Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics
To address the increasingly prominent environmental pollution and energy shortage, many countries devote themselves to green manufacturing and logistics in which some optimization problems are common and challenging, e.g., production planning and scheduling, supply chain management, location and all...
Zapisane w:
| Format: | Online |
|---|---|
| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20230623_9783036575704_138 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|
| _version_ | 1869530769161977856 |
|---|---|
| collection | Directory of Open Access Books |
| description | To address the increasingly prominent environmental pollution and energy shortage, many countries devote themselves to green manufacturing and logistics in which some optimization problems are common and challenging, e.g., production planning and scheduling, supply chain management, location and allocation problems, vehicle routing problem, resource optimization, and pricing strategies. The present reprint contains all of the articles accepted and published in the Special Issue "Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics" from the MDPI Mathematics journal. This Special Issue is focused on collecting recent mathematical modeling and intelligent optimization research in green manufacturing and logistics, including operations research, game theory, (meta)heuristics, machine learning, knowledge-driven, digital twin, and so on. We hope that the scientific results presented in this reprint will serve as a valuable source of documentation and inspiration to those researching the modeling and optimization of green manufacturing and sustainable logistics. |
| format | Online |
| id | doab-20.500.12854ir-100906 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1009062024-03-28T03:32:31Z Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics Ren, Yaping auto parts supply chain sustainable logistics robust optimization location-inventory-routing optimization multi-period demand emergency material distribution multi-period uncertain demand perishable materials whale optimization algorithm differential evolution algorithm AGV scheduling flexible manufacturing cell AGV charging genetic algorithm municipal solid waste waste classification waste logistics waste collection and transportation IoT cloud-edge collaboration synchronization demanufacturing disassembly planning asynchronous parallel disassembly mixed integer linear programming exact algorithm hybrid flowshop scheduling energy efficiency consistent sublots collaborative coevolutionary algorithm variable neighborhood descent reverse logistics remanufacturing EOL product combinational optimization cutting-tool degradation machine tool turning-on/off schedule hybrid energy-saving strategy multi-objective optimization flexible job shop scheduling express packaging green reverse logistics reduce carbon emissions K-means algorithm bi-objective model NSGA-II algorithm multi-objective mixed-model two-sided disassembly line balancing partial destructive mode thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science To address the increasingly prominent environmental pollution and energy shortage, many countries devote themselves to green manufacturing and logistics in which some optimization problems are common and challenging, e.g., production planning and scheduling, supply chain management, location and allocation problems, vehicle routing problem, resource optimization, and pricing strategies. The present reprint contains all of the articles accepted and published in the Special Issue "Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics" from the MDPI Mathematics journal. This Special Issue is focused on collecting recent mathematical modeling and intelligent optimization research in green manufacturing and logistics, including operations research, game theory, (meta)heuristics, machine learning, knowledge-driven, digital twin, and so on. We hope that the scientific results presented in this reprint will serve as a valuable source of documentation and inspiration to those researching the modeling and optimization of green manufacturing and sustainable logistics. 2023-06-23T09:52:30Z 2023-06-23T09:52:30Z 2023 book ONIX_20230623_9783036575704_138 9783036575704 9783036575711 https://directory.doabooks.org/handle/20.500.12854/100906 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7374 https://mdpi.com/books/pdfview/book/7374 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7571-1 10.3390/books978-3-0365-7571-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036575704 9783036575711 236 Basel open access |
| spellingShingle | auto parts supply chain sustainable logistics robust optimization location-inventory-routing optimization multi-period demand emergency material distribution multi-period uncertain demand perishable materials whale optimization algorithm differential evolution algorithm AGV scheduling flexible manufacturing cell AGV charging genetic algorithm municipal solid waste waste classification waste logistics waste collection and transportation IoT cloud-edge collaboration synchronization demanufacturing disassembly planning asynchronous parallel disassembly mixed integer linear programming exact algorithm hybrid flowshop scheduling energy efficiency consistent sublots collaborative coevolutionary algorithm variable neighborhood descent reverse logistics remanufacturing EOL product combinational optimization cutting-tool degradation machine tool turning-on/off schedule hybrid energy-saving strategy multi-objective optimization flexible job shop scheduling express packaging green reverse logistics reduce carbon emissions K-means algorithm bi-objective model NSGA-II algorithm multi-objective mixed-model two-sided disassembly line balancing partial destructive mode thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title | Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title_full | Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title_fullStr | Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title_full_unstemmed | Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title_short | Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
| title_sort | mathematical modeling and intelligent optimization in green manufacturing logistics |
| topic | auto parts supply chain sustainable logistics robust optimization location-inventory-routing optimization multi-period demand emergency material distribution multi-period uncertain demand perishable materials whale optimization algorithm differential evolution algorithm AGV scheduling flexible manufacturing cell AGV charging genetic algorithm municipal solid waste waste classification waste logistics waste collection and transportation IoT cloud-edge collaboration synchronization demanufacturing disassembly planning asynchronous parallel disassembly mixed integer linear programming exact algorithm hybrid flowshop scheduling energy efficiency consistent sublots collaborative coevolutionary algorithm variable neighborhood descent reverse logistics remanufacturing EOL product combinational optimization cutting-tool degradation machine tool turning-on/off schedule hybrid energy-saving strategy multi-objective optimization flexible job shop scheduling express packaging green reverse logistics reduce carbon emissions K-means algorithm bi-objective model NSGA-II algorithm multi-objective mixed-model two-sided disassembly line balancing partial destructive mode thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | auto parts supply chain sustainable logistics robust optimization location-inventory-routing optimization multi-period demand emergency material distribution multi-period uncertain demand perishable materials whale optimization algorithm differential evolution algorithm AGV scheduling flexible manufacturing cell AGV charging genetic algorithm municipal solid waste waste classification waste logistics waste collection and transportation IoT cloud-edge collaboration synchronization demanufacturing disassembly planning asynchronous parallel disassembly mixed integer linear programming exact algorithm hybrid flowshop scheduling energy efficiency consistent sublots collaborative coevolutionary algorithm variable neighborhood descent reverse logistics remanufacturing EOL product combinational optimization cutting-tool degradation machine tool turning-on/off schedule hybrid energy-saving strategy multi-objective optimization flexible job shop scheduling express packaging green reverse logistics reduce carbon emissions K-means algorithm bi-objective model NSGA-II algorithm multi-objective mixed-model two-sided disassembly line balancing partial destructive mode thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230623_9783036575704_138 |