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Gerassis, S, Martín, J E, García, J T, Saavedra, A and Taboada, J (2017) Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments. Journal of Construction Engineering and Management, 143(02).

Guo, B H W, Yiu, T W, González, V A and Goh, Y M (2017) Using a Pressure-State-Practice Model to Develop Safety Leading Indicators for Construction Projects. Journal of Construction Engineering and Management, 143(02).

Hanna, A S, Mikhail, G and Iskandar, K A (2017) State of Prefab Practice in the Electrical Construction Industry: Qualitative Assessment. Journal of Construction Engineering and Management, 143(02).

Kadry, M, Osman, H and Georgy, M (2017) Causes of Construction Delays in Countries with High Geopolitical Risks. Journal of Construction Engineering and Management, 143(02).

Kim, H, Ahn, C R and Yang, K (2017) Identifying Safety Hazards Using Collective Bodily Responses of Workers. Journal of Construction Engineering and Management, 143(02).

Love, P E D, Veli, S, Davis, P, Teo, P and Morrison, J (2017) {[}See the Difference{]} in a Precast Facility: Changing Mindsets with an Experiential Safety Program. Journal of Construction Engineering and Management, 143(02).

Ng, A W Y and Chan, A H S (2017) Mental Models of Construction Workers for Safety-Sign Representation. Journal of Construction Engineering and Management, 143(02).

Olaniran, O J, Love, P E D, Edwards, D J, Olatunji, O and Matthews, J (2017) Chaos Theory: Implications for Cost Overrun Research in Hydrocarbon Megaprojects. Journal of Construction Engineering and Management, 143(02).

Park, J, Kim, K and Cho, Y K (2017) Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors. Journal of Construction Engineering and Management, 143(02).

Park, Y, Gwak, H and Lee, D (2017) Dozer Workability Estimation Method for Economic Dozing. Journal of Construction Engineering and Management, 143(02).

  • Type: Journal Article
  • Keywords: Dozer; Workability; Economic dozing; Performance; Construction materials and methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001228
  • Abstract:
    This paper presents a computational method called the dozer workability estimation (DoWe) system. It collects the internal system variables of a dozer machine and the external system environment variables, calculates the engine output loss attributed to these variables, identifies the optimal set of forward and reverse gears that maximizes its economic performance, and computes the gradeability with the gears. This study is of significance to earthwork managers because the method identifies the optimal solution that minimizes the cycle time, thus establishing an earthwork plan that satisfies expense-related and time-related project constraints. This study is also relevant to researchers in that it allows investigation of the variability of cycle time and productivity attributed to the changes in the system attributes. The usability and validity of the DoWe was confirmed experimentally for a test case of a straight shuttle dozing operation administered by the focus group of earthwork managers.

Wang, C, Mohd-Rahim, F A, Chan, Y Y and Abdul-Rahman, H (2017) Fuzzy Mapping on Psychological Disorders in Construction Management. Journal of Construction Engineering and Management, 143(02).

Zhong, Y, Ling, F Y Y and Wu, P (2017) Using Multiple Attribute Value Technique for the Selection of Structural Frame Material to Achieve Sustainability and Constructability. Journal of Construction Engineering and Management, 143(02).