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This paper presents a Simulation Optimization (SO), decision-support tool developed for metal accessories’ suppliers in the fashion industry. The tool is composed of a discrete-event simulator and a multi-objective, integer linear-optimization scheduler, based on a commercial spreadsheet and an open-source solver, linked together through an import-export routine. The tool can be used to enable suppliers to compare scheduling algorithms in order to optimize their performances compliant with customers’ due dates and reducing cost and processing time, under variable and uncertain production plans, as a result of the aggregation of production orders received from various brands. The model has been applied to a real company, where costs, delay, and advances are considered in order to define the Objective Function (OF), whilst rush orders are introduced to simulate stochastics events.