FACTORY DATA MANAGEMENT SYSTEM: IMPROVING INDUSTRIAL OPERATIONS' EFFICIENCY AND DECISION-MAKING

A robust Factory Data Management System (FDMS) is necessary to maximize resource utilization, optimizeworkflows, and improve decision-making processes due to the increasing complexity of industrial operations. Inorder to guarantee smooth data processing and accessibility, this paper proposes an FDMS framework thatmakes use of cloud computing and structured database management strategies. The system is made to supportseveral factory departments, such as production, administration, and compliance management. Analyzingcurrent factory data management procedures, putting in place a scalable FDMS, and assessing how it affectsproductivity and operational decision-making are all part of the research methodology. The findings show thatin industrial settings, FDMS implementation greatly increases accuracy, decreases downtime, and improvescompliance

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15200930
Primary Topic
Vasculitis and related conditions
Type
article
Field-Weighted Citation Impact
0.00
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article

FACTORY DATA MANAGEMENT SYSTEM: IMPROVING INDUSTRIAL OPERATIONS' EFFICIENCY AND DECISION-MAKING

Zenodo (CERN European Organization for Nuclear Research)
Vasculitis and related conditions
article

FACTORY DATA MANAGEMENT SYSTEM: IMPROVING INDUSTRIAL OPERATIONS' EFFICIENCY AND DECISION-MAKING

article en

Abstract

A robust Factory Data Management System (FDMS) is necessary to maximize resource utilization, optimizeworkflows, and improve decision-making processes due to the increasing complexity of industrial operations. Inorder to guarantee smooth data processing and accessibility, this paper proposes an FDMS framework thatmakes use of cloud computing and structured database management strategies. The system is made to supportseveral factory departments, such as production, administration, and compliance management. Analyzingcurrent factory data management procedures, putting in place a scalable FDMS, and assessing how it affectsproductivity and operational decision-making are all part of the research methodology. The findings show thatin industrial settings, FDMS implementation greatly increases accuracy, decreases downtime, and improvescompliance

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Vasculitis and related conditions
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