Developing a Cost-Effective, Reliable and Sustainable PC Supply System Under Price Volatility and Uncertain Materials Supply [supporting dataset]
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2025-01-01
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Corporate Contributors:Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Abstract:This dataset develops an integrated framework to optimize precast concrete supply logistics under uncertain demand, variable lead times, capacity limits, and quality requirements. Four major components are addressed: a cooperative procurement policy for perishable raw materials, a curing and yard-layout optimization model to reduce pallet cycles and energy use, a two-stage stochastic delivery model for multi-project distribution, and a physics-informed neural network linking material composition and curing conditions with compressive strength. Results show reduced total system cost, improved storage efficiency, lower curing expenses, and highly accurate strength prediction. The integrated approach enhances reliability, sustainability, and cost-effectiveness for transportation-related precast operations.
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Content Notes:As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2024-08-28. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDigitalSubmissions@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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Main Document Checksum:urn:sha-512:3df10e0bc8a31ae24bf60f2cf892ea05fb533c08b87c1e68af329b3eed566e3c085b27ecc83cc398b95fc1786587d313ea4b8a5eb08ce6b49c0758014e562a46
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