Summary for CIFE Seed Proposals for Academic Year 2015-16
Proposal number: 2015-07
Proposal title:
Principal investigator(s) and department(s):
Parts-enabled Approaches for Software Developers, Project Engineers, and Construction Workers
Martin Fischer
Research staff: Calvin Kam, Jacqueline Lo (MS. in SEG), Nanyu Zhao (Eng. in DCI)
Total funds requested: $ 61,146
Project URL for continuation proposals http://cife.stanford.edu/ManagingConstructionParts
Project objectives addressed by proposal
Buildable
Expected time horizon 5-10 years
Type of innovation
Abstract
(up to 150 words)
Breakthrough
The problem: the AEC 1 industry needs a leading indicator to evaluate industrialized construction productivity.
The proposed solution: develop a project-based Industrialized
Construction Index (ICI) around the part concept as the leading indicator.
Use the number of parts in a project and part-related information to quantify construction effort at before construction starts, evaluate the degree of industrialization, and identify opportunity to improve production techniques.
The proposed research approach: (1) extract KPIs 2 (about production cost and schedule) from multiple industrialized construction projects and link them to parts; (2) evaluate construction effort using parts and part-related
KPIs as the base of an ICI; compare the expected construction efforts of different production techniques to test the effectiveness of the ICI; (3) provide ICI specifications, which include manuals for software developers to identify parts and part-related KPIs, guides for project engineers to evaluate construction productivity, and suggestions for construction workers to conduct their part-related daily work.
1
2
Architecture, Engineering and Construction
Key Performance Indicator
1 Research Background
This Seed proposal is a continuation of last year’s CIFE Seed proposal – Managing
Construction Parts. Last year, we defined and developed the concept of a construction part to create a general unit for building products. This year we plan to continue the research by applying the part concept to more construction projects and creating an industrialized construction index (ICI) to support evaluation of construction efforts in AEC projects.
The key results from previous research include:
• Defined a construction part as “any entity that requires an act of installation to become a component in the final building”
• Quantified part by linking it to installation working cycle; one part takes one working cycle to be installed
• Explored part-‐related classifications and attributes; developed methodology to estimate the number of parts in a project
We also tested our definition of a part on multiple cases, including a seven-‐floor hotel with
420 guest rooms, an office renovation project, and a hospital project with prefabricated bathroom pods. In addition to proving the robustness of our part concept, these cases demonstrated that:
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A big discrepancy exists between the number of identified components in BIM and the actual parts on a construction site. This discrepancy indicates incomplete design and might cause unnecessary RFIs during construction. (E.g. in the hotel case, there are 11,000 components in BIM and 3.2–4.6 million parts)
• Early decisions on part type and installation methods have a large impact on the total number of parts in a project; the range of the estimated number of parts tends to narrow as the project develops. (E.g. in the office project, using brick for the exterior walls has 4 times more total number of parts than using fresh concrete)
• Prefabrication can greatly reduce the number of parts on-‐site, thereby shifting work from on-‐site to off-‐site, improving quality and safety. (E.g. 440 prefabricated bathroom pods reduced parts on-‐site by 98% (from 1.7 million to 25,000) and shortened the schedule by 7%)
The part concept enables construction professionals to have a basic metric for building products. By using our definition, the Architecture, Engineering and Construction (AEC) industry would have a common way to measure and quantify building parts across different trades and projects. While our previous work laid down the theoretical foundation, we will continue our research and use the part concept in project management. We propose to develop an industrialized construction index (ICI) that will support the “buildable” of AEC projects by providing:
• Software developers with the ability to identify part and part-‐related information
• Project engineers with standardized metrics to evaluate construction productivity
• Construction workers with suggestions about their daily work regarding parts
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2 Theoretical and Practical Points of Departure
Previous Research around the Part
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The part research is inspired by the fact that our industry doesn’t have a comprehensive understanding of the project’s products. In contrast, in the aerospace industry both Boeing and Airbus know that their 747 and
A380 jumbo jets have about 6 million parts each 3 . Using this knowledge, they are able to develop a tight and
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Liquid%Part% Tool% efficient supply chain and generate clear assembly instructions 4 . Successful strategies such as Design for Manufacturing and Assembly (DFMA) in the manufacturing industry are also based on the study of project parts. Therefore, we believe that by clearly defining a construction part, collecting and organizing part-‐related building information, the AEC professionals could be able to better evaluate a project’s design, its delivery method, and construction strategies.
