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RFID Enabled Knowledge‐Based Precast Construction Supply Chain
Author(s) -
Wang Zhaojing,
Hu Hao,
Zhou Wei
Publication year - 2017
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12254
Subject(s) - precast concrete , barcode , radio frequency identification , supply chain , identification (biology) , computer science , supply chain management , systems engineering , engineering , computer security , business , civil engineering , operating system , botany , marketing , biology
Radio frequency identification (RFID) helps improve supply chain efficiency by providing item‐level identification and real‐time information. Today, barcode continues to be the main identification technology for precast construction applications. In this research, we investigate the data‐driven mechanisms and benefits of utilizing RFID in knowledge‐based precast construction supply chains. With computer‐aided self‐learning capability, we simulate three models for manual‐, barcode‐, and RFID‐enabled precast construction supply chain. The results of 100 precast wall‐panel construction in a two‐echelon precast construction supply chain reveal that the knowledge‐based RFID system could generate 62.0% saving of operational costs, which is 29.0% higher than that of a barcode‐based system. As a result, the computer‐aided adaptive learning mechanism based on RFID is verifiable to improve the overall operational performance by reducing lead time, operational errors, and costs. Due to the lack of existing literature of data technology utilization in the precast construction industry, our findings in this research could improve the decision making regarding technology selection, as well as help with the operationalization of RFID and transformation to intelligent precast construction management in big data environment.