IGLC.net EXPORT DATE: 3 April 2025 @CONFERENCE{Chen2023, author={Chen, Gongfan and He, Chuanni and Hsiang, Simon M. and Liu, Min and Li, Huaming }, editor={ }, title={A Mechanism for Smart Contracts to Mediate Production Bottlenecks Under Constraints}, journal={Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)}, booktitle={Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)}, year={2023}, pages={1232-1244}, url={http://www.iglc.net/papers/details/2116}, doi={10.24928/2023/0179}, affiliation={PhD Candidate, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC, USA, gchen24@ncsu.edu, orcid.org/0000-0003-1935-2949 ; 2 Postdoctoral Researcher, Dept. of Civil and Environmental Engineering, Syracuse University, Syracuse, NY, USA, che117@syr.edu, orcid.org/0000-0002-0482-6243 ; Professor and Department Chair, Dept. of Systems Engineering and Engineering Management, Univ. of North Carolina at Charlotte, Charlotte, NC, USA, shsiang1@uncc.edu, orcid.org/0000-0003-3224-9137 ; Carolina at Charlotte, Charlotte, NC, USA, shsiang1@uncc.edu, orcid.org/0000-0003-3224-9137 4 Professor, Department of Civil and Environmental Engineering, Director, Syracuse University Infrastructure Institute, College of Engineering & Computer Science, Syracuse University, Syracuse, NY, USA, minliu92@syr.edu, orcid.org/0000-0002-3070-7109 ; Carolina at Charlotte, Charlotte, NC, USA, shsiang1@uncc.edu, orcid.org/0000-0003-3224-9137 4 Professor, Department of Civil and Environmental Engineering, Director, Syracuse University Infrastructure Institute, College of Engineering & Computer Science, Syracuse University, Syracuse, NY, USA, minliu92@syr.edu, orcid.org/0000-0002-3070-7109 }, abstract={Central project managers devote massive efforts to monitor, track, coordinate, and take actions to diagnose and prognose governed constraints and remove them to enable a reliable workflow. The blockchain-enabled smart contract can streamline the work process by predefining “intelligent” consensus to facilitate central managers’ jobs. However, the inability of smart contracts to handle unexpected events under complicated environments posited challenges in realizing it automatically. This study aimed to develop adaptive mechanism to mediate production bottlenecks caused by constraints. First, the research identified the four main types of constraints and their levels of variability from a prefabricated project. Then, a simulation model was established to quantify the impacts of different constraints and determine the fair payment rules. Lastly, different constraint-bundled scenarios and execution policies were developed and encoded in the smart contracts for automated executions. Smart contracts can assist construction managers to motivate reliable production and minimize waste caused by bottlenecks in the system. }, author_keywords={Constraint, simulation, smart contracts, Shapley value, modular construction }, address={Lille, France }, issn={2789-0015 }, publisher={ }, language={English}, document_type={Conference Paper}, source={IGLC}, }