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AbouRizk, S M, Halpin, D W and Wilson, J R (1991) Visual Interactive Fitting of Beta Distributions. Journal of Construction Engineering and Management, 117(04), 589–605.

Abudayyeh, O Y and Rasdof, W J (1991) Design of Construction Industry Information Management Systems. Journal of Construction Engineering and Management, 117(04), 698–715.

Bernold, L E and Treseler, J F (1991) Vendor Analysis for Best Buy in Construction. Journal of Construction Engineering and Management, 117(04), 645–58.

Cole, L J R (1991) Construction Scheduling: Principles, Practices, and Six Case Studies. Journal of Construction Engineering and Management, 117(04), 579–88.

De La Garza, J M and Mitropoulos, P (1991) . Journal of Construction Engineering and Management, 117(04), 736–55.

De La Garza, J M, Vorster, M C and Parvin, C M (1991) Total Float Traded as Commodity. Journal of Construction Engineering and Management, 117(04), 716–27.

de Neufville, R and King, D (1991) Risk and Need‐for‐Work Premiums in Contractor Bidding. Journal of Construction Engineering and Management, 117(04), 659–73.

Kakoto, T and Skibniewski, M (1991) Engineering Decision Support of Automated Shield Tunneling. Journal of Construction Engineering and Management, 117(04), 674–90.

Moselhi, O, Hegazy, T and Fazio, P (1991) Neural Networks as Tools in Construction. Journal of Construction Engineering and Management, 117(04), 606–25.

Reinschmidt, K F, Griffis, F H ( and Bronner, P L (1991) Integration of Engineering, Design, and Construction. Journal of Construction Engineering and Management, 117(04), 756–72.

Riggs, L S and Hills, J W (1991) Implications for U.S. Construction Companies in 1992 European Community. Journal of Construction Engineering and Management, 117(04), 773–90.

Rowings, J E (1991) Project‐Controls Systems Opportunities. Journal of Construction Engineering and Management, 117(04), 691–7.

Sanders, S R and Thomas, H R (1991) Factors Affecting Masonry‐Labor Productivity. Journal of Construction Engineering and Management, 117(04), 626–44.

  • Type: Journal Article
  • Keywords: Masonry; Productivity; Construction management; Constructability;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1991)117:4(626)
  • Abstract:
    Past studies of masonry‐labor productivity fail to accurately identify the factors that most affect masonry productivity and to quantify the factors' effects. This paper describes a methodology to identify and quantify the project‐related factors that significantly affect masonry productivity. Standardized data‐collection techniques are used to collect and consolidate data from 11 central Pennsylvania masonry projects. Exploratory analyses are performed to determine which factors most affect productivity. The factors identified are the work type, building element, construction methods, design requirements, and weather. More detailed analyses indicate that: (1) Data from multiple projects can be consolidated to obtain statistically valid results; (2) repetitive designs can effect a 30% improvement in productivity; (3) designs that require extensive layout and cutting can negatively affect productivity by as much as 40%; and (4) the effects of weather on masonry productivity are not well understood and deserve additional research.

Touran, A (1991) Modeling Uncertainty in Operations with Nonstationary Cycle Times. Journal of Construction Engineering and Management, 117(04), 728–35.