Μεγάλα δεδομένα και αναλυτική στα logistics και στη διοίκηση εφοδιαστικής αλυσίδας
Big data analytics in logistics and supply chain management
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Keywords
Big data ; Logistics ; Supply chain management ; Analytics ; Case studies ; Future trends ; Optimization ; Route planning ; Risk management ; Procurement ; Supplier management ; Warehouse management ; Warehouse management ; Manufacturing ; Supply chain sustainability ; Predictive analyticsAbstract
Recent years have seen an exponential increase in data, which has sparked the development of big data as an essential tool for decision-making across a variety of industries. No excep-tion applies to logistics and supply chain management (SCM), where the enormous volumes of data created may be used to boost customer satisfaction and operational effectiveness. With an emphasis on how information may be used to enhance supply chain activities such as demand forecasting, route optimization, supplier management, warehouse management, and risk management, this article examines the use of big data in logistics and SCM. We examine the advantages and difficulties of utilizing big data in logistics and supply chain management and highlight the current developments in this area.
Also, we give a general review of big data analytics and the many methods that may be used to examine and understand big data, including predictive analytics, machine learning, and data mining. We also provide case studies of businesses that have effectively used Big Data to enhance their supply chain operations.
Our discussion of future developments in big data and SCM concludes with the integration of blockchain, artificial intelligence, and Internet of Things (IoT) technologies. We empha-size the value of big data in SCM and the necessity for more study in this area as we draw to a close.
Overall, this article offers a thorough review of big data's function in supply chain man-agement (SCM) and its potential to transform the logistics sector. Logistics and SCM man-agers may get insightful information about business operations and make well-informed decisions that can eventually result in higher customer satisfaction, more efficiency, and cost savings by utilizing the power of big data.
Postgraduate Studies Programme
Βιομηχανική Διοίκηση και ΤεχνολογίαDepartment
Σχολή Ναυτιλίας και Βιομηχανίας. Tμήμα Βιομηχανικής Διοίκησης και TεχνολογίαςNumber of pages
84Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα