Income optimization of a biodiesel, glycerin and soap company using waste cooking oil
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Keywords
Waste cooking oil, biodiesel, mathematical programming, optimization
Resumen
Objective: Optimize a production unit for biodiesel, glycerin, and soap using a mathematical programming model (MPM). Determine the optimal quantities of waste cooking oil from different sources (ACD1 = glycerin and biodiesel; ACD2 = soap) to maximize the income of a biodiesel production company.
Design/methodology/approach: To assess the availability of ACD inputs, stratified sampling was conducted from February 8 to 19, 2021, measuring the ACD generation of restaurants in downtown Texcoco, State of Mexico. The analysis was conducted using an economic approach for a biofuel-producing company, considering 10 decision variables in the objective function (OF), subject to 18 constraints. These variables were based on the technical requirements to produce 1 liter of biodiesel and a 400 g bar of soap, using technical coefficients (input–product). Excel® Solver® was used to generate a sensitivity report and analyze shadow prices (SP) and reduced costs (RC).
Results: Monthly revenues exceeding $140,000 MXN were obtained. ACD2 emerged as the scarcest and most valuable input within the model.
Limitations on study/implications: Proper management of ACD disposal can generate income through the production of biodiesel, glycerin, and soap.
Findings/conclusions: MPM proves to be the most efficient method for utilizing kitchen waste and converting it into valuable products.