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• W3176551457 endingPage "102514" @default.
• W3176551457 startingPage "102514" @default.
• W3176551457 abstract "Investing in recoverable items is an increasing trend in a variety of manufacturing industries. Such industries seek to balance their supply chain costs while reducing solid waste (non-biodegradable). Our work develops mathematical models of inventory systems that rely on newly manufactured and recoverable items to satisfy market demand. Specifically, we consider continuous (r, Q) re-ordering policies for single-item inventory systems with stochastic demand and recycling. The first model assumes outsourcing the recovery of used items to a supplier, where returns (collected used items) arrive in random quantities with every order. The second model assumes performing the recovery process in-house; i.e., at the manufacturer's facility. The proposed mathematical framework considers an infinite time horizon where demand and the amount recovered are stochastic. This work focuses on developing environmentally responsible inventory policies/models that could help in greening supply chains. It also presents a numerical study to compare the proposed models and quantify the trade-off cost between the two; i.e., should the recovery process be in-house or outsourced." @default.
• W3176551457 created "2021-07-05" @default.
• W3176551457 creator A5030886244 @default.
• W3176551457 creator A5066450791 @default.
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• W3176551457 date "2021-12-01" @default.
• W3176551457 modified "2023-09-25" @default.
• W3176551457 title "Re-ordering policies for inventory systems with recyclable items and stochastic demand – Outsourcing vs. in-house recycling" @default.
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• W3176551457 doi "https://doi.org/10.1016/j.omega.2021.102514" @default.
• W3176551457 hasPublicationYear "2021" @default.
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