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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).

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).

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).

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).

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).

Type: Journal Article
Keywords: Preliminary duration estimation; Case-based reasoning; Early stage planning; Cost and schedule;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001072
Abstract:
The applicability and effectiveness of case-based reasoning (CBR) have been demonstrated in various construction management areas, including bidding, international market selection, safety hazard identification, construction litigation, and preliminary cost estimation. Despite its strong potential as a decision-supporting tool in construction, only a few studies have applied CBR for estimating the preliminary duration that is necessary for the overall success of a construction project. Based on this recognition, this paper develops a CBR model capable of accurately estimating the construction duration in the preliminary stage. The applicability and effectiveness of the developed model are tested through application to 83 multihousing projects. The test results confirm the strong potential of CBR to provide an accurate estimate of construction duration with limited information available in the preliminary stage. This paper is significant in that it provides practitioners with a reliable decision-supporting tool for accurately estimating construction duration, and thus, ultimately increases the possibility of successful project execution.

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).

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).

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).