3 documents found, page 1 of 1
A context-aware decision support system for selecting explainable artificial in...
Reis, Marcelo I.; Gonçalves, João N. C.; Cortez, Paulo; Carvalho, M. Sameiro; Fernandes, João M.Explainable Artificial Intelligence (XAI) methods are valuable tools for promoting understanding, trust, and efficient use of Artificial Intelligence (AI) systems in business organizations. However, the question of how organizations should select suitable XAI methods for a given task and business context remains a challenge, particularly when the number of methods available in the literature continues to increa...
A context-aware decision support system for selecting explainable artificial in...
Reis, Marcelo I.; Gonçalves, João N. C.; Cortez, Paulo; Carvalho, Maria Sameiro; Fernandes, João M.Explainable Artificial Intelligence (XAI) methods are valuable tools for promoting understanding, trust, and efficient use of Artificial Intelligence (AI) systems in business organizations. However, the question of how organizations should select suitable XAI methods for a given task and business context remains a challenge, particularly when the number of methods available in the literature continues to increa...
A hybrid bi-objective optimization approach for joint determination of safety s...
Silva, Pedro M.; Gonçalves, João N. C.; Martins, Tiago M.; Marques, Luís C.; Oliveira, Miguel; Reis, Marcelo I.; Araújo, Luís; Correia, DanielaIn material requirements planning (MRP) systems, safety stock and safety time are two well-known inventory buffering strategies to protect against supply and demand uncertainties. While the role of safety stocks in coping with uncertainty is well studied, safety time has received only scarce attention in the supply chain management literature. Particularly, most previous operations research models have typicall...