5D Building Information Modeling
Description
A roadmap to 5D+ BIM implementation with a focus on real-world use cases
5D Building Information Modeling: A Data-Driven Approach to Construction Supply Chain Integration is a valuable guide for architectural, engineering, and construction professionals seeking to learn how to implement this technology to optimize work efficiency.
Beginning with a brief introduction to BIM and its history, the book highlights the unleveraged power of 5D+ in ameliorating the inefficiencies associated with fragmented construction supply chains. It covers the benefits of applying data-driven BIM to integrate supply chains and illustrates how the integration of 5D+ BIM serves as a technology, set of processes, and standardized classification system that streamlines the flows of information, material, and money.
- A thorough introduction to building information modeling with defined business value propositions
- Comprehensive case studies of 5D+ implementation and demonstrations of how structured data and standard practices can help increase efficiency
- A detailed roadmap and framework for BIM, including technology, standards, workflow processes, and contracts
- Complete treatments of emerging technologies and practices poised to transform construction supply chain management
Intended for architects, engineers, contractors, owners, facility managers, suppliers, manufacturers, and consultants, 5D Building Information Modeling will also benefit academics, undergraduate and graduate students studying related fields.
More details
Other editions
Additional editions
Person
Pardis Pishdad, PhD, is a Professor at Georgia Tech, in the College of Design, School of Building Construction, and a globally recognized scholar in Integrated Project Delivery (IPD), collaboration and trust-building, Building Information Modeling (BIM), and technological integration.
Dr. Pishdad is the founder and director of the Smart Built-Environment Ecosystem (Smart BEES) Lab, which conducts research at the intersection of cyber, physical, and behavioral systems. Her work focuses on integrating data, processes, and stakeholders across the project life cycle to improve efficiency and enable the sustainable design, construction, and operation of smart built environments. Her scholarly publications examine ways to enhance productivity through integration, digitalization, industrialization, and automation.
Dr. Pishdad holds a PhD in Environmental Design and Planning from Virginia Tech and master's degrees in civil engineering (Virginia Tech), design studies with a focus on project management (Harvard University), and architecture (University of Tehran).
Series Editor Dennis Shelden, PhD, is an expert in the application of digital technology to building design, construction, and operations. He is a Director of CASE and an Associate Professor in the School of Architecture at Rensselaer.
Content
CHAPTER 1: INTRODUCTION 9
1.1 Overview, Purpose, and Structure of the Book 9
Guiding Questions 10
1.2 Construction Industry and Its Current State of Inefficiency 10
1.3 Productivity Booster and Opportunities for Improvement 11
1.4 Significant Role of Construction Supply Chain Integration in Construction Productivity 12
1.5 Role of BIM in Enhancing Supply Chain Integration and Boosting Productivity 13
1.6 Construction Supply Chain Integration (CSCI) 14
1.7 Main Research Areas of Construction Supply Chain Integration 16
1.7.1 Adoption of Manufacturing Theories 16
1.7.2 Benefits of Construction Supply Chain Integration 16
1.7.3 Successful implementation 16
1.7.4 Digitization and utilization of Information and Communications Technology 16
1.7.5 Contract and relationship governance 17
1.7.6 Sustainability 17
1.8 Discussion and Conclusion 17
