Kevin McHugh
PhD
Supervisor: Prof Lauri Koskela
The research will provide a basis for integrating lean commitment planning with digital data in the construction industry. The use of digital data will enhance a bottom up management process to allow construction managers identify trends and manage opportunities and risks that arise through the production process. This will allow construction teams and management teams to integrate at each level to manage and commit to planned tasks.
Collaborating in this way allows for more information to generated, it is noted that digitisation improved the standardisation of the planning and control process; use of indicators to assess compliance with planning; critical analysis of information; using an easy-to-understand and transparent master plan. The key for successful lean deployment is the reliability of the commitments and the ability to continuously improve these commitments.
Construction projects are designed and managed in a digital environment. Where construction organisations are trying to digitise processes across the construction lifecycle there still has been no measurable improvement of construction productivity. Therefore, without the proper thought and consideration given to the core organisational pillars – i.e. people and processes, the digitisation does not automatically solve the problems. In fact, if people and process issues are not addressed, digitisation may end up creating more problems than solving.
There is also the potential for adding waste into the digital control system. Gathering and processing data that does not add value with the potential of generating too much data, which if not accurate could also be wasteful. Gathering and using larger volumes of data from the place of work will require a greater involvement of production teams. Gathering and managing digital data allows teams to work remotely and does not require all team members to assemble physically to commit to planned work. However generating an increased volume of planned commitments requires discipline to manage and close out to ensure the quality of the data. Moreover, the management of digital data is now becoming challenging. Identifying the correct data and the correct measurement will be dictate how successful an organisation can manage the project.