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B
Berard, O. & Fischer, M. A Study of Handling Design Information in Construction Companies. (2011). at <https://purl.stanford.edu/fn366by5583>
Berring, B. & Ung, D. A Methodology for Environmentally Informed Decision-Making: Towards Sustainable Projects. (2003). at <https://purl.stanford.edu/sc880by5645>
Binford, T., Chen, T., Kunz, J. & Law, K. Computer Interpretation of Process and Instrumentation Diagrams. (1997). at <https://purl.stanford.edu/dg595yz4168>
Bjornsson, H., Crow, R. & Huntington, H. International Comparisons of Electricity Restructuring: Considerations for Japan. (2004). at <https://purl.stanford.edu/fj103cc9037>
Blum, E., Giarrusso, F., Zorovic, S. & Tatum, C. B. Decision Analysis Techniques for Integration Technology Decisions. (1994). at <https://purl.stanford.edu/sp252xp4662>
Brosque, C., Galbally, E., Khatib, O. & Fischer, M. Human-Robot Collaboration in Construction: Opportunities and Challenges. 2020 International Congress on Human-Computer Interaction (IEEE, 2020). doi:10.1109/HORA49412.2020.9152888
Brosque, C. et al. Collaborative Welding and Joint Sealing Robots With Haptic Feedback. 2021 Proceedings of the 38th ISARC, Dubai, UAE (ISARC, 2021). doi:https://doi.org/10.22260/ISARC2021/0003
Brosque, C. et al. Comparison of Construction Robots and Traditional Methods for Drilling, Drywall, and Layout Tasks. 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (2020). doi:10.1109/HORA49412.2020.9152871
Brosque, C., Skeie, G. & Fischer, M. Comparative Analysis of Manual and Robotic Concrete Drilling for Installation Hangers. Journal of Construction Engineering and Management 147, (2021).
Burton, R. M. & Obel, B. The Validity of Simulation Models in Organizational Science: From Model Realism to Purpose. (1994). at <https://purl.stanford.edu/rg890yf3913>
C
Caloud, P., Choi, W., Latombe, J. - C., Le Pape, C. & Yim, M. Indoor Automation with Many Mobile Robots. (1992). at <https://purl.stanford.edu/ph142bh2282>
Castillo, R. & Chung, N. Chi. The Value of Sustainability. (2004). at <https://purl.stanford.edu/ny111sn1380>
Castillo, R. & Chung, N. Chi. Construction, Coordination, Innovation. (2004). at <https://purl.stanford.edu/df113dp8279>
Chachere, J., Levitt, R. & Kunz, J. Can You Accelerate Your Project Using Extreme Collaboration? A Model Based Analysis. (2003). at <https://purl.stanford.edu/sd007yg8399>
Chachere, J. & Haymaker, J. Framework for Measuring Rationale Clarity of AEC Design Decisions. (2008). at <https://purl.stanford.edu/fm497vr4971>
Chachere, J. Quantitative Method for Analyzing Engineering Defect Risks in Novel Projects. (2009). at <https://purl.stanford.edu/qh238bh8552>
Chachere, J., Kunz, J. & Levitt, R. Observation, Theory, and Simulation of Integrated Concurrent Engineering: Grounded Theoretical Factors that Enable Radical Project Acceleration. (2004). at <https://purl.stanford.edu/mt071hz7530>
Chachere, J. Coordination, Decision Analysis, Design, Organization Models, Planning, Process Models, Product Models, Risk Analysis, Simulation, VDT, Virtual Design Team. (2004). at <https://purl.stanford.edu/dv294pz2005>
Chachere, J. Causes and Effects of Rationale Clarity in the AEC Design Industry. (2009). at <https://purl.stanford.edu/qk265gz2370>
Chachere, J. Observation, Theory, and Simulation of Integrated Concurrent Engineering: Grounded Theoretical Factors and Risk Analysis Using Formal Models. (2009). at <https://purl.stanford.edu/bt714bw6192>
Chachere, J. Design Project Optimization. (2004). at <https://purl.stanford.edu/yz806ts5247>
Chachere, J., Kunz, J. & Levitt, R. Observation, Theory, and Simulation of Integrated Concurrent Engineering: Risk Analysis Using Formal Models of Radical Project Acceleration. (2004). at <https://purl.stanford.edu/dq405zf4697>
Chachere, J. Improving Project Performance by Predicting Engineering Impacts on Operations Failure Risks Using a Quantitative Model of Product, Organization, Process, and Environment. (2005). at <https://purl.stanford.edu/zz183dr4753>
Chachere, J., Kunz, J. & Levitt, R. The Role of Reduced Latency in Integrated Concurrent Engineering. (2009). at <https://purl.stanford.edu/bd089dx8723>
Chai, E. & Murmann, B. Machine Learning Hardware Case Study for Smart Buildings. (2020). at <https://purl.stanford.edu/rj953fk8222>

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