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Abdallah, M, El-Rayes, K and Liu, L (2016) Minimizing Upgrade Cost to Achieve LEED Certification for Existing Buildings. Journal of Construction Engineering and Management, 142(02).
Ahmed, M O, El-adaway, I H, Coatney, K T and Eid, M S (2016) Construction Bidding and the Winner’s Curse: Game Theory Approach. Journal of Construction Engineering and Management, 142(02).
Aljassmi, H, Han, S and Davis, S (2016) Analysis of the Complex Mechanisms of Defect Generation in Construction Projects. Journal of Construction Engineering and Management, 142(02).
AlMaian, R Y, Needy, K L, Walsh, K D and Alves, T d C L (2016) A qualitative data analysis for supplier quality-management practices for engineer-procure-construct projects. Journal of Construction Engineering and Management, 142(02), 04015061.
Arroyo, P, Tommelein, I D and Ballard, G (2016) Selecting Globally Sustainable Materials: A Case Study Using Choosing by Advantages. Journal of Construction Engineering and Management, 142(02).
Austin, R B, Pishdad-Bozorgi, P and de la Garza, J M (2016) Identifying and Prioritizing Best Practices to Achieve Flash Track Projects. Journal of Construction Engineering and Management, 142(02).
- Type: Journal Article
- Keywords: Project planning and design; Fast track; Flash track; Concurrent engineering; Design-construction integration; Project acceleration; Co-location; Relational contracting; Trust; Schedule-driven projects;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001061
- Abstract:
This paper presents the initial findings of an ongoing research effort focused on identifying, quantifying, and ranking essential industry practices for the successful delivery of faster fast-track, or Flash Track, projects. The research data collection involves literature search, engineering, procurement, construction industry interviews, and discussions with an industry expert panel. This research has extensively explored and analyzed U.S. and international practices and has deeply explored project execution practices in industries other than construction, including manufacturing, shipbuilding, and software engineering/development. The methodology employed in this research entails deployment of a three-round Delphi process and an Analytic Hierarchy Process to produce a comprehensive list of prioritized recommendations on essential Flash Track practices. This paper contributes to the body of knowledge by identifying and ranking 18 industry best practices essential to successfully manage the unique challenges and risks inherent in Flash Track projects. This research finds that planning, execution, and organizational practices are the most essential considerations for successful Flash Tracking. It also highlights the central role of trusting relationships and fully integrated work teams and, in doing so, extends earlier studies calling for innovative approaches, rethinking prevailing practices, and entertaining a new paradigm in Flash Track projects.
Baqerin, M H, Shafahi, Y and Kashani, H (2016) Application of Weibull Analysis to Evaluate and Forecast Schedule Performance in Repetitive Projects. Journal of Construction Engineering and Management, 142(02).
Chen, Q, Jin, Z, Xia, B, Wu, P and Skitmore, M (2016) Time and Cost Performance of Design–Build Projects. Journal of Construction Engineering and Management, 142(02).
Chiang, Y H, Li, V J, Zhou, L, Wong, F and Lam, P (2016) Evaluating Sustainable Building-Maintenance Projects: Balancing Economic, Social, and Environmental Impacts in the Case of Hong Kong. Journal of Construction Engineering and Management, 142(02).
Choi, K, Lee, H W, Mao, Z, Lavy, S and Ryoo, B Y (2016) Environmental, Economic, and Social Implications of Highway Concrete Rehabilitation Alternatives. Journal of Construction Engineering and Management, 142(02).
Dang, T and Bargstädt, H (2016) 4D Relationships: The Missing Link in 4D Scheduling. Journal of Construction Engineering and Management, 142(02).
De Marco, A, Rafele, C and Thaheem, M J (2016) Dynamic Management of Risk Contingency in Complex Design-Build Projects. Journal of Construction Engineering and Management, 142(02).
Hasan, A and Jha, K N (2016) Acceptance of the Incentive/Disincentive Contracting Strategy in Developing Construction Markets: Empirical Study from India. Journal of Construction Engineering and Management, 142(02).
He, W, Tang, W, Wei, Y, Duffield, C F and Lei, Z (2016) Evaluation of Cooperation during Project Delivery: Empirical Study on the Hydropower Industry in Southwest China. Journal of Construction Engineering and Management, 142(02).
Hyari, K H (2016) Handling Unbalanced Bidding in Construction Projects: Prevention Rather Than Detection. Journal of Construction Engineering and Management, 142(02).
Jarkas, A M (2016) Effect of Buildability on Labor Productivity: A Practical Quantification Approach. Journal of Construction Engineering and Management, 142(02).
Jiang, H, Lin, P and Qiang, M (2016) Public-Opinion Sentiment Analysis for Large Hydro Projects. Journal of Construction Engineering and Management, 142(02).
Jin, R, Han, S, Hyun, C and Cha, Y (2016) Application of Case-Based Reasoning for Estimating Preliminary Duration of Building Projects. Journal of Construction Engineering and Management, 142(02).
Kim, T, Lee, H W and Hong, S (2016) Value Engineering for Roadway Expansion Project over Deep Thick Soft Soils. Journal of Construction Engineering and Management, 142(02).
Leung, M, Yu, J and Chong, M L A (2016) Effects of Stress and Commitment on the Performance of Construction Estimation Participants in Hong Kong. Journal of Construction Engineering and Management, 142(02).
Lim, T, Park, S, Lee, H and Lee, D (2016) Artificial Neural Network–Based Slip-Trip Classifier Using Smart Sensor for Construction Workplace. Journal of Construction Engineering and Management, 142(02).
Lines, B C, Sullivan, K T and Wiezel, A (2016) Support for Organizational Change: Change-Readiness Outcomes among AEC Project Teams. Journal of Construction Engineering and Management, 142(02).
Liu, Y and Yeh, I (2016) Building Valuation Model of Enterprise Values for Construction Enterprise with Quantile Neural Networks. Journal of Construction Engineering and Management, 142(02).
Oh, E H, Naderpajouh, N, Hastak, M and Gokhale, S (2016) Integration of the Construction Knowledge and Expertise in Front-End Planning. Journal of Construction Engineering and Management, 142(02).
Rafiei, M H and Adeli, H (2016) A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units. Journal of Construction Engineering and Management, 142(02).
Said, H (2016) Modeling and Likelihood Prediction of Prefabrication Feasibility for Electrical Construction Firms. Journal of Construction Engineering and Management, 142(02).
Seyis, S, Ergen, E and Pizzi, E (2016) Identification of Waste Types and Their Root Causes in Green-Building Project Delivery Process. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Ahn, S, Lee, S, Haas, C T and Haas, R C G (2016) Current Status of Interface Management in Construction: Drivers and Effects of Systematic Interface Management. Journal of Construction Engineering and Management, 142(02).
Shokri, S, Haas, C T, G. Haas, R C and Lee, S H (2016) Interface-Management Process for Managing Risks in Complex Capital Projects. Journal of Construction Engineering and Management, 142(02).
Tymvios, N and Gambatese, J A (2016) Perceptions about Design for Construction Worker Safety: Viewpoints from Contractors, Designers, and University Facility Owners. Journal of Construction Engineering and Management, 142(02).