Extending the RetSim Simulator for Estimating the Cost of fraud in the Retail Store Domain
2015 (English)In: Proceedings of the European Modeling and Simulation Symposium, 2015, 2015Conference paper (Refereed)
RetSim is a multi-agent based simulator (MABS) calibrated with real transaction data from one of the largest shoe retailers in Scandinavia. RetSim allows us to generate synthetic transactional data that can be publicly shared and studied without leaking business sensitive information, and still preserve the important characteristics of the data.
In this paper we extended the fraud model of RetSim to cover more cases of internal fraud perpetrated by the staff and allow inventory control to flag even more suspicious activity. We also generated sufficient number of runs using a range of fraud parameters to cover a vast number of fraud scenarios that can be studied. We then use RetSim to simulate some of the more common retail fraud scenarios to ascertain exactly the cost of fraud using different fraud parameters for each case.
Place, publisher, year, edition, pages
Multi-Agent Based Simulation, Retail Store, Fraud Detection, Retail Fraud, Synthetic Data.
IdentifiersURN: urn:nbn:se:bth-10869ISBN: 978-88-97999-48-5ISBN: 978-88-97999-57-7OAI: oai:DiVA.org:bth-10869DiVA: diva2:865409
The 27th European Modeling and Simulation Symposium-EMSS, Bergeggi, Italy
FunderKnowledge Foundation, 20140032