CHAPTER 2: BACKGROUND OF CONSTRUCTION SUPPLY CHAIN MANAGEMENT, PROBLEMS, AND FRAMEWORK OF POTENTIAL SOLUTIONS 19
Guiding Questions 19
2.1 Construction Supply Chain Management: Definition and Significance 19
2.1.1 Definition of Construction Supply Chain Management 19
2.1.2 Significance 19
2.2 Construction Supply Chain Issues: Broken Supply Chain of Data, Products, and Money 20
2.2.1 Lack of Accessibility to Data 20
2.2.2 Lack of Traceability of Products in the Supply Chain 20
2.2.3 Dis-connectivity of Payment Application & the Single Source of Truth 20
2.3 Solution for Seamless Flow of Data, Products, and Money 21
2.3.1 Flows in the Construction Supply Chain 21
2.3.2 Achieving Seamless Data Flow 22
2.3.3 Achieving Seamless Product Flow 48
2.3.4 Achieving Seamless Money Flow 50
2.3.5. Achieving Construction Supply Chain Integration 51
2.4 BIM Addressing Supply Chain Challenges 52
2.4.1 Definition of BIM 52
2.4.2 State of BIM Adoption 53
2.5 Future Vision: A Framework for Integrated Supply Chain Empowered by Emerging Technologies, like Blockchain, IoT, GIS 54
2.5.1 Learning from Other Industries: Models for Integration 54
2.5.2 Why BIM Matters in the Supply Chain 55
2.5.3 The Evolving Role of the CM/GC: From Coordinator to Data Merchant 55
2.5.4 BIM Implementation Maturity: From Chaos to Civilization 55
2.5.5 Asset Tracking, Naming Conventions, and Systematic Templates 55
2.5.6 A Cultural Shift Driven by Value 55
2.5.7 What Gets Measured Gets Managed: Feedback and Continuous Improvement 55
2.5.8 What Gets Measured Gets Managed: Performance Feedback and Learning 56
2.5.9 Program Validation and Budget-Driven Design: A Lifecycle Approach 56
2.6 Discussion and Conclusion 57
CHAPTER 3: 5D BIM CURRENT STATE OF ART AND PRACTICE 59
Guiding Questions 59
3.1 Applicable Industry Standards for 5D BIM 59
3.1.1. Industry Foundation Classes (IFC) 61
3.1.2. Level of Development (LOD) 62
3.1.3. The buildingSMART Data Dictionary (bsDD) 62
3.1.4. Information Delivery Manual (IDM) 62
3.1.5. Model View Definitions (MVD) 63
3.1.6. Rules of Measurement 63
3.1.7. Classification Systems 64
3.2 Key Resources and Collaborative Implementation 66
3.2.1. BIM Costing Library 66
3.2.2. BIM Object Library 66
3.2.3. 5D BIM Collaborative Implementation 66
3.3 Integrated Benefits of 5D BIM 67
3.4 5D BIM State of the Practice: Study of Three 5D BIM Tools 68
3.4.1. RIB iTWO/ MTWO 68
3.4.2. Destini Profiler 70
3.4.3. Vico Office 71
3.4.4. Synthesis of Common Practices vs. Case Studies 73
3.5 Pathways to Full Automation in 5D BIM 74
3.6 Discussion and Conclusion 75
CHAPTER 4: LIFE CYCLE IMPLEMENTATION OF 5D BUILDING INFORMATION MODELING 76
Guiding Questions 76
4.1 Introduction 76
4.2 5D BIM cost estimation during preconstruction 76
4.2.1 Detailed cost estimation and bill of quantities 77
4.2.2 5D BIM cost control during construction and manufacturing 77
4.2.3 5D BIM as-built cost data recording postconstruction 77
4.3 Implementation guidelines for 5D BIM 78
4.3.1 5D BIM implementation in the United States 78
4.3.2 5D BIM implementation in the United Kingdom (UK) 79
4.4 Data collection methodology 80
4.5 Case Studies 81
4.6 Case Study 1 82
4.6.1 Cost Estimating 82
4.6.2 Cost data 83
4.6.3 Mechanisms for quality Control 84
4.6.4 Multidisciplinary model 84
4.6.5 Cloud-based software/ Collaboration with Stakeholders 84
4.6.6 Guidelines for implementation of 5D BIM 84
4.6.7 Cost control during design and construction 85
4.6.8 Interoperability of Pay applications 85
4.6.9 Challenges Encountered in 5D practice 86
4.7 Case Study 2 87
4.7.1 Cost estimation 88
4.7.2 Cost data 88
4.7.3 Mechanisms for quality Control 88
4.7.4 Multidisciplinary model 88
4.7.5 Cloud-based software/ Collaboration with stakeholders 89
4.7.6 Guidelines for implementation of 5D BIM 89
