Using oxygen consumption rate and heart rate to monitor form assembling work

Autor: Yu-de Weng, 翁宇德
Rok vydání: 2010
Druh dokumentu: 學位論文 ; thesis
Popis: 98
As the advancement and development of technology and industry continue, mechanism and automation of machines have helped reducing manpower. Nonetheless, many operations in the construction industry still require manpower since there aren’t appropriate automatic machines and tools to assist. In the construction industry, workers’ productivity closely influences the progress and cost of construction works. Execution planning, pricing, scheduling, execution duration and construction costs are all significantly related to the productivity of workers. The assessment methods and surveys over productivity commonly applied include: questionnaire survey, interview, on-site efficiency assessment, sampling survey, short duration efficiency assessment, etc. The surveys involve on-site observations and measurements as well as manual recording. In addition, most observations could only be made on partial operations instead of entire operations. Therefore, for reducing manpower cost and improving reliability of the results of productivity survey, this study attempts to discuss the feasibility of conducting productivity survey by way of automatic measurements of oxygen consumption and heart rate. In this study, the experiments were conducted in a laboratory. 12 objects were invited to join in the experiments. The practical operation of system framework at construction sites was simulated. Meanwhile, oxygen consumption and heart rate of the objects were measured. The average oxygen consumption and average heart rate obtained were used for making analysis of variance. Based on the test result against each type of work, it was suggested that most types of works could be categorized by oxygen consumption and heart rate while few types of works could not. Consequently, system framework was categorized into direct work, indirect work and no work followed by group testing. The test results showed that significant differences existed among those categories. Finally, it was proved that oxygen consumption and heart rate could effectively help to identify direct work, indirect work and no work under system framework and assess related productivity accordingly.
Databáze: Networked Digital Library of Theses & Dissertations