Fig. 1. Process of the study
Fig. 2. Deep neural network diagram (Park, 2017)
Fig. 3. Deep learning-based productivity calculation process
Fig. 4. Deep learning-based productivity prediction process
Fig. 5. Deep learning model
Fig. 6. Example of five-minute ratings
Fig. 7. Comparing input labor calculation process (AS-IS, TO-BE)
Table 1. Preliminary study on productivity
Table 2. Productivity-impacting factors in interior works
Table 3. Productivity impacting factor variation rules
Table 4. Deep learning model used functions
Table 5. Overview of gathering data from sample project
Table 6. Baseline and actual productivity of sample project
Table 7. Criteria for classification
Table 8. Five-minute ratings design of sample project
Table 9. Effective work rate and productivity by crew
Table 10. Deep learning model data of the sample project
Table 11. Impact analysis of sample project impacting factor
Table 12. Productivity prediction comparison (AS-IS, TO-BE)
References
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