Modules for Graduate Certificate in Construction Productivity Enhancement Coming up soon Tentatively from January 2019 SkillsFuture funding may apply 1. CE5808A Digital Design Using BIM Technologies 2. CE5808B Virtual Design & Construction: Moving Beyond BIM 3. CE5603A Evaluating Economic Feasibility of Projects 4. CE5603B Evaluating Economic Risks in Projects 5. CE5806A Advanced Project Management 6. CE5806B Lean Construction Management 7. CE5805A Construction Productivity Analytics 8. CE5805B Design for Manufacture and Assembly 9. CE5807A Digital Technology & Analytics for Construction 10. CE5807B Integrated Construction Logistics Participants are allowed to read up to two of the following modules (with fees) from the Graduate Certificate Program in Structural Design Technology as electives in place of two modules offered in the Graduate Certificate Program in Construction Productivity Enhancement. 1. CE5509A Advanced Structural Steel Design to EC3 2. CE5509B Design of Composite Steel and Concrete Structures to EC4 3. CE5611A Specifying concrete to EN 206 4. CE5611B Precast Concrete Design
CE5808A Digital Design Using BIM Technologies Dr Justin Yeoh Ker-Wei Building Information Models are central repositories of data and information about the building over its lifecycle. The objective of this module is to enable participants to understand the technology underpinning building information models, and the different data standards involved. This will allow students to create, manipulate and update building information models at the data level. The specific topics will include Algorithmic Thinking, object-oriented modelling, digital design ( Computational BIM ) and understanding of current data standards used in information modelling within the industry. Object Oriented Modelling (1) Basic Object Oriented Modelling (2) Unified Modelling Language Common BIM Interoperability Standards (1) Introduction to Common Data Representation Standards (2) Interoperability as the foundation of VDC (3) Introduction to Industry Foundation Classes (4) Modelling with EXPRESS and EXPRESS-G (5) COBIe for Facilities Management Algorithmic Thinking (1) Structure of Programs (2) Pseudocode and Flowcharts (3) Debugging Mechanisms The Computational BIM environment (1) Introduction to Visual Programming in BIM (2) Program Control (3) Data Manipulation
CE5808B Virtual Design & Construction: Moving Beyond BIM Dr Justin Yeoh Ker-Wei Virtual Design and Construction (VDC) features the integration and management of multidisciplinary Building Information Models (BIM). The goal of the course is to enable participants to understand the business value of VDC, and how it can be successfully applied to current infrastructure and building projects. Specifically the objective of the course is to expose participants to the core principles and methodologies of VDC. These include topics on Integrated Project Delivery, BIM quality, Lean Design Management, and process Mapping. BIM Enablers (1) Introduction to BIM & VDC (2) BIM and Information Management Standards (Level of Development) (3) BIM/VDC and Integrated Project Delivery BIM Quality Management (1) Elements of BIM Quality (2) Model Checking and Code Compliance Lean Design Management (1) Lean Design and Construction Management (2) Sources of Waste (3) Integration of BIM and Lean BIM Process Mapping and Planning (1) Process Mapping (2) Analysis of Processes
CE5603A Evaluating Economic Feasibility of Projects Associate Prof Chan Weng Tat This course enables participants to model the life cycle costs of projects and use it as the basis of sound economic decision making. It covers techniques to estimate and model project cashflows, account for the effect of interest rates, and make rational choices among competing alternatives for limited capital. Typical application scenarios include capital budgeting for equipment acquisition, rent-buy decisions, and determination of fees for capital cost recovery. 1. Capital and cost estimation Capital investment cost estimation; operating-cost estimation; cost capacity relationship; life-cycle costing; profitability studies; cost of capital 2. Cashflow discounting formulas Time value of money; concept of equivalence; interest formulas; nominal and effective interest rates; discrete and continuous discounting. 3. Basis for project evaluation Bases for comparison; key economic performance indicators; methods for project evaluation and selection; incremental analysis; types of investment proposals; project selection under different requirements; examples of cashflow analysis.
CE5603B Evaluating Economic Risks in Projects Associate Prof Chan Weng Tat This module builds on the concepts covered in the module Evaluating Economic Feasibility of Projects. It considers the effect of factors like risk, uncertainty, inflation, and foreign exchange in the modelling of project cashflows. The course introduces methods to undertake project sensitivity studies, and make decisions under conditions of risk and uncertainty. 1. Sensitivity analysis Identifying sensitive elements. Organizing sensitivity studies in cashflow models. Visualizing results. Scenario analysis. 2. Decision making under uncertainty Sources of project uncertainty. Modelling decisions under uncertainty. Decision making under uncertainty. 3. Decision making under risk Definition of risk. Differentiation from uncertainty. Modelling decisions under risk. Decision making under risk. Value of testing and information. 4. Inflation and foreign exchange Measuring inflation. Types of inflation. Accounting for the effect of inflation in cashflow models. Effect of foreign exchange.
