Lot Sizing strategies are based on determining periods where production will take place and quantities to be produced in order to satisfy demand pattern imposed to system as parameter. Most of the studies in the literature aim to minimize total cost of lot sizing strategies. It is very well-known that related type of problem structure is very hard to solve optimally. Hence, a number of heuristic approaches are proposed to find a near optimum solution for pre-determined problem characteristics. In this study, one of recent algorithms proposed for problem is evaluated in respect of robustness. The aim of this paper is to test whether algorithmic structure of lot sizing strategy is adequate to fully characterize fluctuations in parameters. A discrete-event simulation model is established to understand performance outcomes of proposed strategy.