2016
EMSS 2016 Proceeding
Simulating the assorting planning process to support the decision-making of grocery wholesalers: the mexican market case
Authors: S. Flores Monroy
Abstract
Having the best assortment in a retail store is a complex task for the category manager in which their main job is to maximize the overall performance of each of the products cataloged, maintaining a balance between suppliers, the company and customers. The accommodations made on the shelf are made by assortment planning models in which only a single category is used to carry out this choice. However, they are overwhelmed when they have to evaluate between categories, such as complementary products. It has developed assortment planning model with dynamic programming in which based on Monte Carlo simulation using @RISK software to support the decision-making of a Mexican grocery wholesaler. Our simulation results demonstrate that increasing the scope of faces to analyze, we can give the decision maker a better picture of the assortment the store should display.
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