International Journal of Computational Intelligence Systems

Volume 6, Issue 2, March 2013, Pages 261 - 278

A Discrete Constrained Optimization Using Genetic Algorithms for A Bookstore Layout

Authors
Tuncay Ozcan, Sakir Esnaf
Corresponding Author
Tuncay Ozcan
Received 23 May 2012, Accepted 19 October 2012, Available Online 1 March 2013.
DOI
https://doi.org/10.1080/18756891.2013.768447How to use a DOI?
Keywords
Store layout, Shelf location, Genetic algorithms, Tabu search, Association rule mining
Abstract

In retail industry, one of the most important decisions of shelf space management is the shelf location decision for products and product categories to be displayed in-store. The shelf location that products are displayed has a significant impact on product sales. At the same time, displaying complementary products close to each other increases the possibility of cross-selling of products. In this study, firstly, for a bookstore retailer, a mathematical model is developed based on association rule mining for store layout problem which includes the determination of the position of products and product categories which are displayed in-store shelves. Then, because of the NP-hard nature of the developed model, an original heuristic approach is developed based on genetic algorithms for solving large-scale real-life problems. In order to compare the performance of the genetic algorithm based heuristic with other methods, another heuristic approach based on tabu search and a simple heuristic that is commonly used by retailers are proposed. Finally, the effectiveness and applicability of the developed approaches are illustrated with numerical examples and a case study with data taken from a bookstore.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 2
Pages
261 - 278
Publication Date
2013/03/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.768447How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Tuncay Ozcan
AU  - Sakir Esnaf
PY  - 2013
DA  - 2013/03/01
TI  - A Discrete Constrained Optimization Using Genetic Algorithms for A Bookstore Layout
JO  - International Journal of Computational Intelligence Systems
SP  - 261
EP  - 278
VL  - 6
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.768447
DO  - https://doi.org/10.1080/18756891.2013.768447
ID  - Ozcan2013
ER  -