4.7.7 Cost control during design and construction 89
4.7.8 Interoperability of pay applications 90
4.7.9 Challenges Encountered in 5D practice 90
4.8 Case Study 3 91
4.8.1 Cost estimation during conceptual design 92
4.8.2 Cost data 92
4.8.3 Mechanisms for quality Control 93
4.8.4 Multidisciplinary model 93
4.8.5 Cloud-based software 93
4.8.6 Cost control during design and construction 93
4.8.7 Interoperability with pay applications 94
4.8.8 Challenges Encountered in 5D practice 94
4.9 Case Study 4 95
4.9.1 Cost estimation during conceptual design 95
4.9.2 Cost data 96
4.9.3 Mechanisms for quality Control 96
4.9.4 Multidisciplinary model 96
4.9.5 Cloud-based software 96
4.9.6 Cost control during design and construction 96
4.9.7 Interoperability with pay applications 97
4.9.8 Challenges Encountered in 5D practice 97
4.10 Case Study 5 97
4.10.1 Cost estimation during conceptual design 97
4.10.2 Cost data 98
4.10.3 Mechanisms for quality Control 98
4.10.4 Multidisciplinary model 98
4.10.5 Cloud-based software 98
4.10.6 Cost control during design and construction 98
4.10.7 Interoperability with pay applications 99
4.10.8 Challenges Encountered in 5D practice 99
4.11 Case Study 6 99
4.11.1 Cost estimation during conceptual design 99
4.11.2 Cost data 99
4.11.3 Mechanisms for quality Control 100
4.11.4 Multidisciplinary model 100
4.11.5 Cloud-based software 100
4.11.6 Cost control during design and construction 100
4.11.7 Interoperability with pay applications 100
4.11.8 Challenges Encountered in 5D practice 100
4.12 Synthesis of Case Studies 101
4.13 Findings and Discussions 101
4.13.1 Results 102
4.13.2 Future studies and recommendations 104
CHAPTER 5: CASE STUDIES FOR IMPLEMENTING 5D BIM 106
Georgia Tech Campus Center Case Study 106
Guiding Questions: 106
5.1 Project overview 106
5.1.1 Contractual provisions to facilitate implementation of 5D BIM 106
5.2 Overview of adopted BIM software 107
5.2.1 BIM applications during the design phase 107
5.2.2 BIM applications during the pre-construction and construction phase 107
5.2.3 BIM tools used for close-out and BIM handover to facilities management team. 107
5.3 BIM model development 107
5.3.1 Workflows 107
5.3.2 Standards & guidelines followed 110
5.3.3 Integration of Supply chain data 111
5.4 Quantities extraction 111
5.4.1 Model creation and import 111
5.4.2 Rules of measurement 111
5.4.3Cost database 111
5.4.4Mapping of objects to cost 111
5.4.5 Classification systems 111
5.4.6 Non-modeling cost items 112
5.4.7 Costing 112
5.4.8 Collaboration 112
5.5 Cost Adjustments and quality control 112
5.5.1 Cost adjustments due to changes 112
5.5.2 Cost monitoring during construction 112
5.5.3 Mechanisms for quality control 112
5.6 Pay applications 112
5.6.1 Pay applications and accounting systems used 113
5.6.2 Interoperability of pay application software with 5D BIM software 113
5.6.3 Comparison of actual cost to initial cost estimated 113
5.7 Evaluation of software 113
5.7.1 Cost estimation during conceptual design 113
5.7.2 Detailed Cost Estimating and Bill of Quantities 113
5.7.3 Cost control during design and construction 113
5.7.4 As-built cost data recording post installation 114
5.7.5 Operation and maintenance cost data 114
5.8 Challenges and benefits 114
5.8.1 Challenges 114
5.8.2 Value Proposition 114
5.8.3 Cost involved 115
5.8.4 Benefits 115
5.9 Findings and lessons learned 116
New Slussen Project Case Study 117
5.10 Project overview 117
5.11 Project location 118
5.12 BIM design for project (Amin, 2020) 120
5.13 Overview of adopted BIM software 121
5.13.1 BIM applications during the design phase 121
5.13.2 BIM applications during the pre-construction and construction phase 121
5.13.3 BIM tools used for close-out and BIM handover to facilities management team. 121
