy industry combining amalgam case-based reasoning and PSO algorithms ; Chapter 17. Implementing of a business model for an order picking related to agribusiness -- Section 4. Innovation in the context of industry 4.0 and applications beyond the technology associated with smart manufacturing. Chapter 18. Perishing goods transportation problem: fundamentals, advances, and applications ; Chapter 19. Functional order picking model associated with italika motorcycle parts ; Chapter 20. Searching for the optimum number of capacitated materialistic cars for an automotive manufacturing cell using a shuffled frog leap algorithm ; Chapter 21. Implementation of an intelligent model for decision making based on CBR for supply chain solution in retail for a cluster of supermarkets ; Chapter 22. Consumer purchase preference for the perception of quality of perishable products in a smart city ; Chapter 23. Predict energy charging points to electric vehicles in a smart city using a novel metaheuristic ; Chapter 24. Specification of a model of distribution of traditional clothing in a mobile atelier ; Chapter 25. A fuzzy logic classifier for the three dimensional bin packing problem deriving from package delivery companies application ; Chapter 26. Order picking performance in warehouses with multi-item orders. Restricted to subscribers or individual electronic text purchasers. "This book addresses the main strategies to build able algorithms for building better picking orders. It also examines the most common picking aspects in warehouse environments, ranging from manual order picking systems, automated retrieval systems, and related topics. Additionally, the book explores the impact of such strategies on the picking systems in which diverse algorithms is being implemented"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/16/2019). Inventory control Data processing. Inventory control Mathematical models. Metaheuristics. Order picking systems. Warehouses Management. Gómez-Santilián, Claudia, editor. Ochoa Ortiz Zezzatti, Carlos Alberto 1974- editor. Rivera, Gilberto, editor. Sánchez-Lara, Benito, editor. IGI Global, publisher. (Original) (DLC)2018047356 Print version: 1522581316 9781522581314 (DLC) 2018047356 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8131-4 Volltext |
| spellingShingle | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities Section 1. Mathematical operation of the order picking problem. Chapter 1. Variable neighborhood search algorithm for the variable cost and size bin packing problem ; Chapter 2. Tri-objective optimization model for order picking ; Chapter 3. Intelligent tool for decision making associated with hospitalization and sandstorms for the optimization of ambulances ; Chapter 4. Use of compensatory fuzzy logic for knowledge discovery applied to the warehouse order picking problem for real-time order batching ; Chapter 5. Tuning parameters using visthaa applied to a metaheuristic algorithm that solves the order picking problem ; Chapter 6. Prioritization of elements selection in order-picking problems through a preference model influenced by personality -- Section 2. Innovative aspects of applied metaheuristics for the resolution of order picking. Chapter 7. Implementation of an artificial bee colony to solve an order picking problem ; Chapter 8. Use of elephant search algorithm to solve an order picking problem in a mobile atelier ; Chapter 9. An order-picking model associated with hospital components and solved by a firefly algorithm ; Chapter 10. Improvement of the optimization of an order picking model associated with the components of a classic Volkswagen Beetle using an ant colony approach ; Chapter 11. Design of an order picking reduce module using bat algorithm -- Section 3. Avant-garde applications in the use of order picking models to improve competitiveness in the supply chain sector of companies in the manufacturing industry. Chapter 12. Application of the order-picking and self-organizing maps models to optimize the supply chain: a review of the literature ; Chapter 13. Solving a floral order-picking model using a metaheuristic to seven societies of central Asia ; Chapter 14. Identification of continued improvement in the resolution of an order picking model for a furniture factory to improve the distribution of wood furniture ; Chapter 15. Distribution and selection of ornamental fishes' issues on a koi fish pond using krill algorithm to an order picking model ; Chapter 16. Solving instances of an order picking model for the second-hand toy industry combining amalgam case-based reasoning and PSO algorithms ; Chapter 17. Implementing of a business model for an order picking related to agribusiness -- Section 4. Innovation in the context of industry 4.0 and applications beyond the technology associated with smart manufacturing. Chapter 18. Perishing goods transportation problem: fundamentals, advances, and applications ; Chapter 19. Functional order picking model associated with italika motorcycle parts ; Chapter 20. Searching for the optimum number of capacitated materialistic cars for an automotive manufacturing cell using a shuffled frog leap algorithm ; Chapter 21. Implementation of an intelligent model for decision making based on CBR for supply chain solution in retail for a cluster of supermarkets ; Chapter 22. Consumer purchase preference for the perception of quality of perishable products in a smart city ; Chapter 23. Predict energy charging points to electric vehicles in a smart city using a novel metaheuristic ; Chapter 24. Specification of a model of distribution of traditional clothing in a mobile atelier ; Chapter 25. A fuzzy logic classifier for the three dimensional bin packing problem deriving from package delivery companies application ; Chapter 26. Order picking performance in warehouses with multi-item orders. Inventory control Data processing. Inventory control Mathematical models. Metaheuristics. Order picking systems. Warehouses Management. |
| title | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |
| title_auth | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |
| title_exact_search | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |
| title_full | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santilián, and Benito Sánchez-Lara, editors. |
| title_fullStr | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santilián, and Benito Sánchez-Lara, editors. |
| title_full_unstemmed | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities Alberto Ochoa Ortiz-Zezzatti, Gilberto Rivera, Claudia Gómez-Santilián, and Benito Sánchez-Lara, editors. |
| title_short | Handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |
| title_sort | handbook of research on metaheuristics for order picking optimization in warehouses to smart cities |
| topic | Inventory control Data processing. Inventory control Mathematical models. Metaheuristics. Order picking systems. Warehouses Management. |
| topic_facet | Inventory control Data processing. Inventory control Mathematical models. Metaheuristics. Order picking systems. Warehouses Management. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-8131-4 |
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