In the past we have defined a construction part, developed methodology to quantify and classify parts, and conducted study cases. Based on these findings, this year we plan to make the part research more actionable in project management. We will test the benefit of part-‐ enabled management approaches, and provide specifications for project participants to use the part concept. In particular, we focus on three disciplines: the software developers who create virtual representations of parts, the project engineers who determine and use the part-‐related building information, and the construction workers who install the physical parts.
Prefabrication
Prefabrication is able to shorten a project’s schedule, cut cost and budget, and improve site safety 5 . In 2011, 85% of US construction companies are already doing some prefabrication on their projects 5 . However a survey shows that about 40% of the industry players do not analyze the Return on Investment (ROI) before they start to do prefabrication, and 25% of respondents never analyze their prefabrication efficiency 6 . It is clear that the AEC industry needs better metrics to evaluate prefabrication strategy in a standardized manner. As for now, a lot of the companies work out prefabrication ideas by themselves, and the top challenge lies in predicting if the prefabrication ideas will work and save time and money 6 .
3 http://www.cnn.com/2013/04/16/travel/lufthansa-747-8-intercontinental/ http://www.bbc.com/news/business-25833264
4 http://www.cortona3d.com/system/files/121/original/cortona_rapid_author_teamcenter-pdf.pdf
Airbus can now produce an aircraft made of 7 million parts in approximately 6 hours. https://www.imperial.ac.uk/alumni/Document.Doc?id=265
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Prefabrication and Modularization: Increasing Productivity in the Construction Industry http://www.nist.gov/el/economics/upload/Prefabrication-Modularization-in-the-Construction-Industry-SMR-2011R.pdf
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Prefabrication and Modularization in Construction 2013 SURVEY RESULTS http://www.fminet.com/media/pdf/report/PrefabricationSurvey2013.pdf
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Our previous work showed that the number of parts on-‐site will reduce when a project is doing prefabrication; and the part-‐related information (such as type, complexity, and installation method) can indicate construction efforts. Therefore, the part concept can be used to measure the degree of prefabrication, and quantify the construction effort for a given project. Using part to evaluate potential prefabrication efficiency will be one of our research topics in the part-‐enabled approaches for project engineers this year.
Design for Manufacturing and Assembly (DFMA)
DFMA is the method of designing a product to be easily manufactured and assembled, while keeping the original product function 7 . Manufacturing projects with DFMA have around
50% fewer parts, 50% shorter cycle time, 40% less material and labor cost, and are 60% more reliable 8 . The principals of DFMA include standardizing and minimizing product parts, and encouraging modular design; the DFMA process requires thorough analysis on each individual part and the collaboration of multi-‐disciplines.
The traditional AEC project delivery does not have a DFMA process. Although this year’s part research will not focus on the means or methods of DFMA, the research will provide potential DFMA targets in a construction project. The number of parts and effort required to build a part will indicate the labor-‐intensive parts, in other words, potential DFMA targets. One of our suggestions to the construction workers will be to alert them the labor-‐intensive parts in their work; this information may contribute to future DFMA study in a construction project.
