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Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions
The introduction of Industry 4.0 technologies such as the Internet of Things (IoT), artificial
intelligence (AI), cloud computing, and others has revolutionised the traditional warehousing …
intelligence (AI), cloud computing, and others has revolutionised the traditional warehousing …
[HTML][HTML] AI-based decision support systems in Industry 4.0, A review
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19
Supply chains are gradually transforming into more global structures. To ensure
sustainability and resilience in face of the problems that arise in globalizing supply chains, it …
sustainability and resilience in face of the problems that arise in globalizing supply chains, it …
Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework …
Abstract Blockchain and Internet of Things (IoT) technologies have considerable potential to
achieve sustainability in logistics and supply chain management. However, the integration of …
achieve sustainability in logistics and supply chain management. However, the integration of …
What value does blockchain bring to the imported fresh food supply chain?
During the COVID-19 pandemic, blockchain has been widely used to trace imported fresh
food information from sources to destinations. Motivated by observations of real-world …
food information from sources to destinations. Motivated by observations of real-world …
Sustainable organizational performance, cyber-physical production networks, and deep learning-assisted smart process planning in Industry 4.0-based manufacturing …
Empirical evidence on sustainable organizational performance, cyber-physical production
networks, and deep learning-assisted smart process planning in Industry 4.0-based …
networks, and deep learning-assisted smart process planning in Industry 4.0-based …
[HTML][HTML] Planning of electric vehicle charging stations: An integrated deep learning and queueing theory approach
This study presents a hybrid solution for the charging station location-capacity problem. The
proposed approach simultaneously determines the location and capacity of charging …
proposed approach simultaneously determines the location and capacity of charging …
Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions
Supply chain decarbonisation has become a strategic requirement in the era of a net-zero
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …
The transformation from manual to smart warehousing: an exploratory study with Swedish retailers
Purpose To meet customers' expectations on shorter lead times, high product availability,
flexibility, and variation in delivery and return options, retailers have turned their attention to …
flexibility, and variation in delivery and return options, retailers have turned their attention to …
Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems
Scientific research on emerging technologies underscored the advantages of their
implementation within production systems, with a particular focus on artificial intelligence …
implementation within production systems, with a particular focus on artificial intelligence …