CE5806A Advanced Project Management Prof David Chua Kim Huat This module aims to equip students with the concepts, methodologies and tools to successfully control a project on site. In particular, they will learn to organise, plan and schedule a project for execution, and put in place controls for schedule and cost. They will learn advanced planning functions that include schedule compression, delay analysis and risk management. 1. Project Planning Function of planning; network methods and computations; concept of floats; work breakdown structure; other scheduling methods; 2. Project Control Function of control; concept of earned value; project progress tracking; 3. Hands On MS Project 4. Advanced Planning Functions Resource levelling; schedule compression; planning multiple projects; delay analysis; 5. Risk Management PNET; Monte Carlo simulation method
CE5806B Lean Construction Management Prof David Chua Kim Huat This module aims to equip students with the concepts, methodologies and tools to successfully manage a project on site while achieving higher productivity. Lean construction concepts will dramatically improve performance by reducing waste, cost and increase value. Project plans can be made reliable with commitments from stakeholders. Students will learn to diagnose a construction process and devise strategies to increase productivity. 1. Foundations of lean principles: House of lean; identifying sources of wastes; enhancing value-adding; designing pull system; understanding takt time 2. Reducing wastes in construction Work flow diagnostics; understanding flows, bottlenecks and balance; value stream mapping; strategies for work flow improvement 3. Hands On Workflow analysis 4. Achieving plan reliability Traditional project perspective; understanding the control cube; getting to flow and plan reliability; last Planner methodology; addressing culture change 5. Hands On Lean PlanDo
CE5805A Construction Productivity Analytics Prof David Chua Kim Huat In a project, the selection of construction method and equipment are important considerations that can affect project productivity. In this context, this course gives an overview of construction planning with particular considerations for equipment selection and fleet size determination. It will examine productivity enhancement frameworks and technologies. Finally, the concepts of simulation to analyse and improve productivity will be taught via a hands-on application. 1. Construction Planning Factors affecting productivity; Plant and method selection; Buildability and constructability scores; Crane utilisation; 2. Equipment Planning and Sizing Cycle determination; Productivity calculations for fleet sizing; Subcycle balance; 3. Principles of Learning Curve Learning ratio; Effect of overtime; Effect of crew sizing (stacking effect); 4. Productivity Enhancement Technologies; 5. Construction Simulation: Data Collection, Modelling and Analysis.
CE5805B Design for Manufacture and Assembly Prof David Chua Kim Huat Design for Manufacture and Assembly (DfMA) aims at ease of manufacture and assembly efficiency in order to increase overall productivity in construction. With this design approach, waste can be eliminated, construction time can be reduced drastically and cost can be lowered. This course discusses the concepts of constructability and examines in detail the principles of DfMA from the perspective of manufacture and assembly. It also covers logistical considerations to realise just-in-time production and delivery. BIM and digital technologies will also be discussed. 1. Introduction to DfMA Concept of DfMA; Benefits and challenges; Performance measures; State of the art; 2. Constructability Concepts Concept of constructability; Constructability tools; DfMA principles; modularisation; 3. Principles for design for DfMA Design for manufacture; Design for assembly; 4. Logistical Planning and Considerations Smart logistics framework; Production planning; Transportation; Lifting considerations; 5. BIM and Technologies for DfMA BIM progression; BIM collaboration; Advanced manufacturing; Tracking technologies; 3D printing.
CE5807A Digital Technology & Analytics for Construction Dr Justin Yeoh Ker-Wei To realize the Integrated Digital Delivery (IDD) concept, a paradigm shift within the construction industry must take place. Embracing Digital technology is necessary as it is rapidly changing the face of construction. The objective of this module is to introduce students to the current state-of-the-art in terms of digital technology implementations in building and construction. This module will also introduce students to several data analytic techniques often used in conjunction with these digital technologies, to improve decision making on site. Data Acquisition Technologies: (1) Principles of Flight: Drones (2) 3D Laser scanning technology: Applications and Principles (3) Photogrammetry: Using cameras for surveys (4) 3D reconstruction using Point Clouds Visualisation Technologies: (1) Applications of Augmented Reality in Construction/Building Operations (2) Virtual Reality for Collaboration and Training Tracking Technologies: (1) RFID Deployment: Use Cases and Productivity gains Data Analytics: (1) Statistical Inference (2) Supervised and Unsupervised learning techniques (3) Time series analysis and forecasting
CE5807B Integrated Construction Logistics Dr Paul Ong As part of the Architectural, Engineering and Constructioin (AEC) industry s push towards Integrated Digital Delivery (IDD), logistics and subcontracting forms an integral part of realising this framework. In particular, this course looks at supply and demand planning for an agile and lean logistics, especially where digital technologies (such as collaborative platforms and RFIDs) can be leveraged. It also looks at management of subcontractors to improve project delivery. Specific topics on value engineering, smart logistics technologies, change management and value stream mapping will be covered to reduce cost and waste while delivering value in projects. 1. Logistics management in construction Towards agile and lean logistics; Standardisation and Pre-assembly; Materials delivery and handling; Waste management; International market considerations; 2. Value Engineering Materials, methods, transportation, site, engineering considerations; 3. Subcontracting Evaluation; Interface management; Manpower, equipment and sustainability considerations; Collaboration technologies; 4. Future of Construction Logistics (Smart Logistics) Consolidation centre concept; Change management; Value stream mapping; Smart Logistics technologies (e.g. RFIDs, collaboration platforms, etc)