Titlebook: Logistics Information Systems; Digital Transformati Batuhan Kocaoglu Textbook 2024 The Editor(s) (if applicable) and The Author(s), under e

Brain-Imaging

exceptional

Textbook 2024 overview of the IT infrastructure required for company operations, the types of enterprise software used in logistics, and current data collection technologies. It addresses the terminology, information flows, and application contexts of the necessary software, helping readers to see the big pictur

評(píng)論性

Chromatic

archaeology

Network, Telecommunication,mponents of a basic network, progressing to the intricacies of client/server computing, packet switching, and the transformative role of TCP/IP protocols. The chapter navigates through the OSI model, internet and web technologies, IP addresses, DNS, URLs, and HTTP. It also addresses the critical nee

arbiter

amyloid

Enterprise Applications in Logistics (Data Processing),es between on-premises and cloud solutions, then moves on to pivotal systems like ERP and MRP, as well as various facets of CRM. It delves into WMS and TMS, elucidating order fulfillment processes and the importance of data integration. Specialized systems like CLO and CMS are discussed, along with

不要不誠(chéng)實(shí)

Data Collection Technologies in Logistics,g logistics operations. It begins by emphasizing the importance of automatic data collection and subsequently delves into the world of barcodes, including traditional 1D barcodes, GTIN, EAN, UPC, and 2D barcodes like QR codes. Radio Frequency Identification (RFID) technology is extensively discussed

極力證明

cocoon

Data Science,een data, information, and knowledge. The chapter delves into the realm of big data and explores machine learning and artificial intelligence, including supervised, unsupervised, reinforcement, and deep learning techniques. Various methodologies and tools in data science are discussed, along with th