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The aim of process modeling is to collect the requirements of a construction process by specifying\u00a0i)the tasks to be executed;\u00a0ii)\u00a0the locations where they need to be executed;\u00a0iii)\u00a0the resources needed;\u00a0iv)\u00a0the productivity;\u00a0v)\u00a0possible temporal dependencies among them.<\/p>\n
Outcomes of the project will be a\u00a0framework,\u00a0methodology\u00a0and\u00a0tool\u00a0to support a collaborative process modeling (i.e. involving the main actors taking part to the project).<\/p>\n
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A process schedule should be\u00a0i)\u00a0defined over a short-term temporal window (daily\/week);\u00a0ii)\u00a0must consider resources actually available on-site;\u00a0iii)\u00a0based on up-to-date data on the progress of the work on site.<\/p>\n
The project aims at developing suitable\u00a0methodology and a\u00a0SW prototype\u00a0to support a detailed, short-term schedule. Both aspect will be integrated with the modeling module (e.g., to check dependency satisfaction, to determine needed resources for a task).<\/p>\n
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The monitoring module is\u00a0integrated with the modeling and the scheduling one. Specifically,\u00a0i)\u00a0scheduling is performed based on current information of the overall work progress; and\u00a0ii)information on the expected progress in the model is updated according to real conditions on site.<\/p>\n
An outcome of the project will be a\u00a0methodology\u00a0to ensure that the progress is measured coherently for the different tasks, and a\u00a0SW prototype\u00a0for supporting the monitoring of the progress on-site (using mobile devices). The system will elaborate the data and present statistical information, highlighting potential problems or source of delay.<\/p>\n
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