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For sustainable production and consumption, emerging green technologies must be optimized in order to achieve a minimal environmental impact, a maximal economic impact, and dynamic behavior. The need for environmentally sustainable production and consumption is now one of the main developmental goals. To enable a more sustainable production in the chemical sector, new green chemical technologies from renewable feedstock such as furfural (a chemical compound produced from biomass used as a building block in the production of biofuels) are currently being developed. Furfural, a versatile chemical, is also employed as a solvent, an extractant base for fungicides, and a platform for other compounds. In this work, the simultaneous optimization of design parameters and control properties, which are highly relevant targets according to the principles of green chemistry, is performed within the reaction zone in the production process of furfural from biomass. The Differential Evolution with Taboo List algorithm (DETL) is used to carry out the multiobjective optimization. The total annual cost (TAC), eco-indicator 99 (EI99), and condition number, which represent the objective functions for a sustainable process, are combined as economic, environmental, and controllability criteria, respectively. Based on the results, the operating conditions found allow for an acceptable furfural production of 2014.4 kg/h, which reduce costs by 39% and its environmental impact by 42% in a system with satisfactory control properties compared to a case base.