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Al-Humaidi, H M (2016) Construction Projects Bid or Not Bid Approach Using the Fuzzy Technique for Order Preference by Similarity FTOPSIS Method. Journal of Construction Engineering and Management, 142(12).

Bhaumik, P K (2016) Developing and Using a New Family of Project S-Curves Using Early and Late Shape Parameters. Journal of Construction Engineering and Management, 142(12).

Cheng, E W L (2016) Intentions to Form Project Partnering in Hong Kong: Application of the Theory of Planned Behavior. Journal of Construction Engineering and Management, 142(12).

Choi, Y S, Lim, I, Kim, T, Cho, H and Kang, K (2016) Case Study of the Core Structure Succeeding Method for Tall Building Construction. Journal of Construction Engineering and Management, 142(12).

Chong, D, Wang, Y, Chen, L and Yu, B (2016) Modeling and Validation of Energy Consumption in Asphalt Mixture Production. Journal of Construction Engineering and Management, 142(12).

Doan, D T and Chinda, T (2016) Modeling Construction and Demolition Waste Recycling Program in Bangkok: Benefit and Cost Analysis. Journal of Construction Engineering and Management, 142(12).

Elbarkouky, M M G, Fayek, A R, Siraj, N B and Sadeghi, N (2016) Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency. Journal of Construction Engineering and Management, 142(12).

Firouzi, A, Yang, W and Li, C (2016) Prediction of Total Cost of Construction Project with Dependent Cost Items. Journal of Construction Engineering and Management, 142(12).

Hassan, M E, Kandil, A, Senouci, A and Al-Derham, H (2016) Organizational Behavior Attributes and Sustainable Construction Adoption: An Econometric Analysis Using Data from Qatar. Journal of Construction Engineering and Management, 142(12).

Hyari, K H, Tarawneh, Z S and Katkhuda, H N (2016) Detection Model for Unbalanced Pricing in Construction Projects: A Risk-Based Approach. Journal of Construction Engineering and Management, 142(12).

Li, S, Cai, H and Kamat, V R (2016) Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking. Journal of Construction Engineering and Management, 142(12).

M. Said, H M and Lucko, G (2016) Float Types in Construction Spatial Scheduling. Journal of Construction Engineering and Management, 142(12).

Namian, M, Albert, A, Zuluaga, C M and Behm, M (2016) Role of Safety Training: Impact on Hazard Recognition and Safety Risk Perception. Journal of Construction Engineering and Management, 142(12).

Patel, D A, Kikani, K D and Jha, K N (2016) Hazard Assessment Using Consistent Fuzzy Preference Relations Approach. Journal of Construction Engineering and Management, 142(12).

Pishdad-Bozorgi, P, de la Garza, J M and Austin, R B (2016) Readiness Assessment for Flash Tracking. Journal of Construction Engineering and Management, 142(12).

  • Type: Journal Article
  • Keywords: Fast track; Flash track; Analytic hierarchy process (AHP); Project planning and design; Concurrent engineering; Design-construction integration; Project acceleration; Colocation; Relational contracting; Trust; Schedule-driven projects; Organizational issu
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001190
  • Abstract:
    The pursuit of Faster Fast Track or Flash Track is deemed necessary in today’s industry for reasons such as emergency rebuilds, competitive market advantage, and regulatory compliance. Flash Tracking has been defined as a time-driven project, which by necessity requires a heightened degree of concurrency between engineering, procurement, and construction. This paper reports on Flash Track readiness assessment algorithms that were developed to enable an organization to assess its readiness to execute time-critical or Flash Track projects. The readiness assessment algorithms were developed by defining the relative importance of 47 essential Flash Track practices, grouped into 6 categories using the analytic hierarchy process (AHP). The weights of the practices and categories were determined by a 15-member industry expert panel, comprised of 15 Construction Industry Institute (CII) member companies representing owners, contractors, and engineering organizations. The algorithms were ultimately integrated into a Flash Track toolkit. In a validation exercise, representatives from 13 completed Flash Track projects used the toolkit with reference to their projects. Project representatives’ retrospective self-assessment of readiness to perform the projects on a Flash Track basis were moderately to strongly correlated (r=0.76) with their readiness assessment forecasted by this research’s algorithms. This research provides the first quantitative measurement suitable to assess an organization’s readiness to undertake the unique challenges of a Flash Track project.

Sadeghi, N, Fayek, A R and Gerami Seresht, N (2016) A Fuzzy Discrete Event Simulation Framework for Construction Applications: Improving the Simulation Time Advancement. Journal of Construction Engineering and Management, 142(12).