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Adeleye, T, Huang, M, Huang, Z and Sun, L (2013) Predicting Loss for Large Construction Companies. Journal of Construction Engineering and Management, 139(09), 1224–36.
Alsamadani, R, Hallowell, M R, Javernick-Will, A and Cabello, J (2013) Relationships among Language Proficiency, Communication Patterns, and Safety Performance in Small Work Crews in the United States. Journal of Construction Engineering and Management, 139(09), 1125–34.
Cruz, C O and Marques, R C (2013) Exogenous Determinants for Renegotiating Public Infrastructure Concessions: Evidence from Portugal. Journal of Construction Engineering and Management, 139(09), 1082–90.
Damci, A, Arditi, D and Polat, G (2013) Multiresource Leveling in Line-of-Balance Scheduling. Journal of Construction Engineering and Management, 139(09), 1108–16.
- Type: Journal Article
- Keywords: Algorithms; Scheduling; Construction management; Productivity; Line-of-balance; Multiresource leveling; Genetic algorithm; Cost and schedule;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000716
- Abstract:
Line-of-balance (LOB) methodology produces a work schedule in which resource allocation is automatically performed to provide a continuous and uninterrupted use of resources, but the distribution of resources could be further improved by resource leveling even if multiple resources are involved. The objective of this study is to develop a genetic algorithm (GA)-based multiresource leveling model for schedules that are established by LOB. The proposed model postulates that the production rate and duration of an activity are governed by the resource that requires the longest duration in completing a unit. Once the LOB schedule is established, resource leveling is performed according to the principle of optimum crew size that makes use of a utility data curve, which shows that productivity will suffer if the crew size is different than the optimum crew size, and the principle of natural rhythm that allows shifting the start times of an activity forward or backward at different units of production by changing the number of crews employed. The duration of an activity in any one unit and the precedence relationships between activities do not change during the leveling procedure. When applied to the LOB schedule of a pipeline project that was used to illustrate the model, it was observed that the proposed multiresource leveling model provided a smoother resource utilization histogram while maintaining optimum productivity.
Franz, B W, Leicht, R M and Riley, D R (2013) Project Impacts of Specialty Mechanical Contractor Design Involvement in the Health Care Industry: Comparative Case Study. Journal of Construction Engineering and Management, 139(09), 1091–7.
Hanna, A S, Thomas, G and Swanson, J R (2013) Construction Risk Identification and Allocation: Cooperative Approach. Journal of Construction Engineering and Management, 139(09), 1098–107.
Hegazy, T, Abdel-Monem, M, Saad, D A and Rashedi, R (2013) Hands-On Exercise for Enhancing Students’ Construction Management Skills. Journal of Construction Engineering and Management, 139(09), 1135–43.
Hollar, D A, Rasdorf, W, Liu, M, Hummer, J E, Arocho, I and Hsiang, S M (2013) Preliminary Engineering Cost Estimation Model for Bridge Projects. Journal of Construction Engineering and Management, 139(09), 1259–67.
Jafari, A and Love, P E D (2013) Quality Costs in Construction: Case of Qom Monorail Project in Iran. Journal of Construction Engineering and Management, 139(09), 1244–9.
Jin, Z, Deng, F, Li, H and Skitmore, M (2013) Practical Framework for Measuring Performance of International Construction Firms. Journal of Construction Engineering and Management, 139(09), 1154–67.
Li, J, Chiang, Y H, Choi, T N Y and Man, K F (2013) Determinants of Efficiency of Contractors in Hong Kong and China: Panel Data Model Analysis. Journal of Construction Engineering and Management, 139(09), 1211–23.
Liu, J Y, Zou, P X W and Gong, W (2013) Managing Project Risk at the Enterprise Level: Exploratory Case Studies in China. Journal of Construction Engineering and Management, 139(09), 1268–74.
Marzouk, M and Amin, A (2013) Predicting Construction Materials Prices Using Fuzzy Logic and Neural Networks. Journal of Construction Engineering and Management, 139(09), 1190–8.
Menesi, W, Golzarpoor, B and Hegazy, T (2013) Fast and Near-Optimum Schedule Optimization for Large-Scale Projects. Journal of Construction Engineering and Management, 139(09), 1117–24.
Shahandashti, S M and Ashuri, B (2013) Forecasting {[}Engineering News-Record{]} Construction Cost Index Using Multivariate Time Series Models. Journal of Construction Engineering and Management, 139(09), 1237–43.
Sunindijo, R Y and Zou, P X W (2013) Conceptualizing Safety Management in Construction Projects. Journal of Construction Engineering and Management, 139(09), 1144–53.
Tas, E, Cakmak, P I and Levent, H (2013) Determination of Behaviors in Building Product Information Acquisition for Developing a Building Product Information System in Turkey. Journal of Construction Engineering and Management, 139(09), 1250–8.
Wang, S, Tang, W and Li, Y (2013) Relationship between Owners’ Capabilities and Project Performance on Development of Hydropower Projects in China. Journal of Construction Engineering and Management, 139(09), 1168–78.
Xie, J and Thomas Ng, S (2013) Multiobjective Bayesian Network Model for Public-Private Partnership Decision Support. Journal of Construction Engineering and Management, 139(09), 1069–81.
Yorucu, V (2013) Construction in an Open Economy: Autoregressive Distributed Lag Modeling Approach and Causality Analysis—Case of North Cyprus. Journal of Construction Engineering and Management, 139(09), 1199–210.
Zhao, X, Hwang, B and Low, S P (2013) Developing Fuzzy Enterprise Risk Management Maturity Model for Construction Firms. Journal of Construction Engineering and Management, 139(09), 1179–89.