3 Research Methods and Work Plan
The AEC industry does not have a standardized leading indicator to evaluate construction productivity. The construction productivity index calculates productivity on an industry scale, but it is a lagging indicator as it shows productivity of the past. The MacLeamy Curve shows that the ability to impact a project reduces as project moves on, but it is difficult to quantify the actual degree of impact. A project independent index that roughly evaluates productivity in the upcoming project phases can be very useful. For example, such index can help the 25% of survey respondents to analyze their prefabrication efficiency.
Because the number of parts in a project affects construction efforts, and parts in different projects are generally similar, the part concept can support such leading indicator. Therefore, this year we intend to develop a project-‐based ICI around the part concept as the leading indicator. We plan to use the number of parts in a project and part-‐related information to quantify construction effort before construction starts, evaluate the degree of prefabrication and industrialization, and identify opportunities to improve production techniques. Our work plan includes the following steps:
7
Molloy, O., S. Tilley, and E. A. Warman. "Design for manufacturing and assembly." Springer Science & Business Media (1998)
8
Cutting time and cost with DFMA http://web.mit.edu/meeker/Public/CuttingtimeandcostwithDFMA.pdf
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Study Industrialized Construction Cases Using the Part Concept
This research will engage with Stanford class CEE 212B; work closely with guest speakers, visiting professors, and other industry members to collect industrialized construction case studies. Our study will focus on the industrialized construction strategies and innovative production techniques in these cases. We will extract Key Performance Indicator (KPI) from each case (mainly about cost and schedule in production or construction phases). Meanwhile, we will analyze the cases using the part concept; study the number of parts, the types of parts, and the part-‐related information in different project phases.
The team plans to link the KPIs with corresponding parts and quantify those part-‐related
KPIs. For example, in the prefabricated hospital bathroom pod case study, the prefabrication affected the material cost, labor cost, construction schedule, overhead cost, safety, and risk cost; all these factors are potential KPIs. We also estimated the number of parts in each bathroom pod (prefabricated or built on-‐site). Therefore, we were able to obtain the cost and schedule saving per part for the prefabricated bathroom pods. In this year, we will get more part-‐related KPIs from the case studies, link them with parts to calculate the part-‐based project cost, schedule, construction efforts, etc.
Develop and Test the Industrialized Construction Index (ICI)
Using the results from case studies, we can get a list of part-‐related KPIs and their industrialized construction use cases. By integrating these part-‐related KPIs and other part information, we will create the base for a project ICI. The ICI will contain a part, its type and major attributes, the KPIs about its cost and schedule, the connections between these information, and the impacts these metrics have on project productivity. For example, by comparing the number of prefabricated parts and built on-‐site parts, we can measure the degree of prefabrication of a project; by comparing the number of designed parts and estimated parts, we can quantify the percentage of design completion; and by studying the construction schedule of different parts, we can help the project to focus on prefabrication and parts-‐reduction in the most effective manner.
After the part-‐related KPIs are collected and some ICI use cases established, we will test the effectiveness of the ICI. This will be done by using the ICI to evaluate the construction efforts in one or more test projects with different production techniques, and then comparing the results with actual outcome or asking the industry professionals for feedback.
Provide Specifications of Industrialized Construction Index (ICI)
Finally we will prepare specifications for industry professionals to use the part concept and the industrialization construction index in their projects. There will be three major components:
(1) manuals for software developers to identify a part, quantify parts, and consider part-‐related information and KPIs; (2) guides for project engineers to use the industrialization construction index to evaluate construction productivity and judge project performance; (3) suggestions for
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construction workers to conduct daily work, including list of parts to be installed, and recommended construction techniques provided by project engineers.
4 Expected Results: Findings, Contributions, and Impact on Practice
The major deliverables for this year’s part research are the ICI and its specifications for software developers, project engineers, and construction workers. In addition to that, we will generate reports of the industrialized construction study cases, and use the part concept to compare and contrast the projects’ performance. Meanwhile, we will continue to refine the part concept and the part counting methodology to make it more robust and easy to use.
