A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction

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 compon...

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Main Authors: Tongguang Si, Hong Xian Li, Zhen Lei, Hexu Liu, SangHyeok Han
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/9953732
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spelling doaj-dc1ad27115ad4b6da697fc8551779d352021-06-28T01:51:26ZengHindawi LimitedAdvances in Civil Engineering1687-80942021-01-01202110.1155/2021/9953732A Dynamic Just-in-Time Component Delivery Framework for Off-Site ConstructionTongguang Si0Hong Xian Li1Zhen Lei2Hexu Liu3SangHyeok Han4School of Management EngineeringSchool of Architecture & Built EnvironmentDepartment of Civil EngineeringDepartment of Civil and Construction EngineeringDepartment of Building, Civil, and Environmental EngineeringOff-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.http://dx.doi.org/10.1155/2021/9953732
collection DOAJ
language English
format Article
sources DOAJ
author Tongguang Si
Hong Xian Li
Zhen Lei
Hexu Liu
SangHyeok Han
spellingShingle Tongguang Si
Hong Xian Li
Zhen Lei
Hexu Liu
SangHyeok Han
A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
Advances in Civil Engineering
author_facet Tongguang Si
Hong Xian Li
Zhen Lei
Hexu Liu
SangHyeok Han
author_sort Tongguang Si
title A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
title_short A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
title_full A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
title_fullStr A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
title_full_unstemmed A Dynamic Just-in-Time Component Delivery Framework for Off-Site Construction
title_sort dynamic just-in-time component delivery framework for off-site construction
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8094
publishDate 2021-01-01
description 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.
url http://dx.doi.org/10.1155/2021/9953732
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