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    A retail category management model integrating shelf space and inventory levels

    134032_134032.pdf (433.2Kb)
    Access Status
    Open access
    Authors
    Ramaseshan, Balasubramanian
    Achuthan, Narasimaha
    Collinson, Roger
    Date
    2009
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ramaseshan, B. and Achuthan, N.R. and Collinson, R. 2009. A retail category management model integrating shelf space and inventory levels. Asia-Pacific Journal of Operational Research. 26 (4): pp. 457-478.
    Source Title
    Asia-Pacific Journal of Operational Research
    DOI
    10.1142/S0217595909002304
    ISSN
    02175959
    Faculty
    Curtin Business School
    School of Marketing
    Remarks

    Electronic version of an article published as Journal of Operational Research. 26 (4): pp. 457-478. [http://dx.doi.org/10.1142/S0217595909002304 ] © [copyright World Scientific Publishing Company] http://www.worldscinet.com/apjor/.

    URI
    http://hdl.handle.net/20.500.11937/14739
    Collection
    • Curtin Research Publications
    Abstract

    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 withthe 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.

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