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5D Building Information Modeling : Data-Driven Construction Supply Chain Integration
5D Building Information Modeling : Data-Driven Construction Supply Chain Integration
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Author(s): Pishdad-Bozorgi, Pardis
Pishdad, Pardis
ISBN No.: 9781119705758
Pages: 160
Year: 202609
Format: Trade Paper
Price: $ 77.03
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

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.


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