These findings suggest that even with the very simple approximate solution procedure we use, the explicit consideration of congestion in lot sizing problems can be beneficial.
The next section presents a brief review of previous related work.
Section 3 introduces the functions used to represent the nonlinear relation between queue size and lead times of products.
Section 4 incorporates the functions developed in Section 3 into a multi-product dynamic lot sizing model.
Section 5 introduces the conventional lot sizing model without congestion that is used as a benchmark in our experiments.
Section 6 presents the computational experiments comparing the performance of the models.
We conclude the paper with a summary of the main conclusions and highlight some possible directions for future work.