Scheduling Theory and Algorithms for Sustainable Manufacturing
This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models a...
Sábháilte in:
| Formáid: | Online |
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| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20250812T095121_9783725831647_59 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869531004916465664 |
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| collection | Directory of Open Access Books |
| description | This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models and algorithms for different sustainability issues are proposed to optimize energy consumption and achieve environmental benefits and resilience, as well as demonstrate how to reduce the cost of installing photovoltaic systems, organize sustainable inventory management, etc. |
| format | Online |
| id | doab-20.500.12854ir-165110 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651102025-08-12T08:02:34Z Scheduling Theory and Algorithms for Sustainable Manufacturing Dolgui, Alexandre Lemoine, David Restrepo, María I. Werner, Frank product-driven nervousness schedule planning intelligent product agent-based model holonic manufacturing system slime mold algorithm fair scheduling Bernoulli mapping reverse learning Cauchy mutation heuristics scheduling algorithms constraint satisfaction problems resource allocation co-activity conflict mitigation many-objective optimization ideal stock optimization sustainable supply chain stock management cost-effective logistics photovoltaic sets multi-criteria decision making micro solar generation generation optimisation sustainable scheduling fleet of drones maximizing the environmental benefit polynomial-time algorithm bibliometric analysis production scheduling reinforcement learning parallel machine scheduling problem ore hauling equipment mathematical model mining industry disruption handling machine breakage part input sequencing FMS scheduling dynamic scheduling reactive scheduling flexible job shop scheduling energy savings make-span two-level MILP remanufacturing circular economy machine learning data-driven models sustainability n/a thema EDItEUR::K Economics, Finance, Business and Management::KC Economics This reprint of a Special Issue of Algorithms presents recent research on the applications of planning and scheduling models and algorithms to production systems and logistics, with the objective to increase production systems' sustainability. In the eleven research papers, several advanced models and algorithms for different sustainability issues are proposed to optimize energy consumption and achieve environmental benefits and resilience, as well as demonstrate how to reduce the cost of installing photovoltaic systems, organize sustainable inventory management, etc. 2025-08-12T08:02:32Z 2025-08-12T08:02:32Z 2025 book ONIX_20250812T095121_9783725831647_59 9783725831647 9783725831630 https://directory.doabooks.org/handle/20.500.12854/165110 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10482 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3163-0 10.3390/books978-3-7258-3163-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725831647 9783725831630 222 open access |
| spellingShingle | product-driven nervousness schedule planning intelligent product agent-based model holonic manufacturing system slime mold algorithm fair scheduling Bernoulli mapping reverse learning Cauchy mutation heuristics scheduling algorithms constraint satisfaction problems resource allocation co-activity conflict mitigation many-objective optimization ideal stock optimization sustainable supply chain stock management cost-effective logistics photovoltaic sets multi-criteria decision making micro solar generation generation optimisation sustainable scheduling fleet of drones maximizing the environmental benefit polynomial-time algorithm bibliometric analysis production scheduling reinforcement learning parallel machine scheduling problem ore hauling equipment mathematical model mining industry disruption handling machine breakage part input sequencing FMS scheduling dynamic scheduling reactive scheduling flexible job shop scheduling energy savings make-span two-level MILP remanufacturing circular economy machine learning data-driven models sustainability n/a thema EDItEUR::K Economics, Finance, Business and Management::KC Economics Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title | Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title_full | Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title_fullStr | Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title_full_unstemmed | Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title_short | Scheduling Theory and Algorithms for Sustainable Manufacturing |
| title_sort | scheduling theory and algorithms for sustainable manufacturing |
| topic | product-driven nervousness schedule planning intelligent product agent-based model holonic manufacturing system slime mold algorithm fair scheduling Bernoulli mapping reverse learning Cauchy mutation heuristics scheduling algorithms constraint satisfaction problems resource allocation co-activity conflict mitigation many-objective optimization ideal stock optimization sustainable supply chain stock management cost-effective logistics photovoltaic sets multi-criteria decision making micro solar generation generation optimisation sustainable scheduling fleet of drones maximizing the environmental benefit polynomial-time algorithm bibliometric analysis production scheduling reinforcement learning parallel machine scheduling problem ore hauling equipment mathematical model mining industry disruption handling machine breakage part input sequencing FMS scheduling dynamic scheduling reactive scheduling flexible job shop scheduling energy savings make-span two-level MILP remanufacturing circular economy machine learning data-driven models sustainability n/a thema EDItEUR::K Economics, Finance, Business and Management::KC Economics |
| topic_facet | product-driven nervousness schedule planning intelligent product agent-based model holonic manufacturing system slime mold algorithm fair scheduling Bernoulli mapping reverse learning Cauchy mutation heuristics scheduling algorithms constraint satisfaction problems resource allocation co-activity conflict mitigation many-objective optimization ideal stock optimization sustainable supply chain stock management cost-effective logistics photovoltaic sets multi-criteria decision making micro solar generation generation optimisation sustainable scheduling fleet of drones maximizing the environmental benefit polynomial-time algorithm bibliometric analysis production scheduling reinforcement learning parallel machine scheduling problem ore hauling equipment mathematical model mining industry disruption handling machine breakage part input sequencing FMS scheduling dynamic scheduling reactive scheduling flexible job shop scheduling energy savings make-span two-level MILP remanufacturing circular economy machine learning data-driven models sustainability n/a thema EDItEUR::K Economics, Finance, Business and Management::KC Economics |
| url | ONIX_20250812T095121_9783725831647_59 |