Abstract
Fashion discounters face the problem of ordering the right amount of pieces in each size of a product. The product is ordered in pre-packs containing a certain size-mix of a product. For this so-called lot-type design problem, a stochastic mixed integer linear programm was developed, in which price cuts serve as recourse action for oversupply. Our goal is to answer the question, whether the resulting supply strategy leads to a supply that is significantly more consistent with the demand for sizes compared to the original manual planning. Since the total profit is influenced by too many factors unrelated to sizes (like the popularity of the product, the weather or a changing economic situation), we suggest a comparison method which excludes many outer effects by construction. We apply the method to a real-world field study: The improvements in the size distributions of the supply are significant.
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Notes
- 1.
An approximation of \(Q(x,\xi )\) can be computed by solving a mixed integer linear programm or a dynamic program.
- 2.
We use the notation from [3].
References
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© 2014 Springer International Publishing Switzerland
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Kießling, M., Kreisel, T., Kurz, S., Rambau, J. (2014). Evaluation of a New Supply Strategy for a Fashion Discounter. In: Helber, S., et al. Operations Research Proceedings 2012. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-00795-3_77
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DOI: https://doi.org/10.1007/978-3-319-00795-3_77
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