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020 _a9783031500367
_9978-3-031-50036-7
024 7 _a10.1007/978-3-031-50036-7
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
245 1 0 _aAdvances in Computational Logistics and Supply Chain Analytics
_h[electronic resource] /
_cedited by Ibraheem Alharbi, Chiheb-Eddine Ben Ncir, Bader Alyoubi, Hajer Ben-Romdhane.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIV, 196 p. 40 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aUnsupervised and Semi-Supervised Learning,
_x2522-8498
505 0 _aIntroduction -- Innovative logistic techniques and Tools in Industry 4.0 -- Predictive analytics for quality control of logistic processes -- Artificial intelligence systems for smart logistics in the medicine sector -- Supply-Chain Management: Automating the purchase process based on machine learning techniques -- Multi Criteria Decision Making applications in Supply Chain Management -- Consumers’ Acceptance of Drones for last-mile delivery in emerging economy -- Evaluation methods to mitigate the risks of price fluctuations on inventory in contemporary economies -- Overview of using augmented reality techniques in logistics -- Computational methods for scheduling problems -- Digitalization and automation of supply chain processes -- Reverse Logistics: Evaluation of practices in hospitals in Saudi Arabia -- Combining Global Optimization Algorithms with Live Google Maps for Solving the Vehicle Routing Problem -- Conclusion. .
520 _aThis book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems. Highlights the importance of embedding and using computational methods to improve supply chain processes; Presents machine learning and data analytics techniques to solve supply chain optimization problems; Gives readers design and applications of computational methods automate transport, logistic and supply chain processes. .
650 0 _aTelecommunication.
650 0 _aBusiness logistics.
_961225
650 0 _aFacility management.
650 0 _aIndustrial Management.
_958197
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aSupply Chain Management.
_966371
650 2 4 _aFacility Management.
650 2 4 _aIndustrial Management.
_958197
700 1 _aAlharbi, Ibraheem.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973487
700 1 _aBen Ncir, Chiheb-Eddine.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973488
700 1 _aAlyoubi, Bader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973489
700 1 _aBen-Romdhane, Hajer.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973490
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031500350
776 0 8 _iPrinted edition:
_z9783031500374
776 0 8 _iPrinted edition:
_z9783031500381
830 0 _aUnsupervised and Semi-Supervised Learning,
_x2522-8498
_968420
856 4 0 _uhttps://doi.org/10.1007/978-3-031-50036-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c58491
_d58491