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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.
- Type: Journal Article
- Keywords: Construction management; Scheduling; Algorithms; Resource allocation; Computer applications; Construction management; Scheduling; Heuristic; Time-cost trade-off; Resource allocation; Constrained resource scheduling; Computer application;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000483
- Abstract:
Project deadline and resource limits are practical constraints that coexist in most projects. While heuristic methods for constrained resource scheduling (CRS) have become mainstream in commercial scheduling software, no commercial software includes any time-cost trade-off (TCT) heuristic to help meet deadline, let alone any procedure to resolve both deadline and resource constraints. This paper, therefore, introduces a practical heuristic method to meet both deadline and resource limits. The proposed method basically uses cycles of crashing for lowest-cost critical activities (i.e., stepwise TCT process) and resolves any resource overallocation (i.e., CRS) within each TCT cycle. This intertwined approach is logical, fast, and provides a set of feasible project durations that do not violate resource limits. To facilitate its practical use, the proposed method has been programmed as an add-in tool to Microsoft Project software. The paper discusses several case studies that prove the practicality and usefulness of the proposed approach to both researchers and professionals and provides a comparison of results with other literature efforts.
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.
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.