We consider a stochastic inventory control problem with Markovian capacity and the option of order rejection. We show its optimal policy to be the combination of a capacity-dependent modified base-stock production policy and a capacity-dependent critical-point order acceptance policy. When capacity is stochastically monotone, we show that the policy parameters change over the current capacity l...

We trace the evolution of understandings and applications policy capacity through a meta-analysis studies in administrative sciences that focus on definitions or conceptualizations capacity, capability competency, political resources functioning systems, variables mechanisms leading to outcomes. critique disentangle common operationalizations, such as success failure, enable more complete asses...

This study's objective is to provide a situational analysis and map of the status strategic problems/issues pertaining variety topics, such as policies increase youth education capacity, including equalizing participation in urban rural areas, increasing education, equal access for marginalized groups, preparing an integrated information system IPP improvement. The research methodology consists...

Background Kenya introduced a free maternity policy in 2013 to address the cost barrier associated with accessing maternal health services. We carried out a mixed methods process evaluation of the policy to examine the extent to which the policy had been implemented according to design, and positive experiences and challenges encountered during implementation.   Methods We conducted a mixed met...

We present a classification-based policy iteration algorithm, called Direct Policy Iteration, and provide its finite-sample analysis. Our results state a performance bound in terms of the number of policy improvement steps, the number of rollouts used in each iteration, the capacity of the considered policy space, and a new capacity measure which indicates how well the policy space can approxim...

We present a classification-based policy iteration algorithm, called Direct Policy Iteration, and provide its finite-sample analysis. Our results state a performance bound in terms of the number of policy improvement steps, the number of rollouts used in each iteration, the capacity of the considered policy space, and a new capacity measure which indicates how well the policy space can approxim...