Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 12 results ...

Alarcón, L F, Rodríguez, A and Mourgues, C (2012) Impact of Machine-Failure Costs on Equipment Replacement Policies: Tunneling Company Case Study. Journal of Construction Engineering and Management, 138(06), 767–74.

Deshpande, A S, Salem, O M and Miller, R A (2012) Analysis of the Higher-Order Partial Correlation between CII Best Practices and Performance of the Design Phase in Fast-Track Industrial Projects. Journal of Construction Engineering and Management, 138(06), 716–24.

Hegazy, T and Menesi, W (2012) Heuristic Method for Satisfying Both Deadlines and Resource Constraints. Journal of Construction Engineering and Management, 138(06), 688–96.

Koo, K and Park, S (2012) GA-Based Fuel-Efficient Transfer Path Selection Model for Delivering Construction Materials. Journal of Construction Engineering and Management, 138(06), 725–32.

  • Type: Journal Article
  • Keywords: Construction materials; Algorithms; Optimization; Energy efficiency; Fuels; Oils; Emissions; Construction materials; Delivery; Genetic algorithm; Optimization; Energy efficiency;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000473
  • Abstract:
    Oil prices may continue to rise indefinitely until alternative fossil fuels or renewable energies are commercialized. In this sense, general contractors who have the responsibility of delivering construction materials should select an optimized alternative that needs the least oil among the various combinations of truck types of logistic companies, routes, and suppliers. In this context, the objective of this paper was to develop a genetic-algorithm (GA)-based fuel-efficient transfer path selection model (GAFETPSM) for delivering construction materials with minimum fuel consumption. A GAFETPSM considers the truck type, road type, and fuel-efficiency variation by load, and the constraints of capacity, number of trucks, and total load to be delivered. Finally, a case study showed that GAFETPSM is superior to the simulated-annealing (SA)-based model in terms of fuel consumption in delivering the same weight of construction materials. It is expected that GAFETPSM could contribute to reduce the carbon-dioxide emission by using less oil.

Oates, D and Sullivan, K T (2012) Postoccupancy Energy Consumption Survey of Arizona’s LEED New Construction Population. Journal of Construction Engineering and Management, 138(06), 742–50.

Petroutsatou, K, Georgopoulos, E, Lambropoulos, S and Pantouvakis, J P (2012) Early Cost Estimating of Road Tunnel Construction Using Neural Networks. Journal of Construction Engineering and Management, 138(06), 679–87.

Ranasinghe, U, Ruwanpura, J and Liu, X (2012) Streamlining the Construction Productivity Improvement Process with the Proposed Role of a Construction Productivity Improvement Officer. Journal of Construction Engineering and Management, 138(06), 697–706.

San Cristóbal, J R (2012) Contractor Selection Using Multicriteria Decision-Making Methods. Journal of Construction Engineering and Management, 138(06), 751–8.

Sing, C, Love, P E D and Tam, C M (2012) Stock-Flow Model for Forecasting Labor Supply. Journal of Construction Engineering and Management, 138(06), 707–15.

Tatari, O and Kucukvar, M (2012) Eco-Efficiency of Construction Materials: Data Envelopment Analysis. Journal of Construction Engineering and Management, 138(06), 733–41.

Wang, C, Liu, M, Hsiang, S M and Leming, M L (2012) Causes and Penalties of Variation: Case Study of a Precast Concrete Slab Production Facility. Journal of Construction Engineering and Management, 138(06), 775–85.

Xie, H, AbouRizk, S and Zou, J (2012) Quantitative Method for Updating Cost Contingency throughout Project Execution. Journal of Construction Engineering and Management, 138(06), 759–66.