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Simulation and analytical tools are useful modeling methods to solve complex optimization problems. In this paper, we propose a simulation optimization framework called "Multi-fidelity Optimization with Ordinal Transformation and Optimal Sampling" (MO2TOS) when multi-fidelity models are available, and prove its efficiency by analyzing its convergence mechanism. The MO2TOS is a two-stage...
The emergency department (ED) serves as a primary patient entry point into hospitals, and bottlenecks in the ED cause patient flow problems and increase costs throughout the entire hospital. EDs increasingly employ discrete event simulation as an analytical decision making tool to alleviate these problems. Simulation models quantify complicated emergency care delivery systems and help improve emergency...
Referral incentive policy plays a key role in "Two-Level Healthcare Delivery System" established in urban China by means of guiding more patients to choose Community Health Centers (CHC) as the first treatment. However, two important questions about this referral incentive policy have not been investigated yet, including "Dose the referral incentive policy really work in the sense of...
Aiming at the anisotropy of omnidirectional motion, firstly, the kinematic model is analysed in this paper, then dynamic model based on Lagrange dynamics and virtual prototyping model made by dynamic software RecurDyn are built respectively. The influence of wheels' slippage toward direction of translation and maximal velocity is simualted and analysed on the same ground, we derives the anisotropy...
The most important concept of a market is price - the terms on which the trading objects (products or services) are exchanged. In an ideal market, the price is a reflection of the current state of the market, and therefore it should be dynamic. From the seller perspective, using an effective dynamic pricing strategy can make a difference between making a profit or loss in a market. In a grid marketplace,...
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