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November 23, 2025The International Journal of Advanced Manufacturing TechnologyOpen Access

Multi-criteria selection of image acquisition technologies for automatic optical inspection in assembly lines

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Authors

MRMichele RonchiARAlberto RegattieriMGMauro Gamberi

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Overview

A novel decision-making method improves defect detection and quality control in assembly line automation, suggesting better sustainability practices.

Key Points

  • Efficient multi-criteria selection method enhances quality control in assembly lines, reducing defects.
  • The proposed methodology combines Analytic Hierarchy Process with Weighted Sum Model to evaluate technology choices.
  • Observational analysis validated through real-world automotive case studies highlights practical applicability.
  • Adoption of effective AOI systems may support sustainable manufacturing practices, improving production efficiency.

Cite This Study

Ronchi et al. (2025) studied this question.

synapsesocial.com/papers/6924e3ddc0ce034ddc34e7d1https://doi.org/10.1007/s00170-025-17021-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multi-criteria selection of image acquisition technologies for automatic optical inspection in assembly lines2025
  2. 2Multi-Criteria Visual Quality Control Algorithm for Selected Technological Processes Designed for Budget IIoT Edge Devices2025
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  4. 4Benchmarking AI-based visual inspection systems for aerospace quality control: A multi-vendor comparative evaluation2026
  5. 5Overview of Existing Multi-Criteria Decision-Making (MCDM) Methods Used in Industrial Environments2025 · 34 citations