An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles

Ali Borumand, Ahmadreza Marandi, Ali S. Nookabadi and Zümbül Atan

Omega, 2024, vol. 122, issue C

Abstract: The demand for glass bottles is exhibiting an upward trend over time. The manufacturing of glass bottles is costlier in terms of time and resources and is associated with a higher level of heat generation and environmental pollution compared to recycling processes. In response to the aforementioned challenges, companies that use glass bottles need to implement strategies to manage their reverse supply chains in conjunction with their traditional supply chains, as the economic and environmental benefits of returned products are unquestionable. Closed-loop supply chains (CLSCs) integrate forward and reverse flows of products and information. This integration helps companies to have a broader view of the whole chain. Despite these advantages, managing CLSCs can be challenging as they are exposed to many uncertainties regarding supply and demand processes, travel times, and quantity/quality of returned products.

Keywords: Closed-loop supply chain; Uncertain demand; Adjustable robust optimization; Vehicle routing problem; Oracle-based algorithm (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.omega.2023.102939

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