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Systematic Configurator for Complexity Management in Manufacturing Systems.

Germán Herrera-Vidal1, Jairo R Coronado-Hernández2, Breezy P Martínez Paredes3

  • 1Industrial Engineering School, Universidad del Sinú, Cartagena 130001, Colombia.

Entropy (Basel, Switzerland)
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Summary
This summary is machine-generated.

This study introduces a complexity management configurator for manufacturing. It helps businesses reduce complexity using Lean Production and Industry 4.0, boosting operational efficiency and competitiveness.

Keywords:
complexityconfiguratorentropicmanagementmanufacturingsystem

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Area of Science:

  • Manufacturing Systems Engineering
  • Operations Management
  • Industrial Economics

Background:

  • Effective complexity management is vital for manufacturing competitiveness in global markets.
  • Economic growth is significantly influenced by efficient manufacturing operations.
  • Globalization necessitates advanced strategies for managing production complexity.

Purpose of the Study:

  • To develop a configurator for managing complexity in manufacturing systems.
  • To integrate Lean Production and Industry 4.0 principles for process optimization.
  • To systematically address the planning, organization, management, and control stages of complexity.

Main Methods:

  • An applied research study was conducted.
  • A diagnostic tool was applied across administrative process stages.
  • The study measured complexity and the implementation of advanced technological solutions.

Main Results:

  • The configurator aids in diagnosing complexity sources and optimizing operations.
  • Integration of Lean methodologies and Industry 4.0 technologies reduces static and dynamic complexity.
  • Enhanced operational efficiency and improved business performance were observed.

Conclusions:

  • The proposed configurator is a key tool for enhancing manufacturing competitiveness and sustainability.
  • It offers a tailored approach to complexity management for modern industrial demands.
  • Adoption of the configurator leads to greater operational efficiency and improved performance.