Items with Index Term: construction estimating

Alnajjar, A (1995) Hyper automated estimating support system. PhD thesis, Illinois Institute of Technology, USA.

An, Mi Sun (2024) Framework for interactive, individualized feedback design to improve thinking skills in construction education. PhD thesis, Texas A&M University, USA.

Collins, W and Redden, L (2021) Improving student’s estimating abilities through experiential learning. International Journal of Construction Education and Research, 17(2), pp. 117-132. ISSN 1557-8771

Duzkale, A K and Lucko, G (2016) Exposing uncertainty in bid preparation of steel construction cost estimating: II. Comparative analysis and quantitative C-I-V-I-L classification. Journal of Construction Engineering and Management, 142(10): 04016050, ISSN 0733-9364

Duzkale, A K and Lucko, G (2016) Exposing uncertainty in bid preparation of steel construction cost estimating: I. Conceptual framework and qualitative C-I-V-I-L classification. Journal of Construction Engineering and Management, 142(10): 04016049, ISSN 0733-9364

Elhegazy, H; Ebid, A; Mahdi, I; Haggag, S and Abdul-Rashied, I (2021) Implementing QFD in decision making for selecting the optimal structural system for buildings. Construction Innovation, 21(2), pp. 345-360. ISSN 1471-4175

Enshassi, A; Mohamed, S and Madi, I (2005) Factors affecting accuracy of cost estimation of building contracts in the Gaza Strip. Journal of Financial Management of Property and Construction, 10(2), pp. 115-125. ISSN 1366-4387

Hauck, A J (1990) Development and evaluation of computerized construction estimating, pricing, and bidding programs using integrated applications software. PhD thesis, University of Maryland, College Park, USA.

Hegazy, T M (1994) Integrated bid preparation with emphases on risk assessment using neural networks. PhD thesis, Concordia University, Canada.

Lee, M; Jeong, J and Lee, J (2025) Development of a quantitative assessment method for occupational accident risk of construction workers using resource and cost information in the preconstruction stage. Journal of Construction Engineering and Management, 151(12): 04025208, ISSN 0733-9364

Leslie, S E (1997) Forecasting the funding needs of infrastructure renewal: A construction estimating technique. PhD thesis, University of Cincinnati, USA.

Luu, D and Sher, W (2006) Construction tender subcontract selection using case-based reasoning. Construction Economics and Building, 6(2), pp. 32-43. ISSN 2204-9029

Maghrebi, M; Shamsoddini, A and Waller, S T (2016) Fusion-based learning approach for predicting concrete pouring productivity based on construction and supply parameters. Construction Innovation, 16(2), pp. 185-202. ISSN 1471-4175

Mak, S and Raftery, J (1992) Risk attitude and systematic bias in estimating and forecasting. Construction Management and Economics, 10(4), pp. 303-320. ISSN 01446193

Nouh, A; Elkasaby, E and Hussein, K (2023) Establishment of prediction system for cost of defect liability phase in construction project. Construction Innovation, 23(2), pp. 467-486. ISSN 1471-4175

Ovararin, N (2001) Quantifying productivity loss due to field disruptions in masonry construction. PhD thesis, University of Texas at Austin, USA.

Pantouvakis, J-P (1990) Declarative - configurable estimating systems for the construction industry. PhD thesis, University of Nottingham, UK.

Ross, A and Goulding, J (2007) Supply chain transactional barriers to design cost management. Construction Innovation, 7(3), pp. 274-287. ISSN 1471-4175

Spencer, G R (1987) Integration of cost estimating with critical path scheduling. PhD thesis, Oklahoma State University, USA.

Talley, K G and Torres, A S (2018) Measuring the impact of using daily objectives to provide rapid feedback in construction courses. International Journal of Construction Education and Research, 14(2), pp. 95-117. ISSN 1557-8771

Vegad, K; Madurwar, M and Ralegaonkar, R (2014) Application of AV-ERP system for on-site project monitoring. Construction Innovation, 14(4), pp. 518-531. ISSN 1471-4175

Zhu, Y and Issa, R (2017) Computer simulation for construction education using the structure-behavior-function theory: A pilot study on learning estimating concepts. International Journal of Construction Education and Research, 13(2), pp. 142-60. ISSN 1557-8771