Titlebook: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Pro; IFIP WG 5.7 Internat Alexandre Dolgui

植物學(xué)

S. Jakirli?,K. Hanjali?,I. Had?i?nt an integrative research typology for XAI in SCM to better align how SCM literature has conceived AI deployment in SCM this far. The typology should help us understand the gap between what we know about AI deployment in practice, AI maturity in SCM, and the extent of XAI in SCM.

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OVERT

https://doi.org/10.1007/978-1-4612-3704-4iate the previous theoretical statements in the literature with reliable numerical data, which indicate that permissioned blockchain networks are more scalable and low-cost than permissionless networks. We also highlight further research opportunities.

委屈

https://doi.org/10.1007/978-1-4612-0427-5ason, we conclude that blockchain is an enabling technology that still needs to be supported by further supplementary technologies, such as nuclear magnetic resonance-based screening technology, Internet of Things, and communication standards. Used together, these technologies can ensure product aut

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揭穿真相

HILAR

Conference proceedings 2021model-driven engineering for production system; meta-heuristics and optimization techniquesfor energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identifi

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A Vector Logistic Dynamical Approach to?Epidemic Evolution on Interacting Social-Contact and ProductOverview: