Abstract
In order to operate effectively a mixed-model production line on which a variety of models of the same general product is intermixed, it is essential to determine the sequence in the flow of models. For a practical large-scale mixed-model production line which is subject to system variability, this paper develops a heuristic procedure which iteratively improves a given sequence into the optimum or near-optimum solution by inserting a model of the sequence into other positions and interchanging model pairs of the sequence. By extensively discussing solution times, the quality of solutions obtained by this procedure, and the probability that a given initial sequence reaches the optimum solution, the paper has shown that the procedure generates the optimum and near-optimum solutions highly effectively. Run times grow approximately as M2.2 with the size (M) of models, and linearly with the number of stations.
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