The ICI we proposed will support the “buildable” of AEC projects. It contains generalized
KPIs from various industrialized construction projects, and it turns the part concept to a leading indicator for evaluating construction effort and productivity. Using the ICI, we can evaluate the prefabrication performance from the bathroom pod case, and apply it to analyze the prefabrication strategies of other projects and other parts. Expected benefits of this proposal are as follow:
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The knowledge to understand construction projects in the “language” of parts
The ability to guide design using industrialized construction experience; measure design completion in a systematic ways
The method to measure construction efforts at an early stage, and a mean to evaluate the effectiveness of prefabrication and other building techniques
The channel/media to provide more information to assist construction, avoid unnecessary rework and RFIs
The potential to use other innovative construction strategies, lay down the foundation for future DFMA process in construction projects
This research is a breakthrough innovation in that it provides a new aspect to understand and manage construction project: the part aspect. The ICI has the potential for further development; applications for software developers, project engineers, and construction workers can be joined together to assist the decision-‐making of a project manager. If our research in this year successfully demonstrates that the part can be the leading indicator of construction productivity, it is estimated that it may take 5-‐10 years or longer for the whole industry to adopt the part concept and use it in practice. Therefore, this is a long-‐term research; we will seek
partnerships with CIFE members, industry professionals, and software developers to continue our research in the future.
5 Research Milestones, Risks
This part research is currently in progress at both Stanford and Shanghai. Some of the milestones are summarized below:
• Mid June 2015: summarize CEE 212B class, generate cast study reports
• September 2015: part-‐related KPI list, manuals for software developers to quantify parts
• Dec. 2015: develop and test the ICI, provide a ICI frame
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• June 2016: completed the ICI specifications
One potential risk for this research is that not all KPIs can be standardized and integrated around the part concept. To mitigate the risk we plan to expand the part concept further to include more classifications and part types, therefore it will be easier to categorize different KPIs and incorporate them into the part concept. Meanwhile, we shall recognize other non-‐part-‐ related KPIs, admit that they are not included in the ICI, and point out those specific KPIs that based on other factors in a project, such as people, environment, and regulation.
Another risk is how to develop the ICI specifications so that they are consistent, easily understood by different disciplines, and can be applied to BIM software. To avoid this problem we shall keep in mind to develop the part concept and ICI in a simple form. In terms of the part concept, we will avoid using too many new terms or definitions; and try to use existing concepts when possible. In terms of the specifications, we shall provide use cases for different scenarios;
and ask industry professionals and software developers for comments.
6 Industry Involvement and Next Steps
Continuing the successful partnership from past years, this is a collaborative research between Stanford University, Walt Disney Imagineering (WDI) Disney Research China, Tongji
University, and industry collaborators. Walt Disney Imagineering has been an active member driving this research, providing CIFE researchers access to the WDI projects in both US and
China. Researchers from Tongji University in Shanghai have been working on this Seed Project in Disney Research China since the summer of 2013. Many interesting research findings are made through peer review and critic between Stanford and Shanghai.
More engagement from CIFE members will come through Stanford Class CEE 112/212B;
Stanford students will be able to study industrialized construction cases provided by CIFE members using the part concept during class. We have made connection with multiple CIFE members interested in this research: Autodesk, Bentley, Glodon, Mortenson, Strategic Building
Innovation, etc. They will provide additional opportunities to test and refine our ICI. Visiting professors from Brazil and United Kingdom will also offer help and feedback to our research.
We will also work with any interested CIFE members or industry contacts that wish to be involved with the seed project research.
Should the research in this coming year successfully demonstrate the effectiveness of the
ICI; we will seek additional funding to expand the part concept and the ICI to support project management and optimization. In a part-‐enabled project optimization scenario, project manager should be able to optimize the construction process and techniques based on the expected construction effort obtained from part and ICI analysis. The next step of our research will focus on examining such optimization process and applying it to practical.
7 Budget
Total funds requested: $61,146.
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