A chance-constrained programming model for medical resources order and distribution scheduling based on time-space network

This paper studies the medical resources order and distribution scheduling problem with stochastic demand. A chance-constrained programming model is proposed based on time-space network with the objective of minimizing the hospital´s total operating costs. Generic algorithm is employed to solve the optimization model. The numerical test results show the good performance of the proposed method.