Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 황성주 | * |
dc.date.accessioned | 2019-11-19T16:31:04Z | - |
dc.date.available | 2019-11-19T16:31:04Z | - |
dc.date.issued | 2015 | * |
dc.identifier.issn | 0733-9364 | * |
dc.identifier.issn | 1943-7862 | * |
dc.identifier.other | OAK-25786 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/252081 | - |
dc.description.abstract | Adding new laborers during construction is usually considered the easiest option to execute when a schedule delay occurs in a construction project. However, determining the proper number of new laborers to add is quite challenging because newly added laborers' short-term productivity for their first several production cycles could be significantly different from that of existing laborers. While existing studies suggest that newly added laborers' site-learning may cause such a difference, this process has not been considered when forecasting newly added laborers' short-term productivity. In this context, this study presents a method that takes into account site-learning effects and the periodic characteristics of newly added laborers' short-term productivity. The periodic characteristics of productivity are analyzed based on a time-series model of existing laborers' productivity. Then, the impact of the site-learning effect on the productivity is considered based on existing learning-effect theory. An illustrative example demonstrates the accuracy and usefulness of the presented method. Its results indicate that the consideration of the site-learning effect prevents the frequent and counterproductive underestimation of the required number of newly added laborers in establishing an accelerated recovery schedule. (C) 2015 American Society of Civil Engineers. | * |
dc.language | English | * |
dc.publisher | ASCE-AMER SOC CIVIL ENGINEERS | * |
dc.subject | Productivity forecasting | * |
dc.subject | Site-learning effect | * |
dc.subject | Time-series analysis | * |
dc.subject | Schedule delay | * |
dc.subject | Quantitative methods | * |
dc.title | Productivity Forecasting of Newly Added Workers Based on Time-Series Analysis and Site Learning | * |
dc.type | Article | * |
dc.relation.issue | 9 | * |
dc.relation.volume | 141 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT | * |
dc.identifier.doi | 10.1061/(ASCE)CO.1943-7862.0001002 | * |
dc.identifier.wosid | WOS:000359937000007 | * |
dc.author.google | Kim, Hyunsoo | * |
dc.author.google | Lee, Hyun-Soo | * |
dc.author.google | Park, Moonseo | * |
dc.author.google | Ahn, Changbum R. | * |
dc.author.google | Hwang, Sungjoo | * |
dc.contributor.scopusid | 황성주(56292907200) | * |
dc.date.modifydate | 20240527130041 | * |