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Buchmann-Slorup, R (2014) Applying critical chain buffer management theory in location-based management. Construction Management and Economics, 32(06), 506-19.
Gatti, U C, Migliaccio, G C, Bogus, S M and Schneider, S (2014) An exploratory study of the relationship between construction workforce physical strain and task level productivity. Construction Management and Economics, 32(06), 548-64.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2013.831463
- Abstract:
The monitoring of construction workforce physical strain can be a valuable management strategy in improving workforce productivity, safety, health, and quality of work. Nevertheless, clear relationships between workforce performance and physical strain have yet to be established. An exploratory investigation of the relationship between task level productivity and physical strain was conducted. Nine participants individually performed a four-hour simulated construction task while a wearable physiological status monitor continuously assessed their physiological condition. Heart rate, relative heart rate, and breathing rate were utilized as predictors of physical strain, and task level-single factor productivity was used as an index of productivity. Numerous regression models were generated using the collected data. This investigation initially unsuccessfully attempted to establish a relationship between physiological condition and productivity at the individual worker level. However, an analysis of the regression models showed that there is a relationship between productivity and either heart rate or relative heart rate at the group level, and that this relationship is parabolic. Breathing rate was proved to not be a significant predictor of productivity. Research results significantly improve understanding of the relationship between work physiology and task productivity. Researchers and practitioners may use the tested monitoring devices, analysis methods, and results to design further applied studies and to improve workforce productivity.
Isaac, S and Navon, R (2014) Can project monitoring and control be fully automated?. Construction Management and Economics, 32(06), 495-505.
Lucko, G, Alves, T D C L and Angelim, V L (2014) Challenges and opportunities for productivity improvement studies in linear, repetitive, and location-based scheduling. Construction Management and Economics, 32(06), 575-94.
Nasir, H, Ahmed, H, Haas, C and Goodrum, P M (2014) An analysis of construction productivity differences between Canada and the United States. Construction Management and Economics, 32(06), 595-607.
Russell, A D, Tran, N and Staub-French, S (2014) Searching for value: construction strategy exploration and linear planning. Construction Management and Economics, 32(06), 520-47.
Seppänen, O, Evinger, J and Mouflard, C (2014) Effects of the location-based management system on production rates and productivity. Construction Management and Economics, 32(06), 608-24.
Sezer, A A and Brochner, J (2014) The construction productivity debate and the measurement of service qualities. Construction Management and Economics, 32(06), 565-74.
Van der Vlist, A J, Vrolijk, M H and Dewulf, G P M R (2014) On information and communication technology and production cost in construction industry: evidence from the Netherlands. Construction Management and Economics, 32(06), 641-51.
Vilasini, N, Neitzert, T and Rotimi, J (2014) Developing and evaluating a framework for process improvement in an alliance project: a New Zealand case study. Construction Management and Economics, 32(06), 625-40.