LEADER 04303nam 22006255 450 001 9910845487603321 005 20251204105703.0 010 $a3-031-50036-9 024 7 $a10.1007/978-3-031-50036-7 035 $a(CKB)31135788400041 035 $a(DE-He213)978-3-031-50036-7 035 $a(MiAaPQ)EBC31225619 035 $a(Au-PeEL)EBL31225619 035 $a(EXLCZ)9931135788400041 100 $a20240320d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Logistics and Supply Chain Analytics /$fedited by Ibraheem Alharbi, Chiheb-Eddine Ben Ncir, Bader Alyoubi, Hajer Ben-Romdhane 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (XIV, 196 p. 40 illus., 30 illus. in color.) 225 1 $aUnsupervised and Semi-Supervised Learning,$x2522-8498 311 08$a3-031-50035-0 320 $aIncludes bibliographical references and index. 327 $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. . 330 $aThis book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems. Highlights the importance of embedding and using computational methods to improve supply chain processes; Presents machine learning and data analytics techniques to solve supply chain optimization problems; Gives readers design and applications of computational methods automate transport, logistic and supply chain processes. . 410 0$aUnsupervised and Semi-Supervised Learning,$x2522-8498 606 $aTelecommunication 606 $aBusiness logistics 606 $aFacility management 606 $aIndustrial management 606 $aCommunications Engineering, Networks 606 $aSupply Chain Management 606 $aFacility Management 606 $aIndustrial Management 615 0$aTelecommunication. 615 0$aBusiness logistics. 615 0$aFacility management. 615 0$aIndustrial management. 615 14$aCommunications Engineering, Networks. 615 24$aSupply Chain Management. 615 24$aFacility Management. 615 24$aIndustrial Management. 676 $a658.70285 702 $aAlharbi$b Ibraheem 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910845487603321 996 $aAdvances in Computational Logistics and Supply Chain Analytics$94150867 997 $aUNINA