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R-SPLINE is a recently proposed competitor to the popular COMPASS algorithm for solving local integerordered simulation optimization problems that have either an unconstrained or a deterministically-constrained feasible region. R-SPLINE is a refined sample-average approximation algorithm with a structure that is particularly conducive to the inclusion of stochastic constraints. In this paper we consider one such trivial adaptation of R-SPLINE. Our aim is narrow in that we wish only todoi:10.1109/wsc.2013.6721476 dblp:conf/wsc/NagarajP13 fatcat:q7dw34riivaxfoescb5s5h5qzi