ArticlePloS one2023
A location-inventory model for the sustainable supply chain of perishable products based on pricing and replenishment decisions: A case study.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Optimization of sustainable supply chains under uncertainty: integrating Internet of Things and blockchain.Scientific reports · 2026Article
- Implementation of circularity in food supply chain based on big data techniques using Einstein's fuzzy methods.Scientific reports · 2025Article
- An improved hybrid artificial bee colony algorithm for a multi-supplier closed-loop location inventory problem with customer returns.PloS one · 2025Article
- A risk-averse sustainable perishable food supply chain considering production and delivery times with real-world application.PloS one · 2024Article
- Article
- A multi-level multi-product supply chain network design of vegetables products considering costs of quality: A case study.PloS one · 2024Article
- R&D mode and coordination of green products in sustainable supply chain considering power structures.PloS one · 2023Article
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Authors and funding
3 authors.
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Abstract
In recent decades, changes in people's lifestyles and occupations have led to new food consumption patterns around the world, with a notable growth in the demand for ready meals and meat products. Accordingly, the food industry has tried to transform the global food culture by promoting its more profitable products to become able to set a higher price for meat. Considering the short lifetime of products in perishable food supply chains, inventory decisions are considered crucial. In addition, the demand for perishable food products is greatly affected by their freshness. In this paper, we develop a multi-objective mixed-integer non-linear programming model for a four-level sustainable supply chain (SC) of a perishable product with price-dependent demand and deterioration rates. The SC consists of suppliers, a production center (PC), distribution centers (DCs), and retailers. We aim to ascertain the optimal pricing policy and cycle length to maximize profit, achieve specific social objectives, and minimize the total cost and adverse environmental impacts. The proposed model determines the deterioration rate of each product according to its expiration date, the optimal location of supply-side facilities, and the flow rate between the facilities based on the selected mode of delivery. The products are delivered to the retailers by a mechanized transportation system either directly from the PC or indirectly through the DCs. Finally, an actual case study is provided to demonstrate the applicability of the model and our theoretical results under real-world conditions. We solve the case study by a preemptive fuzzy goal programming method and perform several sensitivity analyses on the results. By performing simultaneous sensitivity analyses on the demand and expiration dates, the optimal values of the problem's parameters are determined. The optimal values help decision-makers make optimal decisions regarding the selling price of products and replenishment times. The model is applicable to supply chains of any perishable items with expiration dates.
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