For sequential estimation of resource stocks, partial replacement sampling is conventionally thought to give stock estimates with lower standard errors than estimators using simple random samples. 'Viewing resource production scheduling as dynamic, stochastic optimization, partial replacement sampling is shown to be inefficient in certain instances compared with simple random sampling.