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Serial- and hierarchical-batch scheduling: a systematic review and future research directions.

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Title: Serial- and hierarchical-batch scheduling: a systematic review and future research directions.
Authors: Wahl, Stefan1 (AUTHOR), Gahm, Christian1 (AUTHOR) christian.gahm@wiwi.uni-augsburg.de, Tuma, Axel1 (AUTHOR)
Source: International Journal of Production Research. Jun2025, Vol. 63 Issue 11, p4238-4268. 31p.
Subjects: Evidence gaps, Laser beam cutting, Batch processing, Industrial lasers, Three-dimensional printing
Abstract: As laser cutting and industrial 3D printing become increasingly important in many companies, so do the scheduling problems associated with them: serial-batch (sb) and hierarchical-batch (hb) scheduling. In sb-scheduling, the batch processing time is the sum of the processing times of the jobs in a batch. In hb-scheduling, the batch processing time results from sublevel decisions, such as 3D nesting. Both problems are challenging because of the interdependencies between the main decisions: grouping of jobs into batches and scheduling the batches. To that, we present a review and analysis of the literature on sb- and hb-scheduling using two classification schemes: The first is an extended Scheduling Problem Classification Scheme to specify batch scheduling problems. The second is a new Scheduling Article Classification Scheme developed to describe aspects like theoretical insights and solution methods. The schemes simplify the identification of research gaps and of relevant research (for academics and practitioners). In the literature synthesis process, 425 articles of all types of batching were reviewed. Due to the increasing importance of sb- and hb-scheduling, we focus our analysis on 119 articles which address these. As a result, we provide insights into the current state of research and highlight several topics for future research. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research 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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  Data: Serial- and hierarchical-batch scheduling: a systematic review and future research directions.
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  Data: <searchLink fieldCode="AR" term="%22Wahl%2C+Stefan%22">Wahl, Stefan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gahm%2C+Christian%22">Gahm, Christian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> christian.gahm@wiwi.uni-augsburg.de</i><br /><searchLink fieldCode="AR" term="%22Tuma%2C+Axel%22">Tuma, Axel</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun2025, Vol. 63 Issue 11, p4238-4268. 31p.
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  Data: <searchLink fieldCode="DE" term="%22Evidence+gaps%22">Evidence gaps</searchLink><br /><searchLink fieldCode="DE" term="%22Laser+beam+cutting%22">Laser beam cutting</searchLink><br /><searchLink fieldCode="DE" term="%22Batch+processing%22">Batch processing</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+lasers%22">Industrial lasers</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+printing%22">Three-dimensional printing</searchLink>
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  Data: As laser cutting and industrial 3D printing become increasingly important in many companies, so do the scheduling problems associated with them: serial-batch (sb) and hierarchical-batch (hb) scheduling. In sb-scheduling, the batch processing time is the sum of the processing times of the jobs in a batch. In hb-scheduling, the batch processing time results from sublevel decisions, such as 3D nesting. Both problems are challenging because of the interdependencies between the main decisions: grouping of jobs into batches and scheduling the batches. To that, we present a review and analysis of the literature on sb- and hb-scheduling using two classification schemes: The first is an extended Scheduling Problem Classification Scheme to specify batch scheduling problems. The second is a new Scheduling Article Classification Scheme developed to describe aspects like theoretical insights and solution methods. The schemes simplify the identification of research gaps and of relevant research (for academics and practitioners). In the literature synthesis process, 425 articles of all types of batching were reviewed. Due to the increasing importance of sb- and hb-scheduling, we focus our analysis on 119 articles which address these. As a result, we provide insights into the current state of research and highlight several topics for future research. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research 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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        Value: 10.1080/00207543.2024.2432473
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 4238
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      – SubjectFull: Evidence gaps
        Type: general
      – SubjectFull: Laser beam cutting
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      – SubjectFull: Batch processing
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      – SubjectFull: Industrial lasers
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      – SubjectFull: Three-dimensional printing
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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