An enhanced model for the integrated production and transportation problem in a multiple vehicles environment.
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| Title: | An enhanced model for the integrated production and transportation problem in a multiple vehicles environment. |
|---|---|
| Authors: | Kang, He-Yau1, Pearn, W.2, Chung, I-Ping2, Lee, Amy3 amylee@chu.edu.tw |
| Source: | Soft Computing - A Fusion of Foundations, Methodologies & Applications. Apr2016, Vol. 20 Issue 4, p1415-1435. 21p. |
| Subjects: | Semiconductor manufacturing, Turnkey computer systems, Linear programming, Mixed integer linear programming, Genetic algorithms |
| Abstract: | Solving an integrated production and transportation problem (IPTP) is a very challenging task in semiconductor manufacturing with turnkey service. A wafer fabricator needs to coordinate with outsourcing factories in the processes including circuit probing testing, integrated circuit assembly, and final testing for buyers. The jobs are clustered by their product types, and they must be processed by groups of outsourcing factories in various stages in the manufacturing process. Furthermore, the job production cost depends on various product types and different outsourcing factories. Since the IPTP involves constraints on job clusters, job-cluster dependent production cost, factory setup cost, process capabilities, and transportation cost with multiple vehicles, it is very difficult to solve when the problem size becomes large. Therefore, heuristic tools may be necessary to solve the problem. In this paper, we first formulate the IPTP as a mixed integer linear programming problem to minimize the total production and transportation cost. An efficient genetic algorithm (GA) is proposed next to tackle the problem when it becomes too complicated. The objectives are to minimize total costs, where the costs include production cost and transportation cost, under the environment with backup capacities and multiple vehicles, and to determine an appropriate production and distribution plan. The results demonstrate that the proposed GA model is an effective and accurate tool. [ABSTRACT FROM AUTHOR] |
| Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 113736857 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An enhanced model for the integrated production and transportation problem in a multiple vehicles environment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kang%2C+He-Yau%22">Kang, He-Yau</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pearn%2C+W%2E%22">Pearn, W.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chung%2C+I-Ping%22">Chung, I-Ping</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Amy%22">Lee, Amy</searchLink><relatesTo>3</relatesTo><i> amylee@chu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Soft+Computing+-+A+Fusion+of+Foundations%2C+Methodologies+%26+Applications%22">Soft Computing - A Fusion of Foundations, Methodologies & Applications</searchLink>. Apr2016, Vol. 20 Issue 4, p1415-1435. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Semiconductor+manufacturing%22">Semiconductor manufacturing</searchLink><br /><searchLink fieldCode="DE" term="%22Turnkey+computer+systems%22">Turnkey computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+programming%22">Linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Solving an integrated production and transportation problem (IPTP) is a very challenging task in semiconductor manufacturing with turnkey service. A wafer fabricator needs to coordinate with outsourcing factories in the processes including circuit probing testing, integrated circuit assembly, and final testing for buyers. The jobs are clustered by their product types, and they must be processed by groups of outsourcing factories in various stages in the manufacturing process. Furthermore, the job production cost depends on various product types and different outsourcing factories. Since the IPTP involves constraints on job clusters, job-cluster dependent production cost, factory setup cost, process capabilities, and transportation cost with multiple vehicles, it is very difficult to solve when the problem size becomes large. Therefore, heuristic tools may be necessary to solve the problem. In this paper, we first formulate the IPTP as a mixed integer linear programming problem to minimize the total production and transportation cost. An efficient genetic algorithm (GA) is proposed next to tackle the problem when it becomes too complicated. The objectives are to minimize total costs, where the costs include production cost and transportation cost, under the environment with backup capacities and multiple vehicles, and to determine an appropriate production and distribution plan. The results demonstrate that the proposed GA model is an effective and accurate tool. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Soft Computing - A Fusion of Foundations, Methodologies & Applications 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/s00500-015-1595-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1415 Subjects: – SubjectFull: Semiconductor manufacturing Type: general – SubjectFull: Turnkey computer systems Type: general – SubjectFull: Linear programming Type: general – SubjectFull: Mixed integer linear programming Type: general – SubjectFull: Genetic algorithms Type: general Titles: – TitleFull: An enhanced model for the integrated production and transportation problem in a multiple vehicles environment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kang, He-Yau – PersonEntity: Name: NameFull: Pearn, W. – PersonEntity: Name: NameFull: Chung, I-Ping – PersonEntity: Name: NameFull: Lee, Amy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 14327643 Numbering: – Type: volume Value: 20 – Type: issue Value: 4 Titles: – TitleFull: Soft Computing - A Fusion of Foundations, Methodologies & Applications Type: main |
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