1-s2.0-S003801212200218X-main.pdf (3.48 MB)
A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks
journal contribution
posted on 2023-06-10, 04:26 authored by Ozgur Kabadurmus, Yasanur Kayikci, Sercan Demir, Basar KocThe unexpected emergence of the COVID-19 pandemic has changed how grocery shopping is done. The grocery retail stores need to ensure hygiene, quality, and safety concerns in-store shopping by providing “no-touch” smart packaging solutions for agri-food products. The benefit of smart packaging is to inform consumers about the freshness level of a packaged product without having direct contact. This paper proposes a data-driven decision support system that uses smart packaging as a smart product-service system to manage the sustainable grocery store supply chain during outbreaks to prevent food waste. The proposed model dynamically updates the price of a packaged perishable product depending on freshness level while reducing food waste and the number of rejected customers and maximising profit by increasing the inventory turnover rate of grocery stores. The model was tested on a hypothetical but realistic case study of a single product. The results of this study showed that stock capacities, freshness discount rate, freshness period, and quantity discounts significantly affect the performance of a grocery store supply chain during outbreaks.
History
Publication status
- Published
File Version
- Published version
Journal
Socio-Economic Planning SciencesISSN
0038-0121Publisher
ElsevierExternal DOI
Page range
1-12Department affiliated with
- SPRU - Science Policy Research Unit Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-08-09First Open Access (FOA) Date
2022-09-23First Compliant Deposit (FCD) Date
2022-08-09Usage metrics
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