This paper addresses the single-item, non-stationary stochastic demand inventory control problem under the nonstationary (R,S) policy. In non-stationary (R,S) policies two sets of control parameters—the review intervals, which are not necessarily equal, and the order-up-to-levels for replenishment periods—are fixed at the beginning of the planning horizon to minimize the expected total cost. It...

This paper addresses the single-item, non-stationary stochastic demand inventory control problem under the nonstationary (R,S) policy. In non-stationary (R,S) policies two sets of control parameters—the review intervals, which are not necessarily equal, and the order-up-to-levels for replenishment periods—are fixed at the beginning of the planning horizon to minimize the expected total cost. It...

conclusions willingness to pay can be affected by experiencing an accident, the distance of the daily trip, and helmet use. the cost of traffic injuries among motorcyclists shows that this rate is much higher than the global average. thus, expenditure should be made on effective initiatives such as the safety of motorcyclists. results the mean wtp was 888,110 irr (iranian rial) among motorcycli...

We propose a novel Bayesian Optimization approach for black-box functions with an environmental variable whose value determines the tradeoff between evaluation cost and the fidelity of the evaluations. Further, we use a novel approach to sampling support points, allowing faster construction of the acquisition function. This allows us to achieve optimization with lower overheads than previous ap...

Linear regression models are often used to represent the cost and effectiveness of medical treatment. The covariates used may include sociodemographic variables, such as age, gender or race; clinical variables, such as initial health status, years of treatment or the existence of concomitant illnesses; and a binary variable indicating the treatment received. However, most studies estimate only ...

An important class of optimization problems in control and signal processing involves the constraint that a Popov function is nonnegative on the unit circle or the imaginary axis. Such a constraint is convex in the coefficients of the Popov function. It can be converted to a finitedimensional linear matrix inequality via the Kalman-Yakubovich-Popov lemma. However, the linear matrix inequality r...