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Assaad, R, El-Adaway, I H and Abotaleb, I S (2020) Predicting Project Performance in the Construction Industry. Journal of Construction Engineering and Management, 146(05).

Chan, A P C, Chiang, Y, Wong, F K, Liang, S and Abidoye, F A (2020) Work–Life Balance for Construction Manual Workers. Journal of Construction Engineering and Management, 146(05).

Firouzi, A and Khayyati, M (2020) Bayesian Updating of Copula-Based Probabilistic Project-Duration Model. Journal of Construction Engineering and Management, 146(05).

Gao, N and Touran, A (2020) Cost Overruns and Formal Risk Assessment Program in US Rail Transit Projects. Journal of Construction Engineering and Management, 146(05).

Hacker, M E, Kaminsky, J, Faust, K M and Rauch, S (2020) Regulatory Enforcement Approaches for Mass Population Displacement. Journal of Construction Engineering and Management, 146(05).

Hasanzadeh, S, de la Garza, J M and Geller, E S (2020) Latent Effect of Safety Interventions. Journal of Construction Engineering and Management, 146(05).

Hu, Q, Bai, Y, He, L, Cai, Q, Tang, S, Ma, G, Tan, J and Liang, B (2020) Intelligent Framework for Worker-Machine Safety Assessment. Journal of Construction Engineering and Management, 146(05).

Hua, Y, He, J, Gong, J and Zhao, J (2020) Hazardous Area Risk-Based Evacuation Simulation and Analysis of Building Construction Sites. Journal of Construction Engineering and Management, 146(05).

Krechowicz, M (2020) Comprehensive Risk Management in Horizontal Directional Drilling Projects. Journal of Construction Engineering and Management, 146(05).

Liu, C, AbouRizk, S, Morley, D and Lei, Z (2020) Data-Driven Simulation-Based Analytics for Heavy Equipment Life-Cycle Cost. Journal of Construction Engineering and Management, 146(05).

  • Type: Journal Article
  • Keywords: Data-driven simulation-based analytics; Equipment management; Life-cycle cost analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001816
  • Abstract:
    Heavy civil and mining construction industries rely greatly on the usage of heavy equipment. Managing a heavy-equipment fleet in a cost-efficient manner is key for long-term profitability. To ensure the cost-efficiency of equipment management, practitioners are required to accurately quantify the equipment life-cycle cost, instead of merely depending on the empirical method. This study proposes a data-driven, simulation-based analytics to quantify the life-cycle cost of heavy equipment, incorporating both maintenance and ownership costs. In the proposed methodology, the K-means clustering and expectation-maximization (EM) algorithms are applied for input modeling to distinguish the maintenance stages, and to further generate corresponding distributions of these points. These distributions then are used to quantify the uncertainties embedded in the equipment costs through simulations. A historical data set of ownership and maintenance costs for a mining truck model was used to demonstrate the feasibility and validity of the proposed approach. This approach was proven to be effective in predicting the cumulative total cost of equipment, which provides analytical decision support for equipment-management practitioners.

Liu, J and Lu, M (2020) Synchronized Optimization of Various Management-Function Schedules in a Multiproject Environment: Case Study of Planning Steel Girder Fabrication Projects in Bridge Construction. Journal of Construction Engineering and Management, 146(05).

Lu, W, Xu, J and Söderlund, J (2020) Exploring the Effects of Building Information Modeling on Projects: Longitudinal Social Network Analysis. Journal of Construction Engineering and Management, 146(05).

Martínez-Rocamora, A, García-Alvarado, R, Casanova-Medina, E, González-Böhme, L F and Auat-Cheein, F (2020) Parametric Programming of 3D Printed Curved Walls for Cost-Efficient Building Design. Journal of Construction Engineering and Management, 146(05).

Navon, R (2020) The Last Lecture: The Need for Civil Engineering Education to Stimulate Thinking Instead of Only Teaching. Journal of Construction Engineering and Management, 146(05).

Nguyen, P H D, Tran, D and Lines, B C (2020) Fuzzy Set Theory Approach to Classify Highway Project Characteristics for Delivery Selection. Journal of Construction Engineering and Management, 146(05).

Okonkwo, P N and Wium, J (2020) Health and Safety Management Systems within Construction Contractor Organizations: Case Study of South Africa. Journal of Construction Engineering and Management, 146(05).

Pan, M and Pan, W (2020) Understanding the Determinants of Construction Robot Adoption: Perspective of Building Contractors. Journal of Construction Engineering and Management, 146(05).

Raoufi, M and Fayek, A R (2020) Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance. Journal of Construction Engineering and Management, 146(05).

Song, M H and Fischer, M (2020) Generating a Daily Bill of Materials at Level of Development 400 Using the Smallest Workface Boundary. Journal of Construction Engineering and Management, 146(05).

Tomczak, M and JaÅ›kowski, P (2020) New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, 146(05).

Wondimu, P A, Klakegg, O J, Lohne, J and Lædre, O (2020) Experiences with Best-Value Procurement in Norway and the Netherlands. Journal of Construction Engineering and Management, 146(05).

Yu, T, Liang, X and Wang, Y (2020) Factors Affecting the Utilization of Big Data in Construction Projects. Journal of Construction Engineering and Management, 146(05).

Zhang, X, Li, Y and Wu, D (2020) Developing an Underground Utility Occupation Index for Efficient Urban Utilities Planning. Journal of Construction Engineering and Management, 146(05).