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Şentürk, H A and Yazici, G (2004) Case Study: Izmit Domestic and Industrial Water Supply Build–Operate–Transfer Project. Journal of Construction Engineering and Management, 130(03), 449–54.

Abudayyeh, O, Dibert-DeYoung, A and Jaselskis, E (2004) Analysis of Trends in Construction Research: 1985–2002. Journal of Construction Engineering and Management, 130(03), 433–9.

Bossink, B A G (2004) Managing Drivers of Innovation in Construction Networks. Journal of Construction Engineering and Management, 130(03), 337–45.

Christini, G, Fetsko, M and Hendrickson, C (2004) Environmental Management Systems and ISO 14001 Certification for Construction Firms. Journal of Construction Engineering and Management, 130(03), 330–6.

Fang, D P, Huang, X Y and Hinze, J (2004) Benchmarking Studies on Construction Safety Management in China. Journal of Construction Engineering and Management, 130(03), 424–32.

Gransberg, D D, Karaca, I and Senadheera, S (2004) Calculating Roller Requirements for Chip Seal Projects. Journal of Construction Engineering and Management, 130(03), 378–84.

Han, S H, Diekmann, J E, Lee, Y and Ock, J H (2004) Multicriteria Financial Portfolio Risk Management for International Projects. Journal of Construction Engineering and Management, 130(03), 346–56.

Moussourakis, J and Haksever, C (2004) Flexible Model for Time/Cost Tradeoff Problem. Journal of Construction Engineering and Management, 130(03), 307–14.

Nima, M A, Abdul-Kadir, M R, Jaafar, M S and Alghulami, R G (2004) Constructability Concepts in Kuala Selangor Cable-Stayed Bridge in Malaysia. Journal of Construction Engineering and Management, 130(03), 315–21.

O’Connor, J T and Yang, L (2004) Project Performance versus Use of Technologies at Project and Phase Levels. Journal of Construction Engineering and Management, 130(03), 322–9.

Peng, J (2004) Structural Modeling and Design Considerations for Double-Layer Shoring Systems. Journal of Construction Engineering and Management, 130(03), 368–77.

Pietroforte, R and Stefani, T P (2004) ASCE Journal of Construction Engineering and Management: Review of the Years 1983–2000. Journal of Construction Engineering and Management, 130(03), 440–8.

Seo, S, Aramaki, T, Hwang, Y and Hanaki, K (2004) Fuzzy Decision-Making Tool for Environmental Sustainable Buildings. Journal of Construction Engineering and Management, 130(03), 415–23.

Shen, L Y, Li, Q M, Drew, D and Shen, Q P (2004) Awarding Construction Contracts on Multicriteria Basis in China. Journal of Construction Engineering and Management, 130(03), 385–93.

Wang, W (2004) Electronic-Based Procedure for Managing Unbalanced Bids. Journal of Construction Engineering and Management, 130(03), 455–60.

Warszawski, A and Sacks, R (2004) Practical Multifactor Approach to Evaluating Risk of Investment in Engineering Projects. Journal of Construction Engineering and Management, 130(03), 357–67.

Zayed, T M and Halpin, D W (2004) Quantitative Assessment for Piles Productivity Factors. Journal of Construction Engineering and Management, 130(03), 405–14.

  • Type: Journal Article
  • Keywords: Pile foundations; Construction; Productivity; Fuzzy sets; foundations; construction; fuzzy set theory; productivity; project management; planning; decision making; civil engineering;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:3(405)
  • Abstract:
    The management process of any construction operation usually can be defined as a chain of decisions. A decision-maker can bid, plan, and organize the bored pile projects based on an accurate estimate of productivity. To estimate productivity efficiently, piling process qualitative and quantitative factors have to be considered. This paper focuses on assessing the effect of subjective factors on bored pile construction productivity. A productivity index (PI) model is developed to represent this subjective effect in refining productivity assessment using simulation and deterministic techniques. The analytic hierarchy process and fuzzy logic are used to develop the proposed PI model that relies on the actual performance of 10 main piling process subjective factors. Subjective data were collected from bored pile (drilled shaft) contractors considering these subjective factors. The developed PI model implementation to piling process resulted in PI=0.7. This value has been validated using simulation model outputs.

Zayed, T M and Halpin, D W (2004) Simulation as a Tool for Pile Productivity Assessment. Journal of Construction Engineering and Management, 130(03), 394–404.