Dataset for residual concrete reuse and valorization under a circular economy approach in a ready-mix concrete plant

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).本数据集可支撑循环经济（circular economy）框架下预拌混凝土（ready-mix concrete）余料的产生、新鲜状态回用、作为再生骨料回收，以及最终未资源化废弃物管理等相关分析。该数据集分为两大主要部分： 1. 经验基准数据（Empirical Baseline Data）：由匿名化的秘鲁预拌混凝土工厂直接提供，包含完整的数据字典、2024年1月至2025年12月的月度生产记录（产量与交付量对比），以及同期的月度物料消耗数据（砂石、碎石、水泥及外加剂的实际消耗与标准指标对比）。 2. 仿真与场景建模（Simulation and Scenario Modeling）：由研究团队基于上述经验基准数据开发构建。该部分包含主手稿中报告的汇总数值、在Simio软件中配置的离散事件仿真模型参数（针对订单到达、物料体积及余料率，采用正态分布（Normal）与三角分布（Triangular）等连续概率分布进行设置）、实验场景设计（基准场景、保守场景、中等场景、乐观场景），以及在3485个运行小时（共计410个运营日）的仿真周期内评估得到的对应平均仿真结果（资源化率与丢弃率）。