Operational Database System for Ready-Mix Concrete Plant Management: A Comprehensive Dataset

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Auteurs principaux: Dr. Jyoti Jain, Arjun Beniwal
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2026
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author Dr. Jyoti Jain
Arjun Beniwal
author_facet Dr. Jyoti Jain
Arjun Beniwal
contents <p><em><span lang="EN-US">This dataset comprises operational records from a Ready-Mix Concrete manufacturing plant, covering batching operations, raw material procurement, logistics coordination, equipment maintenance, and quality control processes.<span> </span>Data was collected through integrated database management<span> </span>systems<span> </span>over<span> </span>a<span> </span>six-month<span> </span>period,<span> </span>capturing<span> </span>real-time<span> </span>production<span> </span>workflows. The dataset<span> </span>includes<span> </span>structured<span> </span>relational<span> </span>tables<span> </span>with<span> </span>validated<span> </span>entries<span> </span>for<span> </span>production<span> </span>volumes,<span> </span>material<span> </span>consumption,<span> </span>delivery<span> </span>schedules,<span> </span>and<span> </span>performance<span> </span>metrics.<span> </span>This<span> </span>comprehensive<span> </span>resource enables research in supply chain optimization, industrial database design, construction logistics, and operational efficiency analysis [1].</span></em></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18492778
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Operational Database System for Ready-Mix Concrete Plant Management: A Comprehensive Dataset
Dr. Jyoti Jain
Arjun Beniwal
Ready-mix concrete; database management; industrial operations; supply chain; batching systems; construction logistics
<p><em><span lang="EN-US">This dataset comprises operational records from a Ready-Mix Concrete manufacturing plant, covering batching operations, raw material procurement, logistics coordination, equipment maintenance, and quality control processes.<span> </span>Data was collected through integrated database management<span> </span>systems<span> </span>over<span> </span>a<span> </span>six-month<span> </span>period,<span> </span>capturing<span> </span>real-time<span> </span>production<span> </span>workflows. The dataset<span> </span>includes<span> </span>structured<span> </span>relational<span> </span>tables<span> </span>with<span> </span>validated<span> </span>entries<span> </span>for<span> </span>production<span> </span>volumes,<span> </span>material<span> </span>consumption,<span> </span>delivery<span> </span>schedules,<span> </span>and<span> </span>performance<span> </span>metrics.<span> </span>This<span> </span>comprehensive<span> </span>resource enables research in supply chain optimization, industrial database design, construction logistics, and operational efficiency analysis [1].</span></em></p>
title Operational Database System for Ready-Mix Concrete Plant Management: A Comprehensive Dataset
topic Ready-mix concrete; database management; industrial operations; supply chain; batching systems; construction logistics
url https://doi.org/10.5281/zenodo.18492778