Multi-agent simulation for managing design changes in prefabricated construction projects

被引:28
|
作者
Du, Juan [1 ,2 ]
Jing, Hengqing [3 ]
Castro-Lacouture, Daniel [2 ]
Sugumaran, Vijayan [4 ]
机构
[1] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai, Peoples R China
[2] Georgia Inst Technol, Coll Design, Sch Bldg Construct, Atlanta, GA 30332 USA
[3] Shanghai Univ, Shanghai, Peoples R China
[4] Oakland Univ, Sch Business Adm, Dept Decis & Informat Sci, Rochester, MI 48063 USA
基金
中国国家自然科学基金;
关键词
Risk management; Simulation; Decision support systems; NEGOTIATION FRAMEWORK; COLLABORATIVE DESIGN; HONG-KONG; ON-SITE; AGENT; RISK; NETWORK; IMPACT; PERFORMANCE; MANAGEMENT;
D O I
10.1108/ECAM-11-2018-0524
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Purpose The purpose of this paper is to develop a multi-agent-based model for quantitatively measuring how the design change management strategies improve project performance. Design/methodology/approach Based on questionnaires and interviews, this paper investigates the coordination mechanism of risks due to design changes in prefabricated construction (PC) projects. Combined with all the variables related with design change risks, a multi-agent-based simulation model is proposed to evaluate the design change management effect. Findings The coordination mechanism between design change factors, design change events, risk consequence and management strategy in PC projects is described and then the simulation-based design change management mechanism in PC projects is used to assess the effect of management strategies under dynamic scenarios. Originality/value PC projects have rapidly increased in recent years due to the advantages of fast construction, high quality and labor savings. Different from traditional on-site construction, the impact and risk from design changes are likely to be greater due to the prefabricated project being multi-stage, highly interactive and complex. The simulations presented in this paper make it possible to test different design change management strategies in order to study their effectiveness and support managerial decision making.
引用
收藏
页码:270 / 295
页数:26
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