Xiuli Qu

TL;DR: In this paper, the authors present a comprehensive literature analysis on the state-of-the-art research of bidding strategy modeling methods, including game theory, mathematical programming, game theory and agent-based models.

TL;DR: A stochastic programming model is proposed to determine how supplies should be positioned and distributed among a network of cooperative warehouses to more effectively preposition supplies in preparation for their distribution at an operational level.

TL;DR: Study of open access scheduling shows that successful implementation can be strongly influenced by clinic characteristics, indicating that open access policies must be designed to account for local clinical conditions.

TL;DR: For the first time, a closed-form approach is presented to determine the optimal percentage of open-access appointments to match daily healthcare provider capacity to demand and it is demonstrated that the optimal Percentage mainly depends on the ratio of the average demand for open- Access appointments to provider capacity and the ratios of the show-up rates for prescheduled and open- access appointments.

TL;DR: It is shown that for the scenarios with heavy load of elective surgeries, the genetic algorithm can find approximate optimal solutions significantly faster than the commercial solver.