Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling

Autor:	F. Jordan Srour, Issam Srour, Mohamad Awada
Rok vydání:	2021
Předmět:	Computer science Strategy and Management Industrial relations General Engineering Data analysis Scheduling (production processes) Submittals Building and Construction Management Science and Operations Research Industrial engineering Field (computer science) Data-driven
Zdroj:	Journal of Management in Engineering. 37
ISSN:	1943-5479 0742-597X
DOI:	10.1061/(asce)me.1943-5479.0000873
Popis:	Construction projects are data-rich environments. However, those data are usually captured for site-specific reasons, e.g., the filing and approval of inspection requests, with little regar...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7aeef1ace7fe217fd6fc696a86ffb026 https://doi.org/10.1061/(asce)me.1943-5479.0000873 Zobrazit plný text záznamu