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SSUD71-013: Managing Complexity in Construction (Maximising Value)

Description

This subject addresses the importance of using BIM/Lean/IPD principles and digital transformation to maximise value in all aspects of design and project delivery of complex projects. The strategic management of digital information using 3D BIM models, digital tools and Lean/IPD principles to collect, analyse and communicate data collaboratively is the driving force for future delivery of major complex projects with multiple stakeholders. The subject extends the discussion and practical applications of BIM best practice with decision-making processes based on robust, accessible data-driven information from digital design concept to operation of a building over its lifespan. This subject involves a critical review of BIM principles and processes integrated with Lean/IPD based practices. The underlying focus of the subject ties all concepts back to information management, delivering value not only to the contractor but to the ultimate client.  The subject is taught in a highly interactive environment and covers a range of topics relating to the opportunities and methods employed by contractors to leverage BIM during construction.

Subject details

Type: Postgraduate Subject
Code: SSUD71-013
EFTSL: 0.125
Faculty: Faculty of Society and Design
Semesters offered:
  • January 2024 [Non-Standard Offering - BRISBANE]
Credit: 10
Study areas:
  • Construction, Property, and Planning
Subject fees:
  • Commencing in 2023: $5,450.00
  • Commencing in 2024: $5,560.00
  • Commencing in 2025: $5,680.00
  • Commencing in 2023: $5,710.00
  • Commencing in 2024: $6,060.00
  • Commencing in 2025: $6,340.00

Learning outcomes

  1. Evaluate BIM/Lean/IPD technology outputs to make decisions regarding manufacturing aspects of the delivery process that could contribute to maximisation of project value.
  2. Assess potential construction delivery intentions using BIM platforms with a Lean construction focus within an IPD approach to determine the best combination and integration of digital information to optimize value on projects.
  3. Synthesise various aspects of the 7 and 8 component models (depending on model source) for maximizing value on projects with particular emphasis on - collaboratively collecting, analysing and communicating data for delivery of major complex projects using BIM best-practice decision making processes integrated with Lean/IPD based practices to leverage BIM during construction.

Enrolment requirements

Requisites:

Nil

Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Restrictions:

Students are required to have cognate discipline knowledge prior to enrolment. Bond PG sudents enrolled in either Architecture, Project Management , Property or City Planning can take this subject as an elective. Study abroad students or Bond students enrolled in non-cognate degrees require approval from the programs Discipline Lead to enrol.

This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Subject dates

  • Non-Standard Offering - BRISBANE
    Enrolment opens: 12/11/2023
    Semester start: 19/02/2024
    Subject start: 19/02/2024
    Cancellation 1: 29/02/2024
    Cancellation 2: 02/03/2024
    Last enrolment: 27/02/2024
    Withdraw - Financial: 09/03/2024
    Withdraw - Academic: 21/03/2024
    Teaching census: 08/03/2024
Non-Standard Offering - BRISBANE
Enrolment opens: 12/11/2023
Semester start: 19/02/2024
Subject start: 19/02/2024
Cancellation 1: 29/02/2024
Cancellation 2: 02/03/2024
Last enrolment: 27/02/2024
Withdraw - Financial: 09/03/2024
Withdraw - Academic: 21/03/2024
Teaching census: 08/03/2024