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Volume 10
Issue 2
10.3390/data10020016
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Article

Data-Driven Scheduling Optimization for SMT Lines Using SMD Reel Commonality

by
Jorge Quijano
1,*,
Nohemi Torres Cruz
1,
Leslie Quijano-Quian
2,
Eduardo Rafael Poblano-Ojinaga
3 and
Salvador Anacleto Noriega Morales
1
1
Institute of Engineering and Technology, Department of Industrial and Manufacturing Engineering, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez 32310, Mexico
2
College of Science, University of Texas El Paso, El Paso, TX 79968, USA
3
Tecnológico Nacional de México, Instituto Tecnológico de Ciudad Juárez, Ciudad Juárez 32500, Mexico
*
Author to whom correspondence should be addressed.
Data 2025, 10(2), 16; https://doi.org/10.3390/data10020016
Submission received: 27 November 2024 / Revised: 23 January 2025 / Accepted: 27 January 2025 / Published: 29 January 2025
(This article belongs to the Special Issue Cutting-Edge Datasets and Algorithms for Enhancing Industrial Processes and Supply Chain Optimization)
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Abstract

Optimizing production efficiency in Surface-Mount Technology (SMT) manufacturing is a critical challenge, particularly in high-mix environments where frequent product changeovers can lead to significant downtime. This study presents a scheduling algorithm that minimizes changeover times on SMT lines by leveraging the commonality of Surface-Mount Device (SMD) reel part numbers across product Bills of Materials (BOMs). The algorithm’s capabilities were demonstrated through both simulated datasets and practical validation trials, providing a comprehensive evaluation framework. In the practical implementation, the algorithm successfully aligned predicted and measured changeover times, highlighting its applicability and accuracy in operational settings. The proposed approach integrates heuristic and optimization techniques to identify scheduling strategies that not only minimize reel changes but also support production scalability and operational flexibility. This framework offers a robust solution for optimizing SMT workflows, enhancing productivity, and reducing resource inefficiencies in both greenfield projects and established manufacturing environments.
Keywords: SMT; scheduling optimization; SMD reels; changeover time; production efficiency SMT; scheduling optimization; SMD reels; changeover time; production efficiency

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MDPI and ACS Style

Quijano, J.; Torres Cruz, N.; Quijano-Quian, L.; Poblano-Ojinaga, E.R.; Noriega Morales, S.A. Data-Driven Scheduling Optimization for SMT Lines Using SMD Reel Commonality. Data 2025, 10, 16. https://doi.org/10.3390/data10020016

AMA Style

Quijano J, Torres Cruz N, Quijano-Quian L, Poblano-Ojinaga ER, Noriega Morales SA. Data-Driven Scheduling Optimization for SMT Lines Using SMD Reel Commonality. Data. 2025; 10(2):16. https://doi.org/10.3390/data10020016

Chicago/Turabian Style

Quijano, Jorge, Nohemi Torres Cruz, Leslie Quijano-Quian, Eduardo Rafael Poblano-Ojinaga, and Salvador Anacleto Noriega Morales. 2025. "Data-Driven Scheduling Optimization for SMT Lines Using SMD Reel Commonality" Data 10, no. 2: 16. https://doi.org/10.3390/data10020016

APA Style

Quijano, J., Torres Cruz, N., Quijano-Quian, L., Poblano-Ojinaga, E. R., & Noriega Morales, S. A. (2025). Data-Driven Scheduling Optimization for SMT Lines Using SMD Reel Commonality. Data, 10(2), 16. https://doi.org/10.3390/data10020016

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