A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks. (February 2023)

• Record Type: Journal Article
• Authors: Kabadurmus, Ozgur; Kayikci, Yaşanur; Demir, Sercan; Koc, Basar
• Is Part Of: Socio-economic planning sciences. Number 85(2023)
• Publication Date: 2023-02
• Subjects: Smart packaging -- Simulation -- COVID-19 -- Dynamic pricing -- Grocery store supply chain -- Packaged produce -- Smart product-service system -- Data-driven decision support system; smart PSS Smart Product-Service Systems -- RFID Radio Frequency Identification -- TTI Time-Temperature Indicator -- IoT Internet of Things -- ANOVA Analysis of Variance; Planning -- Periodicals; Economic policy -- Periodicals; Social policy -- Periodicals; Planification -- Périodiques; Politique économique -- Périodiques; Politique sociale -- Périodiques; ECONOMIC PLANNING; SOCIAL PLANNING; DECISION-MAKING; 361
• DOI: 10.1016/j.seps.2022.101417
• Languages: English
• ISSNs: 0038-0121

Abstract

Abstract: The 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. Graphical abstract: Image 1 Highlights: The unexpected emergence of the COVID-19 pandemic has changed the grocery shopping behaviour of customers. Smart packaging as a smart PSS enables higher quality and safe "no-touch" packaged products. Proposed a data-driven decision support system using smart packaging in a grocery store supply chain. The price is updated dynamically depending on freshness level of packaged products. Food waste and number of rejected customers are reduced while maximising profits.