Ranjith K Soman - PhD candidate 2017 - present

Bentley

Codifying information flow in ‘construction as a manufacturing process’ in BIM-enabled projects to support future automation . This doctoral research focuses on codifying information flow in ‘construction as a manufacturing process’ in BIM-enabled projects to support future automation. The focus is on determining the potential areas of improvement in information flow and to develop novel solutions, which enable bidirectional information flows, such as BIM query language, interactive visualisation, automated data collection etc. to address existing limitations of BIM-based processes and in the process, to codify the information flows. In the context of BIM level 3, which recommends integrated and real-time information, bidirectional information flow is vital.

 

AIM & OBJECTIVES
Aim: To develop and implement novel solutions to codify information flow in ‘construction as a manufacturing process’ in BIM-enabled projects to support future automation Objectives of this research are:
1. To map the information generation and use during the off-site manufacturing and on-site assembly processes in BIM-enabled projects;
2. To develop and implement a solution to improve bidirectional information flow during the off-site manufacturing and on-site assembly processes by modifying the workflow for interaction with BIM data, and evaluate its performance based on implementation; and
3. To provide guidelines for effective implementation of the developed solution to enable bidirectional information flow during the offsite manufacturing and on-site assembly processes.

RESEARCH PLAN
To codify information flow in ‘construction as a manufacturing process, develop a novel solution and, provide guidelines for implementation, the current research is conducted in 8 work-packages.

Ranjith
EXPECTED OUTPUTS
1. Concept diagram showing the interaction between key participants during the off-site manufacturing and on-site assembly processes (Participants will receive the report);
2. A novel solution for codifying the bidirectional information flow during the off-site manufacturing and on-site assembly processes, by improving the process for interaction with BIM data; and~
3. Guidelines for effective implementation of the solution to improve bidirectional information flow in ‘construction as a manufacturing process’.

INDUSTRY ASSISTANCE REQUIREMENT
To interpret the information flow, the experience of key participants in BIM-enabled projects is sought as part of the ‘document analysis, field observation and interviews work package (WP-4)’. Data collection includes observation notes, access to supporting secondary data/event-logs such as extranets that documents the communication between key participants in ‘construction as a manufacturing process’ (this may be in completed documents, in BIM models or on extranets) and interviews. Investigators request to grant access to the manufacturing facility and construction offices to collect observation data as well as to attend progress meetings. One-hour interviews with key participants (design, digital engineering, construction, project management, procurement, planning and manufacturing) are required to validate the mapped information flow. A research protocol for this research is currently being developed and agreed with supervisors. Information collected will be used only for the research purpose. A sign-off sheet will be used to ensure that participants have
control over the use of their information in the research and any subsequent research publication.

CONTACT DETAILS AND FUNDING INFORMATION
For further information, please contact Ranjith K Soman (ranjithks17@imperial.ac.uk) doctoral candidate, or his supervisors: Prof. Jennifer Whyte (j.whyte@imperial.ac.uk) and Dr David Birch (david.birch@imperial.ac.uk). The PhD is located within the Centre for Systems Engineering and Innovation, Department of Civil and Environmental Engineering at Imperial College, and is co-sponsored by a departmental Skempton scholarship and a grant from Bentley Systems UK.