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• W2184363929 abstract "Inventory control models have been recently analyzed with environmental costs, objectives, and regulations. Nevertheless, the most of these studies investigate single-item inventory systems. In this study, we focus on the multi-item deterministic inventory system with environmental considerations. Particularly, we formulate the joint replenishment problem with a carbon emissions constraint, i.e., carbon cap regulation. The resulting formulation corresponds to a mixed-integer non-linear programming model. Due to the complexity of the resulting formulation, we focus on developing a heuristic solution method. Specifically, we propose a genetic algorithm that utilizes the properties of the joint replenishment problem with carbon cap constraint in its chromosome representation, mutation, and fitness evaluation steps. A set of numerical studies are conducted to analyze the efficiency of the genetic algorithm and the effects of the carbon cap regulation on different cost and emissions components." @default.
• W2184363929 created "2016-06-24" @default.
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• W2184363929 date "2014-01-01" @default.
• W2184363929 modified "2023-09-27" @default.
• W2184363929 title "Joint Replenishment Problem with Carbon Emissions Constraint" @default.
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• W2184363929 hasPublicationYear "2014" @default.
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