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Del Solar, P, Del Río, M, Villoria, P and Nadal, A (2016) Analysis of Recurrent Defects in the Execution of Ceramic-Coatings Cladding in Building Construction. Journal of Construction Engineering and Management, 142(04).

Du, J, El-Gafy, M and Zhao, D (2016) Optimization of Change Order Management Process with Object-Oriented Discrete Event Simulation: Case Study. Journal of Construction Engineering and Management, 142(04).

  • Type: Journal Article
  • Keywords: Change order; Process interaction; Activity scanning; Discrete event simulation; Object-oriented programming; Sensitivity analysis; Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001092
  • Abstract:
    Change orders are common to most construction projects. They can significantly increase project cost and duration, leading to more claims and disputes and ultimately creating an adversarial relationship among project members. Evidence has shown that a contributing factor to the inefficiency of change order management is the management process utilized in most construction projects, which always relates to suboptimal allocation of resources and unnecessary procedures. Discrete event simulation (DES) provides an effective approach to streamline the change order management process by evaluating a series of improvement options. Based on a comparison of two prevailing DES paradigms, activity scanning (AS) and process interaction (PI), this paper presents an object-oriented DES model to investigate the change order management process. A case study has been performed to investigate the change order management process at a Midwestern land-grant university with the proposed simulation model, where the bottlenecks of as-is process have been identified and improved. The developed model employs PI paradigm rather than AS paradigm because the former is capable of capturing the real time state changes of change orders. Sensitivity analysis (SA) is also applied to examine the quantitative impacts of changeable variables to evaluate improvement options. The results indicate that PI paradigm outperforms AS in the investigation of change order management process. It is also expected that the developed model provides an optimization tool to support change order management.

Jordan Srour, F, Kiomjian, D and Srour, I M (2016) Learning Curves in Construction: A Critical Review and New Model. Journal of Construction Engineering and Management, 142(04).

Kim, C, Kim, T, Lee, U, Cho, H and Kang, K (2016) Advanced Steel Beam Assembly Approach for Improving Safety of Structural Steel Workers. Journal of Construction Engineering and Management, 142(04).

Larsson, J, Lu, W, Krantz, J and Olofsson, T (2016) Discrete Event Simulation Analysis of Product and Process Platforms: A Bridge Construction Case Study. Journal of Construction Engineering and Management, 142(04).

Lucko, G and Kaminsky, J A (2016) Construction Engineering Conference and Workshop 2014: Setting an Industry–Academic Collaborative Research Agenda. Journal of Construction Engineering and Management, 142(04).

Mirzadeh, I and Birgisson, B (2016) Evaluation of Highway Projects under Government Support Mechanisms Based on an Option-Pricing Framework. Journal of Construction Engineering and Management, 142(04).

Shen, X and Marks, E (2016) Near-Miss Information Visualization Tool in BIM for Construction Safety. Journal of Construction Engineering and Management, 142(04).

Szentes, H and Eriksson, P E (2016) Paradoxical Organizational Tensions between Control and Flexibility When Managing Large Infrastructure Projects. Journal of Construction Engineering and Management, 142(04).

Wang, T, Tang, W, Qi, D, Shen, W and Huang, M (2016) Enhancing Design Management by Partnering in Delivery of International EPC Projects: Evidence from Chinese Construction Companies. Journal of Construction Engineering and Management, 142(04).

Xiong, W, Zhang, X and Chen, H (2016) Early-Termination Compensation in Public–Private Partnership Projects. Journal of Construction Engineering and Management, 142(04).

Zhang, L and El-Gohary, N M (2016) Discovering Stakeholder Values for Axiology-Based Value Analysis of Building Projects. Journal of Construction Engineering and Management, 142(04).