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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
अन्य लेखक: Ren, Yaping (संपादक)
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