5.14 BIM model development 122
5.14.1 Workflows 122
5.14.2 Standards & guidelines followed 126
5.15 Quantities extraction 126
5.15.1 Model creation and import 126
5.15.2 Expertise Required for 5D BIM 126
5.15.3 Rules of measurement 127
5.15.4 Cost database 127
5.15.5 Mapping of objects to cost 127
5.15.6 Classification systems 127
5.15.7 Non-modeling cost items 127
5.15.8 Costing 127
5.15.9 Collaboration 128
5.16 Adjustments and quality control 128
5.16.1 Cost adjustments due to changes preconstruction 128
5.16.2 Cost monitoring during construction 128
5.16.3 Mechanisms for quality control 129
5.17 Pay applications 129
5.17.1 Pay applications and accounting systems used 129
5.17.2 Interoperability of pay application software with 5D BIM software 129
5.17.3 Comparison of actual cost to initial cost estimated 130
5.18 Evaluation of software 130
5.18.1 Cost estimation during conceptual design 130
5.18.2 Detailed Cost estimating and bill of Quantities 130
5.18.3 Cost control during design and construction 130
5.18.4 As-built cost data recording post construction 130
5.18.5 Operation and maintenance cost data 130
5.19 Challenges and benefits 130
5.19.1 Challenges 131
5.19.2 Benefits 131
CHAPTER 6: VALUE PROPOSITION OF 5D BIM 132
Guiding Questions 132
6.1 Summary 132
6.2 Introduction 132
6.3 Value proposition of 5D BIM to project stakeholders 132
6.3.1 Owners 132
6.3.2 Architects and Engineers 133
6.3.3 Estimators 133
6.3.4 Suppliers 133
6.3.5 Contractors 134
6.3.6 Manufacturers 134
6.4 Value proposition of 5D BIM in Supply Chain Integration 134
6.4.1 Information flow 134
6.4.2 Materials procurement and product flow 135
6.4.3 Cash flow and Payments 136
6.5 Case studies Highlighting Value Proposition of 5D BIM 136
6.5.1 Case Study I: The New Slussen Project 136
6.5.2 Texas Health Mansfield Hospital Case Study 138
6.5.3 Georgia Tech Campus Center Case Study 139
6.6 Conclusion 140
CHAPTER 7: BLOCKCHAIN-ENABLED 5D BIM FOR CASH FLOW AND DATA SHARING 142
Guiding Questions 142
7.1 Leveraging Blockchain and Smart Contracts to Solve Payment Delays 142
7.1.1 Blockchain Smart Contracts for Expediting Construction Payments 142
7.1.2 Inefficiencies in Traditional Construction Payment Workflows 143
7.1.3 Integrated 5D BIM + Smart Contract Architecture 144
7.2 Blockchain-Enabled Smart Contracts Integrated with 5D BIM 146
7.2.1 Integrated 5D BIM + Smart Contract Architecture 146
7.2.2 Payment Trigger Mechanisms from BIM Models 147
7.2.3 Industry Prototypes and Frameworks 148
7.3 Blockchain for Secure BIM Data Sharing 149
7.3.1 Challenges in Data Sharing Across Construction Supply Chains 149
7.3.2 Blockchain Characteristics that Enable Trusted Exchange 150
7.3.3 Frameworks for Secure Data Sharing 151
7.4 Applications and Real-World Implementations 154
7.4.1 Use Cases Across the AEC Industry 154
7.4.2 Current Trends, Standards, and Research Prototypes 155
7.5 Discussion and Conclusion 157
7.5.1 Integrating Trust with Process Efficiency 157
7.5.2 Challenges and Limitations 157
7.5.3 Emerging Research Directions 158
7.5.4 Future Practical Implementations 158
CHAPTER 8: CONCLUSION ON INTEGRATED COST MANAGEMENT WITH 5D BIM 159
Guiding Questions 159
8.1 Integration and Automation of Cost Management in 5D BIM: Practices, Technologies, and Future Directions 159
8.2 Discussion and Conclusion 162
8.2.1 Integration of 5D BIM in Cost Management Throughout the Project Lifecycle 162
8.2.2 Automation and Interoperability: Current State and Future Prospects 162
8.2.3 Case Study Insights: Lessons Learned from 5D BIM Implementation 163
8.2.4 Value Proposition of 5D BIM for Stakeholders 163
8.2.5 Overcoming Barriers and Recommendations for Practice 164
8.2.6 Future Directions: Toward Fully Integrated and Automated 5D BIM 164
REFERENCES 165
