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Adaptive appointment scheduling with periodic updates

Mahes, Roshan; Mandjes, Michel; Boon, Marko - In: Computers & operations research : an international journal 161 (2024), pp. 1-16

Persistent link: https://www.econbiz.de/10014559073

A flexible and optimal approach for appointment scheduling in healthcare

Kuiper, Alex; Mandjes, Michel; De Mast, Jeroen; … - In: Decision sciences 54 (2023) 1, pp. 85-100

Persistent link: https://www.econbiz.de/10014280010

Cramér-Lundberg asymptotics for spectrally positive Markov additive processes

Kreveld, Lucas van; Mandjes, Michel; Dorsman, Jan-Pieter - In: Scandinavian actuarial journal 2024 (2024) 6, pp. 561-582

Persistent link: https://www.econbiz.de/10015052470

A queueing-based approach for integrated routing and appointment scheduling

Bekker, Renée M.; Bharti, Bharti; Lan, Leon; Mandjes, … - In: European journal of operational research : EJOR 318 (2024) 2, pp. 534-548

Persistent link: https://www.econbiz.de/10015047964

Staffing for many-server systems facing non-standard arrival processes

Heemskerk, M.; Mandjes, Michel; Mathijsen, B. - In: European journal of operational research : EJOR 296 (2022) 3, pp. 900-913

Persistent link: https://www.econbiz.de/10013254334

On capital allocation for a risk measure derived from ruin theory

Delsing, G. A.; Mandjes, Michel; Spreij, P. J. C.; … - In: Insurance / Mathematics & economics 104 (2022), pp. 76-98

Persistent link: https://www.econbiz.de/10013264939

Tail Distribution of the Maximum of Correlated Gaussian Random Variables

Botev, Zdravko I. - 2015

In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...

Persistent link: https://www.econbiz.de/10013010233