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A dynamic just-in-time component delivery framework for off-site construction

Si, Tongguang, Li, Hong Xian, Lei, Zhen, Liu, Hexu and Han, SangHyeok 2021, A dynamic just-in-time component delivery framework for off-site construction, Advances in civil engineering, vol. 2021, pp. 1-19, doi: 10.1155/2021/9953732.

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Title A dynamic just-in-time component delivery framework for off-site construction
Author(s) Si, Tongguang
Li, Hong XianORCID iD for Li, Hong Xian orcid.org/0000-0002-5027-2915
Lei, Zhen
Liu, Hexu
Han, SangHyeok
Journal name Advances in civil engineering
Volume number 2021
Article ID 9953732
Start page 1
End page 19
Total pages 19
Publisher Hindawi Limited
Place of publication New York, N.Y.
Publication date 2021
ISSN 1687-8086
1687-8094
Summary Off-site construction entails various advantages compared with the traditional construction method; however, the fragmentation of the prefabrication and assembly results in a complex supply chain. Both general contractors and factories often encounter production deviation, making the original component delivery plan nonoptimal. Traditionally, both parties tend to rely on internal resources or third-party resources to manage schedule changes, paying little attention to the optimisation of the component delivery process. The static compensation mechanisms reported in existing literature require factories to manage demand fluctuations but fail to encourage general contractors to control schedule deviations. Therefore, a dynamic compensation mechanism is proposed to achieve just-in-time component delivery, with which a factory shares possible changes for each component’s delivery date to its clients on an inverse Kanban system. First, unfavourable changes for the factory schedule are allocated with surcharges, and the general contractor should compensate the factory if it accepts the date changes; secondly, schedule changes that are beneficial for the factory are assigned as incentives, and the general contractor receives the factory’s incentive upon agreeing to the changes. Based on these two scenarios, genetic algorithm-based optimisation models are developed to achieve optimal delivery planning solutions. General contractors can obtain an optimal component delivery date to reduce the additional cost when they have changed the assembly schedule. General contractors can also optimise their component delivery schedule to trade their duration flexibility for incentives offered by factories. The models can help both parties to reduce component delivery waste when either side has the motivation to change the original component delivery schedules.
Language eng
DOI 10.1155/2021/9953732
Indigenous content off
Field of Research 0905 Civil Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30152925

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Created: Mon, 28 Jun 2021, 14:30:33 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.