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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.

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.

  • Type: Journal Article
  • Keywords: Precast concrete; Simulation; Concrete slabs; Case studies; Variation; Cause; Penalty; Simulation; Concrete slab production facility;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000475
  • Abstract:
    Concrete precast plants require strict control over and adherence to the timing and sequence of operations. Variation for this research is divided into the variation in task starting time (the difference between the planned and the actual starting time) and the variation in task duration (the difference between the planned and the actual task duration). This study determined causes of variation in task starting time and duration of precast concrete slab production tasks. It also identified penalties associated with not reducing variation, which include an increase in project duration, Work in-Progress (WIP) and cost and a decrease in labor productivity. Additionally, two execution policies (keeping laborers waiting before preconditions are ready and keeping laborers busy) in the face of variation were compared by using STROBOSCOPE simulation techniques. It was found that simply keeping workers busy is insufficient for managing variation. Management effort should be devoted to eliminate causes of variation in the planning stage to make a reliable work plan. The results will help prefabricators to understand causes and penalties of variation, which is the starting point of attacking and reducing it. Although this study is based on a concrete slab production facility, this research can have a broader effect on the construction industry because the research method and simulation models developed in this study are applicable to other fabrication processes as well.

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.