Abstract
Increasing the productivity of flow shops where mixed products are produced is difficult to be achieved by utilizing a fixed production schedule. In automobile production lines, especially in the process of painting, it is economical to input a batch of vehicles in the same color into the process after another one. However, in the process of assembly, such input sequence may cause imbalance in the line due to many problems. In practice, there are buffers placed between the painting process and the assembly process to mitigate such problem. Thus, the productivity can be improved by changing the input sequence of the products from the buffers to the assembly process. However, most of the rules for input sequence are generated on the basis of the experience of the product managers, it is difficult to derive input schedules that can be applied to the production of a new model or a new factory. Therefore, in this study, we developed an input algorithm that is able to find the bottleneck process and mitigate it in real time for the assembly line. Also, the effectiveness of the proposed algorithm is verified by comparing the productivity with the existing input rules through the simulation.
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More From: Korean Journal of Computational Design and Engineering
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