Results 181 to 190 of about 1,501,275 (273)

Efficient exact formulations for the flexible job shop scheduling with flexible maintenance

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract In modern manufacturing systems, integrating preventive maintenance into production scheduling is essential to ensure operational efficiency and equipment reliability. This paper addresses the flexible job shop scheduling problem under machine unavailability constraints caused by non‐fixed maintenance tasks.
Tom Perroux   +4 more
wiley   +1 more source

Application of staff rostering algorithms for emergency departments: protocol for a systematic review. [PDF]

open access: yesBMJ Open
Landa P   +5 more
europepmc   +1 more source

Driven by risk: Understanding reference‐dependent preferences using simulated auto racing

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Using data from over 56,000 simulated auto races worldwide, we analyze risk‐taking at the margins, consistent with reference‐dependent preferences. We show that participants' risk‐taking changes when a desired intermittent outcome is presented, sometimes at the expense of a more favorable expected end state.
James Hilliard   +2 more
wiley   +1 more source

Asymptotics of Time‐Varying Processes in Continuous‐Time Using Locally Stationary Approximations

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We introduce a general theory on stationary approximations for locally stationary continuous‐time processes. Based on the stationary approximation, we use θ$$ \theta $$‐weak dependence to establish laws of large numbers and central limit type results under different observation schemes.
Robert Stelzer, Bennet Ströh
wiley   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

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