Safety is one of the greatest challenges in the construction industry. Researchers proposed various safety systems to manage site safety and improve safety performance at the project level. However, these safety systems still exhibit large disconnections between the theoretical components of the systems, luck the risk prevention from specific work procedure and controlling methods. As a result, different safety teams often implement safety plans and activities in different ways, yielding different results without stability of the safety system. A safety framework that based on the construction method statement with a clear logic of safety management elements under controlling points is proposed to increase the efficiency of safety system execution at the project level to reduce the safety risks systematically. This study begins by analysing safety systems currently on the market and breaks them down to three main components: setting up the framework through systematic models, interconnecting various safety elements through safety management theories with logic, and controlling safety management data flow through an artificial neural network model, where corporate safety management frameworks are incorporated at the project level. Then the framework is further applied and tested in a semiconductor project. This framework provides an integration of safety elements, field activities and associated risks, draft the path and flow of information data generated from the safety activities and controlling points of data which enable the field safety management system to be executed with new technology of cloud based algorithm at project levels. Because each project is different based on the construction methods and sequence, the framework only covers a certain depth in the construction process based on the assumption of construction sequence presented in the study. Nevertheless, each project requires a custom design framework to accommodate the special construction method and sequence which might be different from this study to increase construction safety performance.
Published in | American Journal of Civil Engineering (Volume 9, Issue 6) |
DOI | 10.11648/j.ajce.20210906.12 |
Page(s) | 186-193 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Safety Systems, Safety Management, Safety Management Frameworks
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APA Style
Lan Zhang, Thomas Zhang, Junhui Heng. (2021). Project-Level Safety Management Framework for Semiconductor Project. American Journal of Civil Engineering, 9(6), 186-193. https://doi.org/10.11648/j.ajce.20210906.12
ACS Style
Lan Zhang; Thomas Zhang; Junhui Heng. Project-Level Safety Management Framework for Semiconductor Project. Am. J. Civ. Eng. 2021, 9(6), 186-193. doi: 10.11648/j.ajce.20210906.12
AMA Style
Lan Zhang, Thomas Zhang, Junhui Heng. Project-Level Safety Management Framework for Semiconductor Project. Am J Civ Eng. 2021;9(6):186-193. doi: 10.11648/j.ajce.20210906.12
@article{10.11648/j.ajce.20210906.12, author = {Lan Zhang and Thomas Zhang and Junhui Heng}, title = {Project-Level Safety Management Framework for Semiconductor Project}, journal = {American Journal of Civil Engineering}, volume = {9}, number = {6}, pages = {186-193}, doi = {10.11648/j.ajce.20210906.12}, url = {https://doi.org/10.11648/j.ajce.20210906.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210906.12}, abstract = {Safety is one of the greatest challenges in the construction industry. Researchers proposed various safety systems to manage site safety and improve safety performance at the project level. However, these safety systems still exhibit large disconnections between the theoretical components of the systems, luck the risk prevention from specific work procedure and controlling methods. As a result, different safety teams often implement safety plans and activities in different ways, yielding different results without stability of the safety system. A safety framework that based on the construction method statement with a clear logic of safety management elements under controlling points is proposed to increase the efficiency of safety system execution at the project level to reduce the safety risks systematically. This study begins by analysing safety systems currently on the market and breaks them down to three main components: setting up the framework through systematic models, interconnecting various safety elements through safety management theories with logic, and controlling safety management data flow through an artificial neural network model, where corporate safety management frameworks are incorporated at the project level. Then the framework is further applied and tested in a semiconductor project. This framework provides an integration of safety elements, field activities and associated risks, draft the path and flow of information data generated from the safety activities and controlling points of data which enable the field safety management system to be executed with new technology of cloud based algorithm at project levels. Because each project is different based on the construction methods and sequence, the framework only covers a certain depth in the construction process based on the assumption of construction sequence presented in the study. Nevertheless, each project requires a custom design framework to accommodate the special construction method and sequence which might be different from this study to increase construction safety performance.}, year = {2021} }
TY - JOUR T1 - Project-Level Safety Management Framework for Semiconductor Project AU - Lan Zhang AU - Thomas Zhang AU - Junhui Heng Y1 - 2021/11/12 PY - 2021 N1 - https://doi.org/10.11648/j.ajce.20210906.12 DO - 10.11648/j.ajce.20210906.12 T2 - American Journal of Civil Engineering JF - American Journal of Civil Engineering JO - American Journal of Civil Engineering SP - 186 EP - 193 PB - Science Publishing Group SN - 2330-8737 UR - https://doi.org/10.11648/j.ajce.20210906.12 AB - Safety is one of the greatest challenges in the construction industry. Researchers proposed various safety systems to manage site safety and improve safety performance at the project level. However, these safety systems still exhibit large disconnections between the theoretical components of the systems, luck the risk prevention from specific work procedure and controlling methods. As a result, different safety teams often implement safety plans and activities in different ways, yielding different results without stability of the safety system. A safety framework that based on the construction method statement with a clear logic of safety management elements under controlling points is proposed to increase the efficiency of safety system execution at the project level to reduce the safety risks systematically. This study begins by analysing safety systems currently on the market and breaks them down to three main components: setting up the framework through systematic models, interconnecting various safety elements through safety management theories with logic, and controlling safety management data flow through an artificial neural network model, where corporate safety management frameworks are incorporated at the project level. Then the framework is further applied and tested in a semiconductor project. This framework provides an integration of safety elements, field activities and associated risks, draft the path and flow of information data generated from the safety activities and controlling points of data which enable the field safety management system to be executed with new technology of cloud based algorithm at project levels. Because each project is different based on the construction methods and sequence, the framework only covers a certain depth in the construction process based on the assumption of construction sequence presented in the study. Nevertheless, each project requires a custom design framework to accommodate the special construction method and sequence which might be different from this study to increase construction safety performance. VL - 9 IS - 6 ER -