An Analytical Approach for Single and Mixed-Model Assembly Line Rebalancing and Worker Assignment Problem

In this paper, an analytical approach is used for assembly line rebalancing and worker assignment for single and mixed-model assembly lines, based on a heuristic-simulation algorithm. This approach helps managers to select a better marketing strategy while different combination of demands is suitable. Furthermore, it can be used as a guideline to know which worker assignment is better for each combination. We show the efficiency of the proposed approach for single and mixed-model assembly lines using different benchmarked standard test problems with different number of tasks, stations, skilled workers and demands. Comparisons show that the heuristic-simulation algorithm is faster than the GAMS software; and its results are rather optimum, or very close to the optimum values.