TY - JOUR AU - Rabbani, Masoud AU - Beladian Behbahan, Seyedeh Zeinab AU - Farrokhi-asl, Hamed AU - Esmizadeh, Majedeh PY - 2020/10/06 Y2 - 2024/03/29 TI - A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators JF - Brazilian Journal of Operations & Production Management JA - BJO&PM VL - 17 IS - 4 SE - Research paper DO - 10.14488/BJOPM.2020.027 UR - https://bjopm.org.br/bjopm/article/view/705 SP - 1-20 AB - <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> ER -