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Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces.

, , , и . SGAI Conf., стр. 231-243. Springer, (2015)

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Dieter Russell

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Другие публикации лиц с тем же именем

Predicting Fluid Work Demand in Service Organizations Using AI Techniques., , , , и . SGAI Conf., том 11311 из Lecture Notes in Computer Science, стр. 266-276. Springer, (2018)Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper)., , , и . SGAI Conf., том 11927 из Lecture Notes in Computer Science, стр. 167-179. Springer, (2019)Investigating RNNs for vehicle volume forecasting in service stations., , , , и . SSCI, стр. 2625-2632. IEEE, (2020)Mining Potentially Explanatory Patterns via Partial Solutions., , , , и . GECCO Companion, стр. 567-570. ACM, (2024)Optimising Skill Matching in the Service Industry for Large Multi-skilled Workforces., , , и . SGAI Conf., стр. 231-243. Springer, (2015)Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations., , , и . SGAI Conf., том 13101 из Lecture Notes in Computer Science, стр. 224-238. Springer, (2021)Explaining a Staff Rostering Problem by Mining Trajectory Variance Structures., , , , , и . SGAI Conf., том 14381 из Lecture Notes in Computer Science, стр. 275-290. Springer, (2023)Tactical Plan Optimisation for Large Multi-Skilled Workforces Using a Bi-Level Model., , , и . CEC, стр. 1-8. IEEE, (2018)Predicting Demand in IoT Enabled Service Stations., , , , и . CogSIMA, стр. 81-87. IEEE, (2019)On Predicting the Work Load for Service Contractors., , , , и . SGAI Conf., том 13652 из Lecture Notes in Computer Science, стр. 223-237. Springer, (2022)