Abstract
In this research, a real-life Line Balancing Problem (LBP) at a metalworking company is considered to find the minimum number of workstations. Tasks are assigned to workstations aiming to minimize the required number of workstations, subject to considering a given production rate and satisfying the precedence relationships between tasks. Besides, line efficiency and smoothness index are considered as the second and the third objectives to select the best solution. The straight and the U-shaped lines have been considered for the layout configuration. Several solution methods, including Ranked Positional Weight (RPW), a modified version of RPW which is called Revised-RPW, and the Revised-COMSOAL, which is a recent-proposed, and one of the most efficient heuristic methods, are used to balance the production line and workstations, assuming deterministic tasks’ processing times.
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Mirzaei, N., Nejad, M.G. (2023). Optimizing a Real Case Assembly Line Balancing Problem Using Various Techniques. In: Akan, T., Anter, A.M., Etaner-Uyar, A.Ş., Oliva, D. (eds) Engineering Applications of Modern Metaheuristics. Studies in Computational Intelligence, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-031-16832-1_10
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