Computational Approaches and Data Analysis in the Smart Supply Chain, with an Emphasis on AI, IoT and Big Data
A special issue of Mathematical and Computational Applications (ISSN 2297-8747).
Deadline for manuscript submissions: closed (15 December 2024) | Viewed by 1386
Special Issue Editors
Interests: classification; artificial neural networks; statistical analysis; data analysis; prediction; multivariate data analysis; multivariate statistics; data clustering; data mining and knowledge discovery; multiple linear regression
Interests: mobility and travel choices in urban and suburban areas; logistics strategies in the automotive industry and new business models related to sharing economy
Special Issue Information
Dear Colleagues,
Today, with the increasing growth of technology, the form of business and the interactions businesses have with customers have completely changed. Technology and the rise of the Internet have caused new businesses to emerge and many traditional businesses to change their shape and turn to using the Internet. Transformative tools and technologies have added different features to businesses, and through these tools businesses have found facilities that they did not have in the past. Tools like the Internet of Things and artificial intelligence have helped collect and refine big data. Big data, with its high production speed, high volume, and great variety, have helped businesses carry out analyses, as have analytical tools, such as artificial intelligence; transparent data storage systems, such as blockchain; and emphasized learning methods. These tools have a significant impact on energy saving by optimizing business processes. In this Special Issue, the goal is to show the presence of these technologies and their valuable roles in the development of businesses in innovative ways. Qualitative and quantitative analyses of important business sectors such as supply chain processes, production, sales, and marketing will form essential parts of this Special Issue, as will digital business reviews with an emphasis on transformative technologies.
Scope
- Digital supply chain models and frameworks;
- Applications of digital technologies in the development of sustainable supply chains;
- Smart supply chains and energy saving;
- IoT-based supply chain management;
- AIoT-based supply chain management;
- The role of transformative technologies in the smart supply chain;
- The smart supply chain and big data analysis;
- The use of artificial intelligence in the development of the smart supply chain;
- The use of machine learning in the development of intelligent systems in the smart supply chain;
- Supply chain for energy optimization;
- Supply chain and big data analysis;
- Computational intelligence;
- Smart supply chain based on the artificial intelligence of things;
- Quantitative models for sustainable supply chain processes;
- Cold chains based on the artificial intelligence of things;
- The impact of blockchain on business intelligence and the supply chain;
- Smart production and energy saving;
- Smart logistics based on the artificial intelligence of things;
- Smart transportation and energy saving;
- Intelligent distribution and monitoring systems;
- Security indicators in the technology-based smart supply chain.
Dr. Hamed Nozari
Dr. Agnieszka Szmelter-Jarosz
Guest Editors
Manuscript Submission Information
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Keywords
- digital sustainable business
- smart business
- big data
- internet of things
- artificial intelligence
- blockchain technology
- smart supply chain
- smart factories
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