SCHEDULING THE PRODUCTION OF PREFABRICATION CONSTRUCTION SUPPLY CHAINS CONSIDERING VARIABLE DELIVERY TIMES.
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| Title: | SCHEDULING THE PRODUCTION OF PREFABRICATION CONSTRUCTION SUPPLY CHAINS CONSIDERING VARIABLE DELIVERY TIMES. |
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| Authors: | HO, Chung1, ZABINSKY, Zelda B.2, KIM, Yong-Woo3,4 yongkim@uw.edu |
| Source: | Journal of Civil Engineering & Management. 2026, Vol. 32 Issue 3, p415-432. 18p. |
| Subjects: | Production scheduling, Stochastic programming, Workshops (Facilities), Supply chains, Multi-objective optimization, Cost control, Industrialized building |
| Abstract: | The application of prefabrication and modularization in the construction industry has grown significantly recently. The efficiency of prefabrication supply chains yields substantial advantages for construction projects. A challenge is the variability in delivery times, which negatively impacts the economy and reliability of prefabrication supply chains. Most construction prefabrication suppliers have difficulty adjusting their schedules in response to delivery time changes in a timely manner. Despite this critical challenge, limited research has addressed proactive and robust production scheduling to mitigate these uncertainties. This study investigates a method for proactive and robust production scheduling for construction prefabrication suppliers, particularly those with multiple fabrication shops, responding to changes in delivery times. This paper introduces a multi-objective, two-stage stochastic programming model that facilitates the production planning with multiple fabrication shops, considering variable delivery times. Computational results from an experimental study demonstrate that the proposed optimization model achieves a 14.6% cost reduction compared to the traditional EDD method. Computational results also show that the expected cost of the stochastic programming model achieves a cost reduction of 0.23% compared to a deterministic model. These findings suggest the model's capability to generate robust and flexible schedules that effectively balance cost minimization with time reduction. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193736284 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: SCHEDULING THE PRODUCTION OF PREFABRICATION CONSTRUCTION SUPPLY CHAINS CONSIDERING VARIABLE DELIVERY TIMES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22HO%2C+Chung%22">HO, Chung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ZABINSKY%2C+Zelda+B%2E%22">ZABINSKY, Zelda B.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22KIM%2C+Yong-Woo%22">KIM, Yong-Woo</searchLink><relatesTo>3,4</relatesTo><i> yongkim@uw.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Civil+Engineering+%26+Management%22">Journal of Civil Engineering & Management</searchLink>. 2026, Vol. 32 Issue 3, p415-432. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Production+scheduling%22">Production scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Workshops+%28Facilities%29%22">Workshops (Facilities)</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+control%22">Cost control</searchLink><br /><searchLink fieldCode="DE" term="%22Industrialized+building%22">Industrialized building</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The application of prefabrication and modularization in the construction industry has grown significantly recently. The efficiency of prefabrication supply chains yields substantial advantages for construction projects. A challenge is the variability in delivery times, which negatively impacts the economy and reliability of prefabrication supply chains. Most construction prefabrication suppliers have difficulty adjusting their schedules in response to delivery time changes in a timely manner. Despite this critical challenge, limited research has addressed proactive and robust production scheduling to mitigate these uncertainties. This study investigates a method for proactive and robust production scheduling for construction prefabrication suppliers, particularly those with multiple fabrication shops, responding to changes in delivery times. This paper introduces a multi-objective, two-stage stochastic programming model that facilitates the production planning with multiple fabrication shops, considering variable delivery times. Computational results from an experimental study demonstrate that the proposed optimization model achieves a 14.6% cost reduction compared to the traditional EDD method. Computational results also show that the expected cost of the stochastic programming model achieves a cost reduction of 0.23% compared to a deterministic model. These findings suggest the model's capability to generate robust and flexible schedules that effectively balance cost minimization with time reduction. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Civil Engineering & Management is the property of Vilnius Gediminas Technical University 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: 10.3846/jcem.2026.26156 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 415 Subjects: – SubjectFull: Production scheduling Type: general – SubjectFull: Stochastic programming Type: general – SubjectFull: Workshops (Facilities) Type: general – SubjectFull: Supply chains Type: general – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Cost control Type: general – SubjectFull: Industrialized building Type: general Titles: – TitleFull: SCHEDULING THE PRODUCTION OF PREFABRICATION CONSTRUCTION SUPPLY CHAINS CONSIDERING VARIABLE DELIVERY TIMES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: HO, Chung – PersonEntity: Name: NameFull: ZABINSKY, Zelda B. – PersonEntity: Name: NameFull: KIM, Yong-Woo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13923730 Numbering: – Type: volume Value: 32 – Type: issue Value: 3 Titles: – TitleFull: Journal of Civil Engineering & Management Type: main |
| ResultId | 1 |
