Theoretical and Applied Mathematics in Supply Chain Management
This Reprint on Quantitative Supply Chain Management features research that applies advanced analytical and optimisation methods to diverse supply chain challenges. Topics include procurement coordination using swap and wholesale contracts, facility location under uncertain demand with distributiona...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Onderwerpen: | |
| Online toegang: | ONIX_20260416T142754_9783725868322_2 |
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| _version_ | 1869518470383665152 |
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| collection | Directory of Open Access Books |
| description | This Reprint on Quantitative Supply Chain Management features research that applies advanced analytical and optimisation methods to diverse supply chain challenges. Topics include procurement coordination using swap and wholesale contracts, facility location under uncertain demand with distributionally robust optimisation, inventory control under demand shocks and deteriorating items, and strategic interactions in shared infrastructure using evolutionary game theory. Other contributions explore shortage policies with complex batch arrivals, emission-reduction technology decisions in port supply chains, and cost-optimised maintenance planning for offshore wind farms that considers weather-dependent failure rates. Collectively, these studies demonstrate how quantitative models—ranging from stochastic programming and game theory to robust and fuzzy optimisation—can improve decision-making, resilience, and sustainability in modern supply chains. This Reprint highlights how quantitative models—ranging from mixed-integer optimisation to simulation and artificial intelligence—can effectively support decision-making in real-world logistics, manufacturing, and service systems. Designed for researchers, practitioners, and postgraduate students in operations research, industrial engineering, and logistics, this Reprint aims to inspire the development and application of robust quantitative methods that drive innovation and strategic decision-making in modern supply chain management. |
| format | Online |
| id | doab-20.500.12854ir-175447 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1754472026-04-16T20:58:59Z Theoretical and Applied Mathematics in Supply Chain Management Song, Xiang Quantitative Supply Chain Management Mathematical Modelling Planning and Scheduling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science This Reprint on Quantitative Supply Chain Management features research that applies advanced analytical and optimisation methods to diverse supply chain challenges. Topics include procurement coordination using swap and wholesale contracts, facility location under uncertain demand with distributionally robust optimisation, inventory control under demand shocks and deteriorating items, and strategic interactions in shared infrastructure using evolutionary game theory. Other contributions explore shortage policies with complex batch arrivals, emission-reduction technology decisions in port supply chains, and cost-optimised maintenance planning for offshore wind farms that considers weather-dependent failure rates. Collectively, these studies demonstrate how quantitative models—ranging from stochastic programming and game theory to robust and fuzzy optimisation—can improve decision-making, resilience, and sustainability in modern supply chains. This Reprint highlights how quantitative models—ranging from mixed-integer optimisation to simulation and artificial intelligence—can effectively support decision-making in real-world logistics, manufacturing, and service systems. Designed for researchers, practitioners, and postgraduate students in operations research, industrial engineering, and logistics, this Reprint aims to inspire the development and application of robust quantitative methods that drive innovation and strategic decision-making in modern supply chain management. 2026-04-16T20:58:53Z 2026-04-16T20:58:53Z 2026 book ONIX_20260416T142754_9783725868322_2 9783725868322 9783725868339 https://directory.doabooks.org/handle/20.500.12854/175447 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12366 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6833-9 10.3390/books978-3-7258-6833-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725868322 9783725868339 318 CH open access |
| spellingShingle | Quantitative Supply Chain Management Mathematical Modelling Planning and Scheduling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Theoretical and Applied Mathematics in Supply Chain Management |
| title | Theoretical and Applied Mathematics in Supply Chain Management |
| title_full | Theoretical and Applied Mathematics in Supply Chain Management |
| title_fullStr | Theoretical and Applied Mathematics in Supply Chain Management |
| title_full_unstemmed | Theoretical and Applied Mathematics in Supply Chain Management |
| title_short | Theoretical and Applied Mathematics in Supply Chain Management |
| title_sort | theoretical and applied mathematics in supply chain management |
| topic | Quantitative Supply Chain Management Mathematical Modelling Planning and Scheduling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | Quantitative Supply Chain Management Mathematical Modelling Planning and Scheduling thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20260416T142754_9783725868322_2 |