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Background: Considering the global concern in balancing economic growth with environmental sustainability, the study proposes a model to support multicriteria decision-making. From the systematic literature review and bibliometric analysis, there was an increasing trend in studies on electronic waste due to governments, stakeholders, and the population to better address the management of this waste; Methods: We propose a decision model considering some aspects and phases that help from collecting information to support decision making, based on the FITradeoff ordering method, to support policy decisions for managing Waste from Electrical and Electronic Equipment (WEEE) collection systems.; Results: After applying the proposed model, validated based on the perception of a decision-maker working in a federal public agency, we obtained the final classification with ten positions of alternatives; Conclusions: This outcome can assist in decision making and management of the collection of WEEE. In addition, we made recommendations to manufacturers have more responsibility in the design and traceability of the product to guarantee its recovery after disposal effectively.

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Considering the competitive context in which companies are established, in the current market, support tools that help in decision making are gaining more and more importance within organizations. In pursuit of a competitive advantage, demand forecasting methods help reduce costs while predicting, with as much precision as possible, the required quantity of each product as well as the right time. The objective of this work was to analyze the forecast of demand in a company of the agricultural sector, more specifically of the fruit growing, located in the city of Petrolina -PE, using the Holt -Winters Additive Model.