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...
में बचाया:
अन्य लेखक: | |
---|---|
स्वरूप: | इलेक्ट्रोनिक पुस्तक अध्याय |
भाषा: | अंग्रेज़ी |
प्रकाशित: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
विषय: | |
ऑनलाइन पहुंच: | DOAB: download the publication DOAB: description of the publication |
टैग: |
टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | doab_20_500_12854_100906 | ||
005 | 20230623 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20230623s2023 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-7571-1 | ||
020 | |a 9783036575704 | ||
020 | |a 9783036575711 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.3390/books978-3-0365-7571-1 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a GP |2 bicssc | |
072 | 7 | |a P |2 bicssc | |
100 | 1 | |a Ren, Yaping |4 edt | |
700 | 1 | |a Ren, Yaping |4 oth | |
245 | 1 | 0 | |a Mathematical Modeling and Intelligent Optimization in Green Manufacturing & Logistics |
260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
300 | |a 1 electronic resource (236 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Research & information: general |2 bicssc | |
650 | 7 | |a Mathematics & science |2 bicssc | |
653 | |a auto parts supply chain | ||
653 | |a sustainable logistics | ||
653 | |a robust optimization | ||
653 | |a location-inventory-routing optimization | ||
653 | |a multi-period demand | ||
653 | |a emergency material distribution | ||
653 | |a multi-period | ||
653 | |a uncertain demand | ||
653 | |a perishable materials | ||
653 | |a whale optimization algorithm | ||
653 | |a differential evolution algorithm | ||
653 | |a AGV scheduling | ||
653 | |a flexible manufacturing cell | ||
653 | |a AGV charging | ||
653 | |a genetic algorithm | ||
653 | |a municipal solid waste | ||
653 | |a waste classification | ||
653 | |a waste logistics | ||
653 | |a waste collection and transportation | ||
653 | |a IoT | ||
653 | |a cloud-edge collaboration | ||
653 | |a synchronization | ||
653 | |a demanufacturing | ||
653 | |a disassembly planning | ||
653 | |a asynchronous parallel disassembly | ||
653 | |a mixed integer linear programming | ||
653 | |a exact algorithm | ||
653 | |a hybrid flowshop scheduling | ||
653 | |a energy efficiency | ||
653 | |a consistent sublots | ||
653 | |a collaborative coevolutionary algorithm | ||
653 | |a variable neighborhood descent | ||
653 | |a reverse logistics | ||
653 | |a remanufacturing | ||
653 | |a EOL product | ||
653 | |a combinational optimization | ||
653 | |a cutting-tool degradation | ||
653 | |a machine tool turning-on/off schedule | ||
653 | |a hybrid energy-saving strategy | ||
653 | |a multi-objective optimization | ||
653 | |a flexible job shop scheduling | ||
653 | |a express packaging | ||
653 | |a green reverse logistics | ||
653 | |a reduce carbon emissions | ||
653 | |a K-means algorithm | ||
653 | |a bi-objective model | ||
653 | |a NSGA-II algorithm | ||
653 | |a multi-objective | ||
653 | |a mixed-model | ||
653 | |a two-sided | ||
653 | |a disassembly line balancing | ||
653 | |a partial destructive mode | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/7374 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/100906 |7 0 |z DOAB: description of the publication |