Quantitative Models for Retail Category Management: A Review of Assortment and Shelf Space Planning in Practice, Software Applications and Science

Author(s):  
Alexander H. Hübner ◽  
Heinrich Kuhn
2009 ◽  
Vol 26 (04) ◽  
pp. 457-478 ◽  
Author(s):  
B. RAMASESHAN ◽  
N. R. ACHUTHAN ◽  
R. COLLINSON

A retail category management model that considers the interplay of optimal product assortment decisions, space allocation and inventory quantities is presented in this paper. Specifically, the proposed model maximizes the total net profit in terms of decision variables expressing product assortment, shelf space allocation and common review period. The model takes into consideration several constraints such as the available shelf space, backroom inventory space, retailer's financial resources, and estimates of rate of demand for products based on shelf space allocation and competing products. The review period can take any values greater than zero. Results of the proposed model were compared with the results of the current industry practice for randomly generated product assortments of size six, ten and fourteen. The model also outperformed the literature benchmark. The paper demonstrates that the optimal common review period is flexible enough to accommodate the administrative restrictions of delivery schedules for products, without significantly deviating from the optimal solution.


2017 ◽  
Vol 10 (1) ◽  
pp. 123-156 ◽  
Author(s):  
Alexander Hübner ◽  
Kai Schaal
Keyword(s):  

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