A Case Study for Minimal Cost Shopping in a Cluster of Online Stores

Thiago França, Rodrigo Campiolo, Lilian Candido

2022

Abstract

This work proposes and evaluates mechanisms to converge to the purchase configuration with minimal cost for a product list in an online stores cluster. We collected and stored product prices in a database, and used caching to reduce client response time. We designed, implemented, and compared two Integer Linear Programming solutions to achieve purchase configuration with minimal cost. A case study was conducted to evaluate these mechanisms. The results demonstrated that developed mechanisms found optimal solutions with response time guarantees. Empirical tests in the case study with 100 different products and 118 providers converged in about 9 seconds.

Paper Citation

in Harvard Style

França T., Campiolo R. and Candido L. (2022). A Case Study for Minimal Cost Shopping in a Cluster of Online Stores. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-569-2, pages 717-723. DOI: 10.5220/0011040000003179

in Bibtex Style

@conference{iceis22,
author={Thiago França and Rodrigo Campiolo and Lilian Candido},
title={A Case Study for Minimal Cost Shopping in a Cluster of Online Stores},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2022},
pages={717-723},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011040000003179},
isbn={978-989-758-569-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Case Study for Minimal Cost Shopping in a Cluster of Online Stores
SN - 978-989-758-569-2
AU - França T.
AU - Campiolo R.
AU - Candido L.
PY - 2022
SP - 717
EP - 723
DO - 10.5220/0011040000003179