Viable and Agile Model for Improving the Quality Area in an Automotive Company in Mexico

The automotive industry is a key driver of global economic growth. However, traditional management approaches, relying on statistical tools and continuous improvement methodologies from the 1990s, lack the agility needed to address today’s complex challenges. This study proposes the Agile Viable Model (AVM), which integrates Viable System Model (VSM), Soft Systems Methodology (SSM), and Agile Methodologies to enhance responsiveness, resilience, and strategic decision-making in quality management. Applied to the Problem Resolution Process in Quality Control, the study identified low network connectivity, confirming that the system operates under a Supercritical Regime, limiting efficiency. Analyst involved and his leader emerged as critical nodes, with 68% of interactions being conflictual, revealing the need for improved communication and collaboration. To address these challenges, agile tools such as virtual boards, product logs, and daily meetings were integrated, optimizing process flexibility. CATWOE analysis facilitated the development of conceptual models aligned with organizational objectives. The Problem Resolution Process is vital both pre- and post-sale, influencing customer satisfaction and warranty costs. Strengthening connectivity and collaboration will lead to faster problem resolution, reduced costs, and enhanced reputation. The AVM offers a structured yet adaptive solution, improving operational efficiency and decision-making in automotive quality management.

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Publication Details

Journal
Systems
Published
2025-05-02
DOI
https://doi.org/10.3390/systems13050343
Citations
1
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
2.28

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article

Viable and Agile Model for Improving the Quality Area in an Automotive Company in Mexico

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, José Guillermo Takeo Nava, Blanca Alhely Ceballos Chávez
1 citations
Systems
Quality and Supply Management
2.28
article

Viable and Agile Model for Improving the Quality Area in an Automotive Company in Mexico

Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, José Guillermo Takeo Nava, Blanca Alhely Ceballos Chávez
article en
1 citations

Abstract

The automotive industry is a key driver of global economic growth. However, traditional management approaches, relying on statistical tools and continuous improvement methodologies from the 1990s, lack the agility needed to address today’s complex challenges. This study proposes the Agile Viable Model (AVM), which integrates Viable System Model (VSM), Soft Systems Methodology (SSM), and Agile Methodologies to enhance responsiveness, resilience, and strategic decision-making in quality management. Applied to the Problem Resolution Process in Quality Control, the study identified low network connectivity, confirming that the system operates under a Supercritical Regime, limiting efficiency. Analyst involved and his leader emerged as critical nodes, with 68% of interactions being conflictual, revealing the need for improved communication and collaboration. To address these challenges, agile tools such as virtual boards, product logs, and daily meetings were integrated, optimizing process flexibility. CATWOE analysis facilitated the development of conceptual models aligned with organizational objectives. The Problem Resolution Process is vital both pre- and post-sale, influencing customer satisfaction and warranty costs. Strengthening connectivity and collaboration will lead to faster problem resolution, reduced costs, and enhanced reputation. The AVM offers a structured yet adaptive solution, improving operational efficiency and decision-making in automotive quality management.

SystemsVol. 13(5)
Instituto Politécnico Nacional (MX)
Instituto Politécnico Nacional
Openalex Percentile: Top 12%
Quality and Supply Management
2.28
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Viable and Agile Model for Improving the Quality Area in an Automotive Company in Mexico — Jesús Jaime Moreno Escobar, Oswaldo Morales Matamoros, et al. · Systems (2025) | TGRS Research Map | TGRS