Evaluation Model for Operational Plans in the Business Macro Process of Reverse Logistics

The business macro process (BMP) of reverse logistics (RL) is formed by four operational plans, which in turn are composed of various processes. This article proposes a decision-making model based on identifying facilitators and barriers factors, helping managers evaluate operational plans in the BMP of RL in the company. For this, the model incorporates the Fuzzy Picture Set Fuzzy (PSF) to evaluate the influence of these factors and the MABAC method to aggregate the evaluations obtained on PFS. A case study was adopted to apply the evaluation model developed as a research strategy. As a result, the model was able to assist managers in evaluating the factors that most positively or negatively impact the execution of each operational plan in RL, reducing the manager’s cognitive effort and directing the company’s future investments.