Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 20 results ...
Agyekum-Mensah, G, Reid, A and Temitope, T A (2020) Methodological Pluralism: Investigation into Construction Engineering and Management Research Methods. Journal of Construction Engineering and Management, 146(03).
Ayhan, B U and Tokdemir, O B (2020) Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks. Journal of Construction Engineering and Management, 146(03).
Bowen, P and Zhang, R P (2020) Cross-Boundary Contact, Work-Family Conflict, Antecedents, and Consequences: Testing an Integrated Model for Construction Professionals. Journal of Construction Engineering and Management, 146(03).
Chan, A P C, Nwaogu, J M and Naslund, J A (2020) Mental Ill-Health Risk Factors in the Construction Industry: Systematic Review. Journal of Construction Engineering and Management, 146(03).
Collinge, W (2020) Stakeholder Engagement in Construction: Exploring Corporate Social Responsibility, Ethical Behaviors, and Practices. Journal of Construction Engineering and Management, 146(03).
Dutta, A, Breloff, S P, Dai, F, Sinsel, E W, Warren, C M and Wu, J Z (2020) Identifying Potentially Risky Phases Leading to Knee Musculoskeletal Disorders during Shingle Installation Operations. Journal of Construction Engineering and Management, 146(03).
Farahani, A, Wallbaum, H and Dalenbäck, J (2020) Cost-Optimal Maintenance and Renovation Planning in Multifamily Buildings with Annual Budget Constraints. Journal of Construction Engineering and Management, 146(03).
Gao, Y, González, V A and Yiu, T W (2020) Exploring the Relationship between Construction Workers’ Personality Traits and Safety Behavior. Journal of Construction Engineering and Management, 146(03).
Gunduz, M and Elsherbeny, H A (2020) Operational Framework for Managing Construction-Contract Administration Practitioners’ Perspective through Modified Delphi Method. Journal of Construction Engineering and Management, 146(03).
Gurmu, A T and Ongkowijoyo, C S (2020) Predicting Construction Labor Productivity Based on Implementation Levels of Human Resource Management Practices. Journal of Construction Engineering and Management, 146(03).
Haj Seiyed Taghia, S A, Darvishvand, H R and Ebrahimi, M (2020) Economic Analyses for Low-Strength Concrete Wrapped with CFRP to Improve the Mechanical Properties and Seismic Parameters. Journal of Construction Engineering and Management, 146(03).
Ho Song, M and Fischer, M (2020) Empirical Determination of the Smallest Batch Sizes for Daily Planning. Journal of Construction Engineering and Management, 146(03).
Ji, Y and Leite, F (2020) Optimized Planning Approach for Multiple Tower Cranes and Material Supply Points Using Mixed-Integer Programming. Journal of Construction Engineering and Management, 146(03).
Lee, C, Chong, H, Li, Q and Wang, X (2020) Joint Contract–Function Effects on BIM-Enabled EPC Project Performance. Journal of Construction Engineering and Management, 146(03).
Lee, Y Y R, Samad, H and Miang Goh, Y (2020) Perceived Importance of Authentic Learning Factors in Designing Construction Safety Simulation Game-Based Assignment: Random Forest Approach. Journal of Construction Engineering and Management, 146(03).
Lijauco, F, Gajendran, T, Brewer, G and Rasoolimanesh, S M (2020) Impacts of Culture on Innovation Propensity in Small to Medium Enterprises in Construction. Journal of Construction Engineering and Management, 146(03).
Lyu, H, Sun, W, Shen, S and Zhou, A (2020) Risk Assessment Using a New Consulting Process in Fuzzy AHP. Journal of Construction Engineering and Management, 146(03).
Mansouri, S, Castronovo, F and Akhavian, R (2020) Analysis of the Synergistic Effect of Data Analytics and Technology Trends in the AEC/FM Industry. Journal of Construction Engineering and Management, 146(03).
Shiha, A, Dorra, E M and Nassar, K (2020) Neural Networks Model for Prediction of Construction Material Prices in Egypt Using Macroeconomic Indicators. Journal of Construction Engineering and Management, 146(03).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001785
- Abstract:
Adequate cost estimation at the planning phase is an integral part of a construction project’s success. Many uncertainties disturb the planners’ initial estimations and lead to cost overruns. Although many researchers highlighted the correlation between economic conditions and construction costs, accurate quantification of the impact of this correlation has not yet been reached. This paper proposes three models that utilize artificial neural networks (ANNs) to predict the future prices of major construction materials, namely steel reinforcement bars and portland cement, in the context of the Egyptian construction industry 6 months ahead. A Microsoft Excel spreadsheet that also utilizes genetic algorithm (GA), NeuralTools software, and Python programing language in Spyder software was used to develop the three models. Historical data of steel and cement prices as well as macroeconomic indicators in Egypt from May 2008 to June 2018 were used for training, testing, and validation of the proposed models. The inputs to the proposed ANN models are the identified leading economic indicators such as gross domestic product, unemployment rate, and Consumer Price Index (CPI). The developed ANN models show promising results in prediction of month-to-month variations in material prices while having mean-absolute-percentage error that ranges from 4.0% to 11% for the different models. The proposed models can potentially be useful tools for construction contractors as well as owners for predicting and quantifying the fluctuations of major construction materials prices to prepare mitigation measures that will reduce the extra costs incurred.
Votto, R, Lee Ho, L and Berssaneti, F (2020) Applying and Assessing Performance of Earned Duration Management Control Charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, 146(03).