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Al-Humaidi, H M (2016) Construction Projects Bid or Not Bid Approach Using the Fuzzy Technique for Order Preference by Similarity FTOPSIS Method. Journal of Construction Engineering and Management, 142(12).
Bhaumik, P K (2016) Developing and Using a New Family of Project S-Curves Using Early and Late Shape Parameters. Journal of Construction Engineering and Management, 142(12).
Cheng, E W L (2016) Intentions to Form Project Partnering in Hong Kong: Application of the Theory of Planned Behavior. Journal of Construction Engineering and Management, 142(12).
Choi, Y S, Lim, I, Kim, T, Cho, H and Kang, K (2016) Case Study of the Core Structure Succeeding Method for Tall Building Construction. Journal of Construction Engineering and Management, 142(12).
Chong, D, Wang, Y, Chen, L and Yu, B (2016) Modeling and Validation of Energy Consumption in Asphalt Mixture Production. Journal of Construction Engineering and Management, 142(12).
Doan, D T and Chinda, T (2016) Modeling Construction and Demolition Waste Recycling Program in Bangkok: Benefit and Cost Analysis. Journal of Construction Engineering and Management, 142(12).
Elbarkouky, M M G, Fayek, A R, Siraj, N B and Sadeghi, N (2016) Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency. Journal of Construction Engineering and Management, 142(12).
Firouzi, A, Yang, W and Li, C (2016) Prediction of Total Cost of Construction Project with Dependent Cost Items. Journal of Construction Engineering and Management, 142(12).
Hassan, M E, Kandil, A, Senouci, A and Al-Derham, H (2016) Organizational Behavior Attributes and Sustainable Construction Adoption: An Econometric Analysis Using Data from Qatar. Journal of Construction Engineering and Management, 142(12).
Hyari, K H, Tarawneh, Z S and Katkhuda, H N (2016) Detection Model for Unbalanced Pricing in Construction Projects: A Risk-Based Approach. Journal of Construction Engineering and Management, 142(12).
- Type: Journal Article
- Keywords: Unbalanced pricing; Skewed bidding; Bid pricing; Competitive bidding; Detection model; Construction projects; Contracting;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001203
- Abstract:
Unbalanced pricing of bid line items is considered an undesirable practice by owners and may lead to rejection of the bid on the basis of nonresponsiveness to the bidding regulations. This paper presents the development of a detection model to help owners detect objectionable unbalanced bidding. The proposed model quantifies the risk afforded by deviations of the actual quantities of work from the estimated quantities of the bid line items. The proposed model also considers the impact of multiple uncertainties in line item quantities on the owner’s total project cost based on the unit prices submitted by all the bidders for the project. Historical deviations from the estimated quantities during previous construction projects are used as an indicator of future fluctuations in the estimated quantities. The proposed model allows uncertainty in the quantities of work to be incorporated into the bid evaluation stage to assess each bidder’s likelihood of being the truly lowest bidder (i.e., yielding the lowest cost to the owner). An application example, based on actual bid results submitted to the California Department of Transportation, was used to illustrate the effectiveness of the model in detecting objectionable unbalanced bids. The model is expected to provide much needed support for owners in the bid evaluation stage and to reduce the controversy around unbalanced pricing because it targets material unbalancing rather than the whole practice of unbalanced pricing.
Li, S, Cai, H and Kamat, V R (2016) Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking. Journal of Construction Engineering and Management, 142(12).
M. Said, H M and Lucko, G (2016) Float Types in Construction Spatial Scheduling. Journal of Construction Engineering and Management, 142(12).
Namian, M, Albert, A, Zuluaga, C M and Behm, M (2016) Role of Safety Training: Impact on Hazard Recognition and Safety Risk Perception. Journal of Construction Engineering and Management, 142(12).
Patel, D A, Kikani, K D and Jha, K N (2016) Hazard Assessment Using Consistent Fuzzy Preference Relations Approach. Journal of Construction Engineering and Management, 142(12).
Pishdad-Bozorgi, P, de la Garza, J M and Austin, R B (2016) Readiness Assessment for Flash Tracking. Journal of Construction Engineering and Management, 142(12).
Sadeghi, N, Fayek, A R and Gerami Seresht, N (2016) A Fuzzy Discrete Event Simulation Framework for Construction Applications: Improving the Simulation Time Advancement. Journal of Construction Engineering and Management, 142(12).