Technical Papers
Jun 14, 2018

Data-Driven Simulation Model for Quality-Induced Rework Cost Estimation and Control Using Absorbing Markov Chains

Publication: Journal of Construction Engineering and Management
Volume 144, Issue 8

Abstract

This paper aims to develop a novel, data-driven simulation model to quantitatively assist decision support systems in quality-induced rework cost estimation and control for construction product fabrication. At the core of the model is a specialized absorbing Markov chain, which stochastically models the construction product fabrication process while considering quality-induced rework uncertainty. The model parameters are dynamically updated using real-time quality management and cost management information to achieve more accurate and reliable simulation outputs. Furthermore, two types of decision-support metrics are developed to support rework cost management processes, namely (1) rework cost estimation during the project planning phase, and (2) rework cost control during the project execution phase. An illustrative example is provided to demonstrate the functionalities of the model and the implementation of the decision-support metrics. Finally, the proposed approach is integrated into the previously developed simulation-based analytics framework and implemented by an industrial pipe fabrication company in Edmonton, Canada. The presented case study demonstrates the applicability and feasibility of the proposed approach to industrial pipe welding processes.

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Data Availability Statement

Data analyzed during the study were provided by a third party. Requests for data should be directed to the provider indicated in the Acknowledgments. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.

Acknowledgments

This research is funded by the Natural Science and Engineering Research Council of Canada (NSERC) Collaborative Research and Development Grant (CRDPJ 492657). The authors would like to acknowledge Rob Reid, Doug McCarthy, Jason Davio, and Christian Jukna for sharing their knowledge and expertise of industrial pipe welding quality and cost management.

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 144Issue 8August 2018

History

Received: Nov 3, 2017
Accepted: Mar 7, 2018
Published online: Jun 14, 2018
Published in print: Aug 1, 2018
Discussion open until: Nov 14, 2018

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Authors

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Wenying Ji, A.M.ASCE [email protected]
Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 ST, 5-080 NREF, Edmonton, AB, Canada T6G 2W2. Email: [email protected]
Simaan M. AbouRizk, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105 116 ST, 5-080 NREF, Edmonton, AB, Canada T6G 2W2 (corresponding author). Email: [email protected]

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