The optimal configuration for various placement machines in PCB assembly lines.
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| Title: | The optimal configuration for various placement machines in PCB assembly lines. |
|---|---|
| Authors: | Chen, Tzu-Li1 (AUTHOR), Chen, James C.2 (AUTHOR), Chen, Yin-Yann3 (AUTHOR) yyc@nfu.edu.tw, Chang, Yu-Jie2 (AUTHOR) |
| Source: | Annals of Operations Research. Jun2025, Vol. 349 Issue 1, p365-396. 32p. |
| Subjects: | Surface mount technology, Market volatility, Assembly line methods, Mathematical programming, Combinatorial optimization, Printed circuits industry |
| Abstract: | Surface Mount Technology (SMT) has become widely adopted in the electronic assembly industry for printed circuit board (PCB) processes. In most instances, the placement machine is a bottleneck within the assembly line. Consequently, it is crucial to optimize the utilization of these machines to enhance the PCB assembly system, particularly in ultra-high-mix, low-volume production environments. In the past, the excessively high cost of equipment configuration led to less consideration of the combinatorial optimization problem involving different placement machines, which included factors such as chip size, height, and accuracy. As a result, machines were underutilized, as previous combination modes could not efficiently fulfill placement requirements when demands or designs changed. Recently, the shift towards modular design in placement machines has made the configuration process less time-consuming compared to traditional methods. This study aims to address multi-level capacity planning, providing comprehensive and suitable machine combinations that swiftly adapt to the rapidly changing, unpredictable, and volatile market demands of today. The proposed matheuristic approach combines the mathematical programming model and the heuristic algorithm to effectively solve the large-scale machine combination problem. This research significantly improves PCB assembly lines by minimizing idle waste and bolstering the competitiveness of the electronic assembly industry. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of Operations Research is the property of Springer Nature 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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185470211 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The optimal configuration for various placement machines in PCB assembly lines. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Tzu-Li%22">Chen, Tzu-Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+James+C%2E%22">Chen, James C.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yin-Yann%22">Chen, Yin-Yann</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> yyc@nfu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Chang%2C+Yu-Jie%22">Chang, Yu-Jie</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Jun2025, Vol. 349 Issue 1, p365-396. 32p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Surface+mount+technology%22">Surface mount technology</searchLink><br /><searchLink fieldCode="DE" term="%22Market+volatility%22">Market volatility</searchLink><br /><searchLink fieldCode="DE" term="%22Assembly+line+methods%22">Assembly line methods</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Combinatorial+optimization%22">Combinatorial optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Printed+circuits+industry%22">Printed circuits industry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Surface Mount Technology (SMT) has become widely adopted in the electronic assembly industry for printed circuit board (PCB) processes. In most instances, the placement machine is a bottleneck within the assembly line. Consequently, it is crucial to optimize the utilization of these machines to enhance the PCB assembly system, particularly in ultra-high-mix, low-volume production environments. In the past, the excessively high cost of equipment configuration led to less consideration of the combinatorial optimization problem involving different placement machines, which included factors such as chip size, height, and accuracy. As a result, machines were underutilized, as previous combination modes could not efficiently fulfill placement requirements when demands or designs changed. Recently, the shift towards modular design in placement machines has made the configuration process less time-consuming compared to traditional methods. This study aims to address multi-level capacity planning, providing comprehensive and suitable machine combinations that swiftly adapt to the rapidly changing, unpredictable, and volatile market demands of today. The proposed matheuristic approach combines the mathematical programming model and the heuristic algorithm to effectively solve the large-scale machine combination problem. This research significantly improves PCB assembly lines by minimizing idle waste and bolstering the competitiveness of the electronic assembly industry. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature 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: 10.1007/s10479-024-05828-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 365 Subjects: – SubjectFull: Surface mount technology Type: general – SubjectFull: Market volatility Type: general – SubjectFull: Assembly line methods Type: general – SubjectFull: Mathematical programming Type: general – SubjectFull: Combinatorial optimization Type: general – SubjectFull: Printed circuits industry Type: general Titles: – TitleFull: The optimal configuration for various placement machines in PCB assembly lines. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Tzu-Li – PersonEntity: Name: NameFull: Chen, James C. – PersonEntity: Name: NameFull: Chen, Yin-Yann – PersonEntity: Name: NameFull: Chang, Yu-Jie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02545330 Numbering: – Type: volume Value: 349 – Type: issue Value: 1 Titles: – TitleFull: Annals of Operations Research Type: main |
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