@article{Rabbani_Beladian Behbahan_Farrokhi-asl_Esmizadeh_2020, title={A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators}, volume={17}, url={https://bjopm.org.br/bjopm/article/view/705}, DOI={10.14488/BJOPM.2020.027}, abstractNote={<p><strong>Goals:</strong> We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem.</p> <p><strong>Methodology:</strong> Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get closer to the real world, heterogeneous workers are considered. As the actual scale of the problem cannot be solved by an exact method, two meta-heuristic algorithms, namely Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are proposed to solve the problem and reach approximate and efficient results in large scale.</p> <p><strong>Results:</strong> It observes that this model can plan the customers’ orders by considering their satisfaction. Also, comparing the results of these algorithms indicates a slight superiority of the SPEA2 method.</p> <p><strong>Limitations of the investigation: </strong>This study is mainly limited by clustering criteria. In the future, more criteria can be considered for analyzing customer behavior and expanding customer clusters.</p> <p><strong>Practical implications: </strong>This model can help all manufacturers who use MMAL by providing a Pareto front for deciding between costs and customers’ satisfaction.</p> <p><strong>Originality / Value:</strong> Applying k-medoids to cluster the customers for better orders management and proposing SPEA2 and NSGA-II for solving the problem are the main novelties of this study.</p>}, number={4}, journal={Brazilian Journal of Operations & Production Management}, author={Rabbani, Masoud and Beladian Behbahan, Seyedeh Zeinab and Farrokhi-asl, Hamed and Esmizadeh, Majedeh}, year={2020}, month={Oct.}, pages={1–20} }