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                <identifier>oai:data.mendeley.com/t3n5m7pz3c.1</identifier>
                <datestamp>2026-07-12T23:02:32Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Ospina, Bruno</dc:creator>
    <dc:title>Dataset for residual concrete reuse and valorization under a circular economy approach in a ready-mix concrete plant</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset supports the analysis of residual ready-mix concrete generation, its fresh-state reuse, its recovery as recycled aggregate, and the final non-valorized waste management under a circular economy framework. The data is structured into two main parts:

Empirical Baseline Data: Provided directly by an anonymized Peruvian ready-mix concrete plant, including a comprehensive Data Dictionary, Monthly Production records (produced vs. delivered volumes), and Monthly Material Consumption (actual vs. standard standard indicators for sand, stone, cement, and admixtures) spanning from January 2024 to December 2025.

Simulation and Scenario Modeling: Developed by the authors based on the empirical baseline. It features aggregated values reported in the main manuscript, discrete-event simulation model parameters configured in Simio software (using continuous probability distributions such as Normal and Triangular for order arrivals, volumes, and residual rates), experimental scenario designs (Baseline, Conservative, Intermediate, Optimistic), and the corresponding mean simulation results (valorization and discard rates) evaluated over a simulation horizon of 3,485 operating hours (410 operating days).</dc:description>
    <dc:subject>Engineering</dc:subject>
    <dc:subject>Materials Science</dc:subject>
    <dc:subject>Environmental Science</dc:subject>
    <dc:contributor id="https://orcid.org/0009-0003-7509-3467">Diaz , Mauricio</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/t3n5m7pz3c.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/t3n5m7pz3c.1</dc:identifier>
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    <dc:date>2026-07-12T23:02:32Z</dc:date>
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