Modular Construction: Determining Decision-Making Factors and Future Research Needs

被引:89
作者
Abdul Nabi, Mohamad [1 ]
El-adaway, Islam H. [2 ,3 ,4 ,5 ]
机构
[1] Missouri Univ Sci & Technol, Dept Civil Architectural & Environm Engn, Rolla, MO 65409 USA
[2] Missouri Univ Sci & Technol, Construct Engn & Management, Rolla, MO 65409 USA
[3] Missouri Univ Sci & Technol, Civil Engn, Rolla, MO 65409 USA
[4] Missouri Univ Sci & Technol, Missouri Consortium Construct Innovat, Dept Civil Architectural & Environm Engn, Rolla, MO 65409 USA
[5] Missouri Univ Sci & Technol, Dept Engn Management & Syst Engn, Rolla, MO 65409 USA
关键词
OFFSITE CONSTRUCTION; ON-SITE; PREFABRICATION; SYSTEM; SELECTION; BARRIERS; CRITERIA; OPTIMIZATION; UNCERTAINTY; SIMULATION;
D O I
10.1061/(ASCE)ME.1943-5479.0000859
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With a compound annual growth rate of 5.69%, the modular construction market is forecasted to increase to a market value of $154.8 million by the end of 2023. Traditional stick-built construction and modular construction differ in many aspects including design, engineering, collaboration requirements, logistics, and others. Available research efforts tried to study and model the complex modular construction processes. However, they seemed to fall short in investigating modular construction processes in a comprehensive and holistic manner. In effect, the currently used decision-making models and processes for modular construction do not necessarily reflect the diverse and multiple interconnected and associated factors. This paper develops a comprehensive list of decision factors as well as determines future research needs for modular construction. As such, the authors (1) conducted a systematic literature review and analysis of modular construction studies that were conducted between 2009 and 2019, (2) highlighted the broad factors affecting decision-making in modular construction projects, and (3) utilized social network analysis (SNA) to quantitatively identify the literature gaps and strengths and create a roadmap for the factors that need further investigation. This paper identified 50 decision factors affecting the various modular construction operations in the construction industry. Consequently, it was revealed that there are some understudied decision factors, including those related to legal and regulatory considerations, material and construction waste management, green practices, as well as commissioning and testing. Further, it was shown that there is an explicit absence of the decision models and frameworks that simultaneously incorporate all the identified decision factors. Accordingly, this study provides a substantiated foundation for comprehensive decision-making processes for modular construction. (c) 2020 American Society of Civil Engineers.
引用
收藏
页数:21
相关论文
共 118 条
  • [1] Abotaleb IS, 2019, COMPUTING IN CIVIL ENGINEERING 2019: VISUALIZATION, INFORMATION MODELING, AND SIMULATION, P522
  • [2] Managing Construction Projects through Dynamic Modeling: Reviewing the Existing Body of Knowledge and Deriving Future Research Directions
    Abotaleb, Ibrahim S.
    El-adaway, Islam H.
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2018, 34 (06)
  • [3] Aring
  • [4] Five moments in the history of industrialized building
    Agren, Robert
    Wing, Robert D.
    [J]. CONSTRUCTION MANAGEMENT AND ECONOMICS, 2014, 32 (1-2) : 7 - 15
  • [5] Alaka HA, 2017, INT J CONSTR MANAG, V17, P25, DOI 10.1080/15623599.2016.1166546
  • [6] Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID
    Altaf, Mohammed Sadiq
    Bouferguene, Ahmed
    Liu, Hexu
    Al-Hussein, Mohamed
    Yu, Haitao
    [J]. AUTOMATION IN CONSTRUCTION, 2018, 85 : 369 - 383
  • [7] Integrated management of on-site, coordination and off-site uncertainty: Theorizing risk analysis within a hybrid project setting
    Arashpour, Mehrdad
    Abbasi, Babak
    Arashpour, Mohammadreza
    Hosseini, M. Reza
    Yang, Rebecca
    [J]. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2017, 35 (04) : 647 - 655
  • [8] Off-site construction optimization: Sequencing multiple job classes with time constraints
    Arashpour, Mehrdad
    Wakefield, Ron
    Abbasi, Babak
    Lee, E. W. M.
    Minas, James
    [J]. AUTOMATION IN CONSTRUCTION, 2016, 71 : 262 - 270
  • [9] Analysis of interacting uncertainties in on-site and off-site activities: Implications for hybrid construction
    Arashpour, Mehrdad
    Wakefield, Ron
    Lee, E. W. M.
    Chan, Ricky
    Hosseini, M. Reza
    [J]. INTERNATIONAL JOURNAL OF PROJECT MANAGEMENT, 2016, 34 (07) : 1393 - 1402
  • [10] Optimization of process integration and multi-skilled resource utilization in off-site construction
    Arashpour, Mehrdad
    Wakefield, Ron
    Blismas, Nick
    Minas, James
    [J]. AUTOMATION IN CONSTRUCTION, 2015, 50 : 72 - 80