TY  - CONF
TI  - A Mechanism for Smart Contracts to Mediate Production Bottlenecks Under Constraints
C1  - Lille, France
C3  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
SP  - 1232
EP  - 1244
PY  - 2023
DO  - 10.24928/2023/0179
AU  - Chen, Gongfan
AU  - He, Chuanni
AU  - Hsiang, Simon M.
AU  - Liu, Min
AU  - Li, Huaming
AD  - 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
AD  - 2  Postdoctoral Researcher, Dept. of Civil and Environmental Engineering, Syracuse University, Syracuse, NY,  USA, che117@syr.edu, orcid.org/0000-0002-0482-6243
AD  - 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
AD  - 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
AD  - 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
AB  - 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.
KW  - Constraint
KW  - simulation
KW  - smart contracts
KW  - Shapley value
KW  - modular construction
PB  - 
T2  - Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)
DA  - 2023/06/26
CY  - Lille, France
L1  - http://iglc.net/Papers/Details/2116/pdf
L2  - http://iglc.net/Papers/Details/2116
N1  - Export Date: 03 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -