The Hidden Factory: Quantifying Informational Waste and Operational Capacity Loss in Manufacturing

Abstract Operational efficiency is critical for sustained competitive advantage in the global manufacturing sector. However, organizational performance is often undermined by the “Hidden Factory” (HF)—an ensemble of non-productive activities that consume resources without generating value. This research empirically investigates the nature and manifestation of the HF within organizational processes, drawing on Lean and Total Quality Management (TQM) principles. A quantitative survey methodology was employed on a stratified sample of employees from diverse industries in Romania. The study sought to quantify loss identification, conceptual awareness, and barriers to improvement. Key findings reveal a substantial organizational disconnect: while formal awareness of the HF concept is low (18–24% of respondents), operational recognition of non-value-added processes is exceptionally high (72%). The dominant losses are organizational and informational, specifically manual processes (44%) and defective communication (42%), indicating a critical need for digital transformation. The primary barrier to improvement is the lack of dedicated managerial support and resource allocation. This study provides empirical data from an emerging European economy, highlighting a shift in organizational waste from physical defects to systemic informational friction. Mitigating the HF—estimated to consume 20–40% of operational capacity—requires strategic leadership commitment to digitalization, process standardization, and Lean Six Sigma methodologies.

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Publication Details

Journal
Acta Universitatis Cibiniensis Technical Series
Published
2025-12-01
DOI
https://doi.org/10.2478/aucts-2025-0008
Primary Topic
Quality and Supply Management
Type
article
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article

The Hidden Factory: Quantifying Informational Waste and Operational Capacity Loss in Manufacturing

Călin Deneş, Valentin Grecu
Acta Universitatis Cibiniensis Technical Series
Quality and Supply Management
article

The Hidden Factory: Quantifying Informational Waste and Operational Capacity Loss in Manufacturing

Călin Deneş, Valentin Grecu
article en

Abstract

Abstract Operational efficiency is critical for sustained competitive advantage in the global manufacturing sector. However, organizational performance is often undermined by the “Hidden Factory” (HF)—an ensemble of non-productive activities that consume resources without generating value. This research empirically investigates the nature and manifestation of the HF within organizational processes, drawing on Lean and Total Quality Management (TQM) principles. A quantitative survey methodology was employed on a stratified sample of employees from diverse industries in Romania. The study sought to quantify loss identification, conceptual awareness, and barriers to improvement. Key findings reveal a substantial organizational disconnect: while formal awareness of the HF concept is low (18–24% of respondents), operational recognition of non-value-added processes is exceptionally high (72%). The dominant losses are organizational and informational, specifically manual processes (44%) and defective communication (42%), indicating a critical need for digital transformation. The primary barrier to improvement is the lack of dedicated managerial support and resource allocation. This study provides empirical data from an emerging European economy, highlighting a shift in organizational waste from physical defects to systemic informational friction. Mitigating the HF—estimated to consume 20–40% of operational capacity—requires strategic leadership commitment to digitalization, process standardization, and Lean Six Sigma methodologies.

Acta Universitatis Cibiniensis Technical SeriesVol. 77(1)
Lucian Blaga University of Sibiu (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Quality and Supply Management
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The Hidden Factory: Quantifying Informational Waste and Operational Capacity Loss in Manufacturing — Călin Deneş, Valentin Grecu · Acta Universitatis Cibiniensis Technical Series (2025) | TGRS Research Map | TGRS