Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 19 results ...

Chen, L, Manley, K, Lewis, J, Helfer, F and Widen, K (2018) Procurement and Governance Choices for Collaborative Infrastructure Projects. Journal of Construction Engineering and Management, 144(08).

Cho, C, Kim, K, Park, J and Cho, Y K (2018) Data-Driven Monitoring System for Preventing the Collapse of Scaffolding Structures. Journal of Construction Engineering and Management, 144(08).

Faghih, S A M and Kashani, H (2018) Forecasting Construction Material Prices Using Vector Error Correction Model. Journal of Construction Engineering and Management, 144(08).

Hosseini, M R, Maghrebi, M, Akbarnezhad, A, Martek, I and Arashpour, M (2018) Analysis of Citation Networks in Building Information Modeling Research. Journal of Construction Engineering and Management, 144(08).

Ji, W and AbouRizk, S M (2018) Data-Driven Simulation Model for Quality-Induced Rework Cost Estimation and Control Using Absorbing Markov Chains. Journal of Construction Engineering and Management, 144(08).

Ji, W, AbouRizk, S M, Zaïane, O R and Li, Y (2018) Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering. Journal of Construction Engineering and Management, 144(08).

  • Type: Journal Article
  • Keywords: Prefabrication; Product complexity; Uncertain data; Clustering; Data mining; Hellinger distance;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001520
  • Abstract:
    This paper proposes an uncertain data clustering approach to quantitatively analyze the complexity of prefabricated construction components through the integration of quality performance-based measures with associated engineering design information. The proposed model is constructed in three steps, which (1) measure prefabricated construction product complexity (hereafter referred to as product complexity) by introducing a Bayesian-based nonconforming quality performance indicator, (2) score each type of product complexity by developing a Hellinger distance-based distribution similarity measurement, and (3) cluster products into homogeneous complexity groups by using the agglomerative hierarchical clustering technique. An illustrative example is provided to demonstrate the proposed approach, and a case study of an industrial company in Edmonton, Canada, is conducted to validate the feasibility and applicability of the proposed model. This research inventively defines and investigates product complexity from the perspective of product quality performance with design information associated. The research outcomes provide simplified, interpretable, and informative insights for practitioners to better analyze and manage product complexity. In addition to this practical contribution, a novel hierarchical clustering technique is devised. This technique is capable of clustering uncertain data (i.e., beta distributions) with lower computational complexity and has the potential to be generalized to cluster all types of uncertain data.

Kim, K, Cho, Y and Kim, K (2018) BIM-Driven Automated Decision Support System for Safety Planning of Temporary Structures. Journal of Construction Engineering and Management, 144(08).

Lee, J (2018) Value Engineering for Defect Prevention on Building Façade. Journal of Construction Engineering and Management, 144(08).

Maemura, Y, Kim, E and Ozawa, K (2018) Root Causes of Recurring Contractual Conflicts in International Construction Projects: Five Case Studies from Vietnam. Journal of Construction Engineering and Management, 144(08).

Pomares, J C, González, A and Saura, P (2018) Simple and Resistant Construction Built with Concrete Voussoirs for Developing Countries. Journal of Construction Engineering and Management, 144(08).

Qian, Q and Zhang, L (2018) Impact of Regulatory Focus on Choice of Project-Governance Modes: Role of Tolerance of Opportunistic Behavior. Journal of Construction Engineering and Management, 144(08).

Siebelink, S, Voordijk, J T and Adriaanse, A (2018) Developing and Testing a Tool to Evaluate BIM Maturity: Sectoral Analysis in the Dutch Construction Industry. Journal of Construction Engineering and Management, 144(08).

Su, C T, Santoro, M C and Mendes, A B (2018) Constructive Heuristics for Project Scheduling Resource Availability Cost Problem with Tardiness. Journal of Construction Engineering and Management, 144(08).

Tabish, S Z S and Jha, K N (2018) Beyond the Iron Triangle in Public Construction Projects. Journal of Construction Engineering and Management, 144(08).

Techera, U, Hallowell, M, Littlejohn, R and Rajendran, S (2018) Measuring and Predicting Fatigue in Construction: Empirical Field Study. Journal of Construction Engineering and Management, 144(08).

Wang, X, Huang, X, Luo, Y, Pei, J and Xu, M (2018) Improving Workplace Hazard Identification Performance Using Data Mining. Journal of Construction Engineering and Management, 144(08).

Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. I: Background, Framework, and Initial Development. Journal of Construction Engineering and Management, 144(08).

Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. II: Consensus Building and Use Cases. Journal of Construction Engineering and Management, 144(08).

Zuluaga, C M, Albert, A and Arroyo, P (2018) Protecting Bridge Maintenance Workers from Falls: Evaluation and Selection of Compatible Fall Protection Supplementary Devices. Journal of Construction Engineering and Management, 144(08).