Revisiting the development trajectory of parallel machine scheduling

Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Xin-Yi

doi:10.1016/j.cor.2024.106709

Computers & Operations Research

2024

DOI: 10.1016/j.cor.2024.106709

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Revisiting the development trajectory of parallel machine scheduling

Kuo-Ching Ying,

Pourya Pourhejazy,

Xin-Yi Huang

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Cited by 3 publications

References 108 publications

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50 years of Computers & Operations Research: A bibliometric analysis

Guan,

Laporte,

Merigó

et al. 2025

Computers & Operations Research

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50 years of Computers & Operations Research: A bibliometric analysis

Guan,

Laporte,

Merigó

et al. 2025

Computers & Operations Research

View full text Add to dashboard Cite

Exploring the evolution and research directions of virtual reality in marketing: an information systems perspective

Lu,

Tran,

Ngo

et al. 2024

OIR

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PurposeGiven the growing use of virtual reality (VR) technology in marketing, our research focuses on the development trajectory of research in the marketing field from 2012 to 2022 to identify essential phases and sub-trends within this topic.Design/methodology/approachThis study employs a main path analysis (MPA) methodology to analyze academic articles related to VR in marketing from the Web of Science database.FindingsThe research on VR in marketing has experienced significant growth over the past 10 years and is projected to continue thriving in the future. During the past decade, research in this field has transitioned from exploring VR affordances in marketing to realizing the potential of VR in marketing. From the information systems perspective, the three primary research trends that have garnered the most attention from researchers are VR technology as an artifact, marketers’ motivational approach and consumers’ motivational approach. With the continual advancement of VR technology, the research trend of Metaverse marketing will gradually displace VR in marketing.Originality/valueTo the best of our knowledge, this is the first research using MPA to explore the development trajectory of VR in marketing and provide a comprehensive picture of it under the Affordance-Actualization theory.

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Application of LightGBM Algorithm in Production Scheduling Optimization on Non-Identical Parallel Machines

Ait Ben Hamou,

Jarir,

Elfirdoussi

2024

Eng. Technol. Appl. Sci. Res.

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Production scheduling plays a decisive role in supply chain management, directly influencing the operational efficiency and competitiveness of companies. This study explores the effectiveness of the LightGBM algorithm for production scheduling on non-identical parallel machines, comparing it to algorithms such as logistic regression, KNN, decision tree, and XGBoost. LightGBM was chosen for its speed of execution and its ability to handle large amounts of data. The results show that LightGBM outperforms the other models in terms of RMSE, MAE, explained variance score, and R² score for regression tasks, as well as in classification accuracy for certain features. Its superiority is attributed to its ability to efficiently handle data complexity while reducing computational complexity through its leaf tree growth technique. This study highlights LightGBM's potential for improving the efficiency of supply chain management systems and the challenges associated with computational scalability for large datasets. The results suggest that LightGBM is a robust and effective solution to optimize production scheduling, paving the way for future research in this field.

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Revisiting the development trajectory of parallel machine scheduling

Cited by 3 publications

References 108 publications

50 years of Computers & Operations Research: A bibliometric analysis

50 years of Computers & Operations Research: A bibliometric analysis

Exploring the evolution and research directions of virtual reality in marketing: an information systems perspective

Application of LightGBM Algorithm in Production Scheduling Optimization on Non-Identical Parallel Machines

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