Autoclave molding scheduling in aerospace composite materials production using an extended whale optimization algorithm.

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Title: Autoclave molding scheduling in aerospace composite materials production using an extended whale optimization algorithm.
Authors: Xu, Huifen1 (AUTHOR), Xie, Naiming1 (AUTHOR) xienaiming@nuaa.edu.cn
Source: Engineering Optimization. May2026, Vol. 58 Issue 5, p1548-1572. 25p.
Subjects: Scheduling, Autoclaves, Metaheuristic algorithms, Simulated annealing, Fiber-reinforced plastics, Batch processing, Bin packing problem
Abstract: Bottlenecks in autoclave molding significantly hinder an enterprise's delivery capacity, resulting in an imbalance between production and demand. This article aims to provide a scheduling solution for autoclave molding to enhance delivery capabilities. A single batch processing machine scheduling model with two-dimensional bin packing constraints is proposed to capture the spatial constraints of jobs within the autoclave. The model also incorporates job release dates and time windows, ensuring that each job is processed within its specified timeframe to meet strict temporal constraints. To solve this model, an extended whale optimization algorithm with a best fit heuristic-based initialization method is developed, incorporating Lévy flight and a simulated annealing mechanism to enhance global exploration and local exploitation. The proposed algorithm is tested on various problem instances and a real-world case, confirming the effectiveness of its mechanisms and demonstrating significant outperformance compared to other baseline algorithms in solving the proposed model. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Optimization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 193123868
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  Data: Autoclave molding scheduling in aerospace composite materials production using an extended whale optimization algorithm.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Huifen%22">Xu, Huifen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xie%2C+Naiming%22">Xie, Naiming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xienaiming@nuaa.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Optimization%22">Engineering Optimization</searchLink>. May2026, Vol. 58 Issue 5, p1548-1572. 25p.
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  Data: <searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Autoclaves%22">Autoclaves</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+annealing%22">Simulated annealing</searchLink><br /><searchLink fieldCode="DE" term="%22Fiber-reinforced+plastics%22">Fiber-reinforced plastics</searchLink><br /><searchLink fieldCode="DE" term="%22Batch+processing%22">Batch processing</searchLink><br /><searchLink fieldCode="DE" term="%22Bin+packing+problem%22">Bin packing problem</searchLink>
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  Label: Abstract
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  Data: Bottlenecks in autoclave molding significantly hinder an enterprise's delivery capacity, resulting in an imbalance between production and demand. This article aims to provide a scheduling solution for autoclave molding to enhance delivery capabilities. A single batch processing machine scheduling model with two-dimensional bin packing constraints is proposed to capture the spatial constraints of jobs within the autoclave. The model also incorporates job release dates and time windows, ensuring that each job is processed within its specified timeframe to meet strict temporal constraints. To solve this model, an extended whale optimization algorithm with a best fit heuristic-based initialization method is developed, incorporating Lévy flight and a simulated annealing mechanism to enhance global exploration and local exploitation. The proposed algorithm is tested on various problem instances and a real-world case, confirming the effectiveness of its mechanisms and demonstrating significant outperformance compared to other baseline algorithms in solving the proposed model. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Optimization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/0305215X.2025.2517722
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 1548
    Subjects:
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Autoclaves
        Type: general
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Simulated annealing
        Type: general
      – SubjectFull: Fiber-reinforced plastics
        Type: general
      – SubjectFull: Batch processing
        Type: general
      – SubjectFull: Bin packing problem
        Type: general
    Titles:
      – TitleFull: Autoclave molding scheduling in aerospace composite materials production using an extended whale optimization algorithm.
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            NameFull: Xu, Huifen
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            NameFull: Xie, Naiming
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 0305215X
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              Value: 58
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              Value: 5
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            – TitleFull: Engineering Optimization
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