Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling
In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. The...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Aiheet: | |
| Linkit: | ONIX_20230202_9783036563725_145 |
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| _version_ | 1869528192188940288 |
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| collection | Directory of Open Access Books |
| description | In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. Therefore, planning and scheduling procedures that can respond flexibly to changed circumstances have become more valuable both in logistics and projects. There are already several competing criteria of project and logistic process planning and scheduling that need to be reconciled. At the same time, the COVID-19 pandemic has shown that even more emphasis needs to be placed on taking potential risks into account. Flexibility and resilience are emphasized in all decision-making processes, including the scheduling of logistic processes, activities, and projects. |
| format | Online |
| id | doab-20.500.12854ir-96744 |
| 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-967442024-03-28T03:32:28Z Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling Kosztyán, Zsolt Tibor Kovács, Zoltán districting last-mile delivery hybrid heuristics rich vehicle routing problem (RVRP) heterogeneous fleet fleet dimensioning VRP with time windows (VRPTW) multi-period VRP combinatorial optimization inventory non-instantaneous deterioration partial backlogging stock-dependent demand partial risk map PRISM PRISM number failure mode and effect analysis FMEA RPN risk matrix risk assessment safety science systems safety process outsourcing inventory management imperfect production mathematical modeling supply chain management humanitarian logistics relief distribution network design problem food banks capacitated arc routing problem dynamic capacitated arc routing problem artificial bee colony algorithm evolutionary optimization move operator drone GA model route planning warehouse resource allocation group technology deterioration effect scheduling flexibility multilevel structure multi-trip split delivery auction mechanism simulated annealing mixed-integer linear programming model fuzzy optimization techniques wood pellet supply chain flexible programming linear programming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. Therefore, planning and scheduling procedures that can respond flexibly to changed circumstances have become more valuable both in logistics and projects. There are already several competing criteria of project and logistic process planning and scheduling that need to be reconciled. At the same time, the COVID-19 pandemic has shown that even more emphasis needs to be placed on taking potential risks into account. Flexibility and resilience are emphasized in all decision-making processes, including the scheduling of logistic processes, activities, and projects. 2023-02-02T16:46:15Z 2023-02-02T16:46:15Z 2023 book ONIX_20230202_9783036563725_145 9783036563725 9783036563732 https://directory.doabooks.org/handle/20.500.12854/96744 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6690 https://mdpi.com/books/pdfview/book/6690 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6373-2 10.3390/books978-3-0365-6373-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036563725 9783036563732 288 Basel open access |
| spellingShingle | districting last-mile delivery hybrid heuristics rich vehicle routing problem (RVRP) heterogeneous fleet fleet dimensioning VRP with time windows (VRPTW) multi-period VRP combinatorial optimization inventory non-instantaneous deterioration partial backlogging stock-dependent demand partial risk map PRISM PRISM number failure mode and effect analysis FMEA RPN risk matrix risk assessment safety science systems safety process outsourcing inventory management imperfect production mathematical modeling supply chain management humanitarian logistics relief distribution network design problem food banks capacitated arc routing problem dynamic capacitated arc routing problem artificial bee colony algorithm evolutionary optimization move operator drone GA model route planning warehouse resource allocation group technology deterioration effect scheduling flexibility multilevel structure multi-trip split delivery auction mechanism simulated annealing mixed-integer linear programming model fuzzy optimization techniques wood pellet supply chain flexible programming linear programming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title | Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title_full | Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title_fullStr | Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title_full_unstemmed | Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title_short | Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling |
| title_sort | mathematical methods and operation research in logistics project planning and scheduling |
| topic | districting last-mile delivery hybrid heuristics rich vehicle routing problem (RVRP) heterogeneous fleet fleet dimensioning VRP with time windows (VRPTW) multi-period VRP combinatorial optimization inventory non-instantaneous deterioration partial backlogging stock-dependent demand partial risk map PRISM PRISM number failure mode and effect analysis FMEA RPN risk matrix risk assessment safety science systems safety process outsourcing inventory management imperfect production mathematical modeling supply chain management humanitarian logistics relief distribution network design problem food banks capacitated arc routing problem dynamic capacitated arc routing problem artificial bee colony algorithm evolutionary optimization move operator drone GA model route planning warehouse resource allocation group technology deterioration effect scheduling flexibility multilevel structure multi-trip split delivery auction mechanism simulated annealing mixed-integer linear programming model fuzzy optimization techniques wood pellet supply chain flexible programming linear programming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | districting last-mile delivery hybrid heuristics rich vehicle routing problem (RVRP) heterogeneous fleet fleet dimensioning VRP with time windows (VRPTW) multi-period VRP combinatorial optimization inventory non-instantaneous deterioration partial backlogging stock-dependent demand partial risk map PRISM PRISM number failure mode and effect analysis FMEA RPN risk matrix risk assessment safety science systems safety process outsourcing inventory management imperfect production mathematical modeling supply chain management humanitarian logistics relief distribution network design problem food banks capacitated arc routing problem dynamic capacitated arc routing problem artificial bee colony algorithm evolutionary optimization move operator drone GA model route planning warehouse resource allocation group technology deterioration effect scheduling flexibility multilevel structure multi-trip split delivery auction mechanism simulated annealing mixed-integer linear programming model fuzzy optimization techniques wood pellet supply chain flexible programming linear programming n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230202_9783036563725_145 |