Integrated Assessment Model for Quality and Safety Resources at A Textile Enterprise

General Background Consistently maintaining product conformity and safety within fabric manufacturing requires the systematic, coordinated governance of personnel, raw materials, equipment, and tracking systems. Specific Background Although ISO 9001 frameworks and defect-control programs are widely utilized, manufacturing facilities traditionally monitor human, material, technological, and informational inputs through disparate and disconnected metrics rather than evaluating their combined systemic status. Knowledge Gap Current literature extensively covers quality governance frameworks and blockchain-based tracking; however, the integrated evaluation of these four interconnected operational dimensions into a single operationalized dynamic index remains unaddressed for fabric enterprises. Aims This study develops and applies a transparent dynamic framework integrating 27 condition proxies across 36 months of operational data to monitor enterprise health and prioritize administrative interventions. Results Utilizing expert-assigned weights for normalization and aggregation, the total overall score demonstrated a marked increase from 0.09 in the first month to 0.97 by month 36. This upward trend indicates measurable improvements across the targeted dimensions—human capital, material inputs, technical stability, and information tracking—providing clear operational, tactical, and strategic decision thresholds for administrators. Novelty This framework introduces a structured, single-metric monitoring scheme combining previously isolated categories, enabling rapid identification of specific operational weaknesses in fabric manufacturing. Implications Plant supervisors can utilize this dynamic index to swiftly detect input deficiencies and target specific interventions, though the metric serves as a systemic health proxy rather than a direct measure of actual product safety outcomes. Highlights: Integrating 27 initial operational metrics generates a unified dynamic index to monitor enterprise health and supply allocation. Over a 36-month observation period, the aggregated overall score rose from 0.09 to 0.97, reflecting broad systemic improvements. The integrated framework successfully pinpoints departmental weaknesses, enabling targeted operational, tactical, and strategic administrative responses. Keywords: Composite Indicator, Textile Enterprise, Resource Management, Traceability, Quality Management

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Publication Details

Journal
Academia Open
Published
2026-11-09
DOI
https://doi.org/10.21070/acopen.12.2027.16284
Primary Topic
Quality and Management Systems
Type
article
Field-Weighted Citation Impact
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article

Integrated Assessment Model for Quality and Safety Resources at A Textile Enterprise

Nasibakhon Sokhibjamol kizi Sotvoldieva
Academia Open
Quality and Management Systems
article

Integrated Assessment Model for Quality and Safety Resources at A Textile Enterprise

Nasibakhon Sokhibjamol kizi Sotvoldieva
article en

Abstract

General Background Consistently maintaining product conformity and safety within fabric manufacturing requires the systematic, coordinated governance of personnel, raw materials, equipment, and tracking systems. Specific Background Although ISO 9001 frameworks and defect-control programs are widely utilized, manufacturing facilities traditionally monitor human, material, technological, and informational inputs through disparate and disconnected metrics rather than evaluating their combined systemic status. Knowledge Gap Current literature extensively covers quality governance frameworks and blockchain-based tracking; however, the integrated evaluation of these four interconnected operational dimensions into a single operationalized dynamic index remains unaddressed for fabric enterprises. Aims This study develops and applies a transparent dynamic framework integrating 27 condition proxies across 36 months of operational data to monitor enterprise health and prioritize administrative interventions. Results Utilizing expert-assigned weights for normalization and aggregation, the total overall score demonstrated a marked increase from 0.09 in the first month to 0.97 by month 36. This upward trend indicates measurable improvements across the targeted dimensions—human capital, material inputs, technical stability, and information tracking—providing clear operational, tactical, and strategic decision thresholds for administrators. Novelty This framework introduces a structured, single-metric monitoring scheme combining previously isolated categories, enabling rapid identification of specific operational weaknesses in fabric manufacturing. Implications Plant supervisors can utilize this dynamic index to swiftly detect input deficiencies and target specific interventions, though the metric serves as a systemic health proxy rather than a direct measure of actual product safety outcomes. Highlights: Integrating 27 initial operational metrics generates a unified dynamic index to monitor enterprise health and supply allocation. Over a 36-month observation period, the aggregated overall score rose from 0.09 to 0.97, reflecting broad systemic improvements. The integrated framework successfully pinpoints departmental weaknesses, enabling targeted operational, tactical, and strategic administrative responses. Keywords: Composite Indicator, Textile Enterprise, Resource Management, Traceability, Quality Management

Academia OpenVol. 12(1)
Andijon davlat texnika insituti (UZ)
Industry, innovation and infrastructure
Quality and Management Systems
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