Measuring cannibalization in distribution networks : an approach to optimize store locations

Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 99). === A methodology was proposed to measure sales cannibalization using historic data con...

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Main Author: Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj)
Other Authors: Roy E. Welsch.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/83799
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-837992019-05-02T16:12:34Z Measuring cannibalization in distribution networks : an approach to optimize store locations Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj) Roy E. Welsch. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (page 99). A methodology was proposed to measure sales cannibalization using historic data containing variations in store densities. Sales cannibalization was defined as a decrease in the sales of one or several existing stores as a result of nearby store openings. The proposed methodology, combining regressions with geographic and other forms of cluster analysis, allowed measurement of the cannibalization, while controlling for other relevant sales drivers such as consumers' and geographic areas' characteristics, seasonality and the nature of the demand of the product category (impulsive and non-impulsive purchases). The analysis found evidence of sales cannibalization in the store network studied and showed that its severity varies according to consumers' and geographic areas' characteristics and product category. This last finding was particularly relevant, as cannibalization was consistently more severe for non-impulsive products. Based on the cannibalization measurements, sales functions were created and then optimized to find the number of stores maximizing total sales. This number represents saturation, meaning a point beyond which any new store opening in the area just redistributes sales. The number of stores maximizing sales, however, may not be the goal, particularly when fixed costs associated with operating stores are important and when attempting to maintain attractive businesses for store owners, which is relevant in franchised settings. by Sergio C. Sapaj. S.M.in Engineering and Management 2014-01-09T19:56:24Z 2014-01-09T19:56:24Z 2013 Thesis http://hdl.handle.net/1721.1/83799 865474672 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 99 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Engineering Systems Division.
spellingShingle Engineering Systems Division.
Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj)
Measuring cannibalization in distribution networks : an approach to optimize store locations
description Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 99). === A methodology was proposed to measure sales cannibalization using historic data containing variations in store densities. Sales cannibalization was defined as a decrease in the sales of one or several existing stores as a result of nearby store openings. The proposed methodology, combining regressions with geographic and other forms of cluster analysis, allowed measurement of the cannibalization, while controlling for other relevant sales drivers such as consumers' and geographic areas' characteristics, seasonality and the nature of the demand of the product category (impulsive and non-impulsive purchases). The analysis found evidence of sales cannibalization in the store network studied and showed that its severity varies according to consumers' and geographic areas' characteristics and product category. This last finding was particularly relevant, as cannibalization was consistently more severe for non-impulsive products. Based on the cannibalization measurements, sales functions were created and then optimized to find the number of stores maximizing total sales. This number represents saturation, meaning a point beyond which any new store opening in the area just redistributes sales. The number of stores maximizing sales, however, may not be the goal, particularly when fixed costs associated with operating stores are important and when attempting to maintain attractive businesses for store owners, which is relevant in franchised settings. === by Sergio C. Sapaj. === S.M.in Engineering and Management
author2 Roy E. Welsch.
author_facet Roy E. Welsch.
Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj)
author Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj)
author_sort Sapaj, Sergio C. (Sergio Cconstantino Sapaj Sabaj)
title Measuring cannibalization in distribution networks : an approach to optimize store locations
title_short Measuring cannibalization in distribution networks : an approach to optimize store locations
title_full Measuring cannibalization in distribution networks : an approach to optimize store locations
title_fullStr Measuring cannibalization in distribution networks : an approach to optimize store locations
title_full_unstemmed Measuring cannibalization in distribution networks : an approach to optimize store locations
title_sort measuring cannibalization in distribution networks : an approach to optimize store locations
publisher Massachusetts Institute of Technology
publishDate 2014
url http://hdl.handle.net/1721.1/83799
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