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Edwards, D J, Holt, G D and Harris, F C (2000) Estimating life cycle plant maintenance costs. Construction Management and Economics, 18(04), 427-35.

Lingard, H, Graham, P and Smithers, G (2000) Employee perceptions of the solid waste management system operating in a large Australian contracting organization: implications for company policy implementation. Construction Management and Economics, 18(04), 383-93.

Loosemore, M, Nguyen, B T and Denis, N (2000) An investigation into the merits of encouraging conflict in the construction industry. Construction Management and Economics, 18(04), 447-56.

Love, P E D and Li, H (2000) Quantifying the causes and costs of rework in construction. Construction Management and Economics, 18(04), 479-90.

Manavazhi, M R (2000) Hybrid modelling framework for synthesizing virtual structures. Construction Management and Economics, 18(04), 415-26.

Ranasinghe, M (2000) Impact of correlation and induced correlation on the estimation of project cost of buildings. Construction Management and Economics, 18(04), 395-406.

Shapira, A and Goldfinger, D (2000) Work-input model for assembly and disassembly of high shoring towers. Construction Management and Economics, 18(04), 467-77.

Tah, J H M and Carr, V (2000) A proposal for construction project risk assessment using fuzzy logic. Construction Management and Economics, 18(04), 491-500.

Tam, C M, Deng, Z M, Zeng, S X and Ho, C S (2000) Quest for continuous quality improvement for public housing construction in Hong Kong. Construction Management and Economics, 18(04), 437-46.

Wanous, M, Boussabaine, A H and Lewis, J (2000) To bid or not to bid: a parametric solution. Construction Management and Economics, 18(04), 457-66.

  • Type: Journal Article
  • Keywords: bid/no bid criteria; parametric bidding model; Syria
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190050024879
  • Abstract:

    One of the most important decisions that has to be made by construction companies/contractors is whether or not to bid for a new project when an invitation has been received. It would be of great help if a structured model could be developed that deals systematically with different bidding situations. A simple parametric solution for the ’bid/no bid’ decision is reported in this paper. This solution is based on the findings of six semi-structured interviews and a formal questionnaire through which 38 factors that affect the bid/no bid decision were identified and ranked according to their importance to contractors operating in Syria. Only the most influential factors were considered in the development process. The model was optimized using data about 162 real bidding situations. Then the optimized model was tested using another 20 real projects. It proved 85% accurate in simulating the actual decisions. Although, the proposed model is based on data from the Syrian construction industry it could be modified very easily to suit other countries.

Wong, E T T, Norman, G and Flanagan, R (2000) A fuzzy stochastic technique for project selection. Construction Management and Economics, 18(04), 407-14.