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Alkass, S, Aronian, A and Moselhi, O (1993) Computer‐Aided Equipment Selection for Transporting and Placing Concrete. Journal of Construction Engineering and Management, 119(03), 445–65.
Beliveau, Y, Dixit, S and Dal, T (1993) Dynamic Damping of Payload Motion for Cranes. Journal of Construction Engineering and Management, 119(03), 631–44.
Bernold, L E and Guler, N (1993) Analysis of Back Injuries in Construction. Journal of Construction Engineering and Management, 119(03), 607–21.
Gonzalez‐Quevedo, A A, AbouRizk, S M, Iseley, D T and Halpin, D W (1993) Comparison of Two Simulation Methodologies in Construction. Journal of Construction Engineering and Management, 119(03), 573–89.
Hadavi, A and Krizek, R J (1993) Short‐Term Goal Setting for Construction. Journal of Construction Engineering and Management, 119(03), 622–30.
Halpin, D W (1993) Process‐Based Research to Meet the International Challenge. Journal of Construction Engineering and Management, 119(03), 415–25.
Hicks, J C (1993) Haul‐Unit Performance. Journal of Construction Engineering and Management, 119(03), 646–53.
Hornaday, W C, Haas, C T, O'Connor, J T and Wen, J (1993) Computer‐Aided Planning for Heavy Lifts. Journal of Construction Engineering and Management, 119(03), 498–515.
Laufer, A, Shapira, A, Cohenca‐Zall, D and Howell, G A (1993) Prebid and Preconstruction Planning Process. Journal of Construction Engineering and Management, 119(03), 426–44.
Mallon, J C and Mulligan, D E (1993) Quality Function Deployment—A System for Meeting Customers' Needs. Journal of Construction Engineering and Management, 119(03), 516–31.
McCahill, D F and Bernold, L E (1993) Resource‐Oriented Modeling and Simulation in Construction. Journal of Construction Engineering and Management, 119(03), 590–606.
Moselhi, O, Hegazy, T and Fazio, P (1993) DBID: Analogy‐Based DSS for Bidding in Construction. Journal of Construction Engineering and Management, 119(03), 466–79.
- Type: Journal Article
- Keywords: Decision support systems; Bids; Neural networks; Construction; Algorithms;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(1993)119:3(466)
- Abstract:
This paper presents a decision‐support system (DSS) that aids contractors in preparing competitive bids for building projects. The DSS uses neural networks for markup estimation that derive solutions for new bid situations based on analogy with past projects using information elicited from contractors in Canada and the United States. The neural networks were trained to generalize the projects' knowledge and thus become able to predict the outcomes of a project when fed with the contractor's assessment of various project risks. The proposed DSS is coded in a user‐friendly software called DBID. The software enables the contractor to retrain the neural networks on some of his or her past bid encounters and accordingly adapt the model to his or her own environment. In estimating the optimum markup for a new project, the uncertainty in the contractor's assessment of project risks is accounted for by a sensitivity analysis conducted using the Monte Carlo simulation technique. Such analysis produces a measure of the probability of winning at any desired level of markup. The capabilities of the present DSS are demonstrated through an example application.
Pau, S H, Chau, K W and Wong, W G (1993) Prospects for No‐Dig Technology in Hong Kong Construction Industry. Journal of Construction Engineering and Management, 119(03), 550–9.
Recarte Suazo, G A and Jaselskis, E J (1993) Comparison of Construction Safety Codes in United States and Honduras. Journal of Construction Engineering and Management, 119(03), 560–72.
Slaughter, E S (1993) Builders as Sources of Construction Innovation. Journal of Construction Engineering and Management, 119(03), 532–49.
Zack, J G (1993) “Claimsmanship”: Current Perspective. Journal of Construction Engineering and Management, 119(03), 480–97.