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July 9, 2026Eng—Advances in Engineering0 citationsOpen Access

Integrated Application of SLP and CAD Tools for Layout Optimization in a Horizontal Blind Manufacturing Process

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ARAraceli Maldonado ReyesRGRicardo Daniel López GarcíaMGMaría Magdalena Reyes Gallegos

Key Points

  • The aim was to implement Systematic Layout Planning (SLP) and CAD tools to optimize manufacturing processes.
  • Used AutoCAD for modeling facility layouts and visualizing improvements.
  • Applied ABC classification and root cause analysis for inventory issue identification.
  • Assessed space utilization and material handling before and after layout changes.
  • Added 340 m2 of usable space, a 21.5% increase over initial requirements.
  • Reduced material travel distance from 317 m to 109 m, a decrease of 65.6%.
  • Improved workflow continuity and operational efficiency through layout optimization.

Abstract

Currently, the global manufacturing industry faces significant challenges due to increasingly competitive and constantly changing markets. Therefore, adapting to customer needs and improving efficiency and productivity are essential to compete internationally. Plant design and layout play a crucial role in production, material handling, time, and operational costs. The objective of this research was to implement the Systematic Layout Planning (SLP) methodology, supported by CAD and quality tools, to free up 280 m2 for production processes in a horizontal blind manufacturing company. AutoCAD was used to model the facilities and visualize pre- and post-improvement scenarios, while ABC classification and root cause analysis supported problem identification in inventory areas. Results show a released expansion area of 340 m2, corresponding to 21.5% above the initial space requirement, and a reduction in material travel distance from 317 m to 109 m, equivalent to 65.6%. These improvements enhanced workflow continuity and operational efficiency. The integration of SLP with CAD and quality tools provides a replicable framework for layout optimization in manufacturing environments, while future research should validate the approach under dynamic production conditions.

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Cite This Study

Reyes et al. (2026) studied this question.

synapsesocial.com/papers/6a4f3bb72b81a944af57569fhttps://doi.org/10.3390/eng7070328
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