All Outputs (4)

Challenges for the adoption of industry 4.0 in the sustainable manufacturing supply chain (2023)
Book Chapter
Owolabi, H., Juryte, L., & Akanbi, L. (2023). Challenges for the adoption of industry 4.0 in the sustainable manufacturing supply chain. In K. E. K. Vimal, S. Rajak, V. Kumar, R. S. Mor, & A. Assayed (Eds.), Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains (175-188). Singapore: Springer. https://doi.org/10.1007/978-981-99-4819-2_12

This book chapter explores the challenges associated with adopting Industry 4.0 technologies in the context of achieving a sustainable manufacturing supply chain. The chapter highlights both general and technology-specific hurdles that organizations... Read More about Challenges for the adoption of industry 4.0 in the sustainable manufacturing supply chain.

Supply chain decision-making using artificial intelligence and data analytics (2023)
Book Chapter
Akanbi, L. A., Adenuga, K. I., & Owolabi, H. (2023). Supply chain decision-making using artificial intelligence and data analytics. In K. E. K. Vimal, S. Rajak, V. Kumar, R. S. Mor, & A. Assayed (Eds.), Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains (25-34). Springer. https://doi.org/10.1007/978-981-99-4819-2_2

This chapter examines the use of artificial intelligence, data analytics and other digital technologies in the management of the supply chain decision-making. The study highlights the challenges faced by supply chain managers and how the application... Read More about Supply chain decision-making using artificial intelligence and data analytics.

Data-driven tools for building energy consumption prediction: A review (2023)
Journal Article
Olu-Ajayi, R., Alaka, H., Owolabi, H., Akanbi, L., & Ganiyu, S. (2023). Data-driven tools for building energy consumption prediction: A review. Energies, 16(6), 2574. https://doi.org/10.3390/en16062574

The development of data-driven building energy consumption prediction models has gained more attention in research due to its relevance for energy planning and conservation. However, many studies have conducted the inappropriate application of data-d... Read More about Data-driven tools for building energy consumption prediction: A review.

Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities (2023)
Journal Article
Saka, A. B., Oyedele, L. O., Akanbi, L. A., Ganiyu, S. A., Chan, D. W., & Bello, S. A. (2023). Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities. Advanced Engineering Informatics, 55, 101869. https://doi.org/10.1016/j.aei.2022.101869

The idea of developing a system that can converse and understand human languages has been around since the 1200 s. With the advancement in artificial intelligence (AI), Conversational AI came of age in 2010 with the launch of Apple's Siri. Conversati... Read More about Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities.