Название: Blockchain, IoT, and AI Technologies for Supply Chain ManagementАвтор: Priyanka Chawla, Adarsh Kumar, Anand Nayyar, Mohd Naved
Издательство: CRC Press
Серия: Innovations in Intelligent Internet of Everything (IoE)
Год: 2023
Страниц: 295
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB
Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains.
Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.
The Internet of Things (IoT) is a network of physical objects or people that are equipped with software, electronics, networks, and sensors to collect and exchange data. The Internet of Things aims to extend Internet connectivity beyond traditional devices like computers, smartphones, and tablets to more mundane products like toasters. As a result of the Internet of Things, virtually everything becomes “smart,” utilizing the power of data collection, AI algorithms, and networks to improve aspects of our life. Things in the Internet of Things include people with diabetes monitor implants, animals with tracking devices, and so on. IoT technology enables supply chain members to maximize their competitive advantage by attaining visual management and intelligent management throughout the supply chain, enhancing supply chain transparency, and facilitating information sharing.
Every day, trucks, ships, and humans must deliver, track, and account for millions of commodities. The Internet of Things connects these products, assets, and people across the supply chain, enabling efficiencies and optimizing operations that save companies time and money every year. IoT devices have the potential to have a substantial impact on all aspects of the supply chain, including warehouse management, transportation and logistics, and last-mile delivery to the end consumer. Manufacturers may increase operational efficiency, reduce theft and counterfeiting, and deliver outstanding customer service by responding to data from IoT devices in their supply chain; allows a manufacturer to see their whole supply chain in real time without having to rely on a third party to scan packaging at any point along the way; writes data from IoT sensors straight to their decentralized blockchain environment, ensuring that the data cannot be tampered with or hacked and is completely correct; and allows the end-user to scan the product to check that they’re getting the actual thing and that it’s in the best possible condition as specified by the manufacturer.
Artificial Intelligence (AI) is already incredibly powerful, and it’s only getting better. From social media to self-driving cars, the speed with which robots can be educated to replicate or even outperform humans is becoming increasingly important. Although still in the early phases of development, enterprise applications based on advanced technologies such as Machine Learning and AI are beginning to generate distinctive and novel business strategies. In the logistics and supply chain industries, these technologies have proven to be game changers.
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