Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering

Ji, Wenying; AbouRizk, Simaan; Zaı̈ane, Osmar R.; Li, Yitong

doi:10.1061/(asce)co.1943-7862.0001520

Cited by 21 publications

(9 citation statements)

References 15 publications

(22 reference statements)

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“…Many researchers have described complexity as a critical topic in the area of project management research (Gidado, 1996;Hass, 2008;Owens, Ahn, Shane, Strong, & Gransburg, 2011;Bosch-Rekveldt, 2011;Lehtiranta, 2011;Puddicombe, 2012;Ahern, Leavy, & Byrne, 2013;Lu et al, 2015;Abdou et al, 2016;Kiridena & Sense, 2016;Ji, AbouRizk, Zaiane, & Li, 2018). The meaning of the word "complexity" was ambiguous and lacked a standard definition for many years.…”

Section: Literature Reviewmentioning

confidence: 99%

Identification and Quantification of Project Complexity From Perspective of Primary Stakeholders in Us Construction Projects

Kermanshachi

Safapour

2019

Journal of Civil Engineering and Management

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Construction experts believe that complexity could adversely affect construction projects’ performance. Several studies have been focused on identifying leading complexity indicators; however, the complexity indicators from the perspective of primary stakeholders (owners, contractors, and consultants) have been rarely studied. Therefore, the aim of this study is to utilize the systematic Delphi method to identify, rank and weight the complexity indicators based on the primary stakeholders’ perspectives associated with US construction projects. Additionally, the shared entity-based complexity indicators (ECIs), as well as the weighting of entity-based complexity categories were determined and analyzed. Therefore, 101 potential ECIs were identified through a comprehensive literature review. Then, thirteen senior subject matter experts (SMEs), and three academic advisors were selected and invited to participate in a workshop to determine significant ECIs and then rank and weight them. The results reveal that the ECIs associated with complexity categories “scope definition” and “project resources” received the highest aggregated complexity weights in the aspect of the primary stakeholders. Although this study has been conducted based on US construction projects, the results would provide helpful guidance for international construction projects. Moreover, this study would assist the primary stakeholders in allocating resources properly in order to manage project complexity worldwide.

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Section: Literature Reviewmentioning

confidence: 99%

Identification and Quantification of Project Complexity From Perspective of Primary Stakeholders in Us Construction Projects

Kermanshachi

Safapour

2019

Journal of Civil Engineering and Management

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“…However, research on the complexity of PC components in particular, whether in the context of China or elsewhere, has been inadequate, and the concept of PC component complexity has not yet been fully defined. Ji et al [12] defined the complexity of prefabricated components in general based on product design information as "the level of constructing difficulty based on the product's design and on the knowledge and ability an operator required to construct a product given its specific design information." In this context, prefabricated construction differs from traditional construction in that structures are built from components that are prefabricated in a factory and then transported to the construction site for assembly.…”

Section: Concept Of Complexity Of Pc Componentsmentioning

confidence: 99%

“…Research related to product/production complexity in the construction industry mainly, though, has typically involved project complexity [10,11], whereas there have been relatively few studies looking at the complexity of prefabricated components such as PC components. Although Ji et al [12] proposed a hierarchical quantification method to measure common prefabricated component complexity, there is a lack of detailed analysis of the complexity for PC components. Specifically, there has been no sufficient work for systematically quantitative analysis on the complexity of PC components and its impacts during PC component design and production.…”

Section: Introductionmentioning

confidence: 99%

Study on Complexity of Precast Concrete Components and Its Influence on Production Efficiency

Liu

Tong

Li³

et al. 2022

Advances in Civil Engineering

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Prefabricated construction has been well recognized for its benefits, including accelerated construction cycle time and improved sustainability. However, low efficiency in the production of precast concrete components due to component and production complexity has not been sufficiently addressed in previous research. This paper explores the complexity of precast concrete components by establishing complexity indices and evaluating their influence on production efficiency. First, referring to research on product complexity in the machinery manufacturing industry, we define the complexity of precast concrete components in the construction industry. Then, based on a literature review, field studies, and expert interviews, we systematically construct the complexity indices of precast concrete components using the three-stage coding method, Grounded Theory. The overall complexity index system for precast concrete components constructed comprises 16 constituent complexity indices in three dimensions (i.e., structural complexity of the component, production complexity, and management complexity). The relationship between complexity indices and production efficiency is then explored using structural equation model analysis based on the data collected through a questionnaire survey. The results reveal that complexity indices have a significant impact on the production efficiency for precast concrete components, where the number of embedded parts, waiting time in production, operating proficiency of workers, and degree of automation of the production line are found to be the most influential complexity indices. This study provides a foundation upon which production managers improve production efficiency for precast concrete components based on an analysis of their product complexity.

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“…is means that the complexity indices of precast components are relatively new and unknown to existing research. Ji et al [58] measured the complexity of prefabricated construction products via quality performance-based indicators, but they did not clarify what these indicators are. Although there is no lack of research on product complexity in the manufacturing industry [59][60][61], product attributes vary greatly between the construction industry and the manufacturing industry.…”

Section: Submodel Of Improved Production Planningmentioning

confidence: 99%

Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation

Yuan

Qiao

Guo

et al. 2020

Advances in Civil Engineering

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Component factories are experiencing the problems associated with lean production, especially the accuracy of production time prediction and the unnecessary waste in terms of time and resource utilization. In order to solve these problems, a discrete event simulation- (DES-) based lean planning and optimization method for precast component production is proposed by integrating the complexity assessment (CS), discrete event simulation (DES), and lean management (LM). The method includes three submodels: improved production planning, DES, and lean analysis and optimization. In the submodel of improved production planning, a complexity evaluation index system for precast components is established through investigating five component factories, consulting seven domain experts and analysing relevant literature. In the submodel of DES, the DES technique is adopted to simulate and analyse the production activities of precast components. The submodel of lean analysis and optimization provides multidimensional analysis, comparative analysis, and suggestions. Finally, a detailed production case is selected to simulate and test the proposed method. The important findings are as follows: (1) this method can minimize the difference between the processing time of each workstation to avoid bottleneck stations as much as possible; (2) this method can capture the uncertainty during precast component production, and the most likely production time calculated by the method is 12.05 hours instead of the 11.50 hours originally estimated by the component factory; (3) this method can identify some unnecessary waste in the production process of precast components, including less than 50% utilization of workstations and unnecessary equipment purchases; (4) this method also provides some suggestions regarding production optimization. Due to the particularity of precast component production, it further expands the boundary of lean production methodology from the perspective of the construction industry rather than the manufacturing industry. The proposed method assists component factories in planning and optimizing the precast component production when they make detailed production plans.

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Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering

Cited by 21 publications

References 15 publications

Identification and Quantification of Project Complexity From Perspective of Primary Stakeholders in Us Construction Projects

Identification and Quantification of Project Complexity From Perspective of Primary Stakeholders in Us Construction Projects

Study on Complexity of Precast Concrete Components and Its Influence on Production Efficiency

Research on Lean Planning and Optimization for Precast Component Production Based on Discrete Event Simulation

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