Article
Engineering, Industrial
Guofeng Ma, Zhijiang Wu, Jianyao Jia, Shanshan Shang
Summary: The paper develops an integrated analysis framework (IAF) using machine learning to mine safety risk factors from heterogeneous data, calculates initial importance based on two judgment categories, and introduces the concept of cascading effect to establish an activity-on-the-node (AON) network to evaluate the negative impact of risk factors on project safety. The case study results show that machine learning can efficiently mine associated risk factors and effects with cascading failures, indicating that data-based safety risk factor analysis is more objective and accurate.
Article
Engineering, Industrial
Xin Li, Yong Guo, Fan-liang Ge, Fu-qiang Yang
Summary: The hybrid approach of CREAM, fuzzy theory, and Bayesian network was used to analyze the reliability of scaffolding operators. By analyzing the characteristics of scaffolding operations, operational and cognitive subtasks were identified. A relational network of common performance conditions was determined using a Bayesian network, and fuzzy languages were transformed into conditional probabilities. The human error probabilities of the operational and cognitive subtasks were calculated, and the total human error probability of the scaffolding operation was determined using a series-parallel hybrid structure. The results showed that the total human error probability at the construction site was 4.30E-03. Scaffold dismantling and supervisory inspection had a significant impact on human error, highlighting the importance of training and education on work methods. This method provides a new approach to human reliability analysis and the safety of work at height.
Article
Green & Sustainable Science & Technology
Seyedeh Anahita Mousavi, Ashkan Hafezalkotob, Vahidreza Ghezavati, Farshid Abdi, Rouhollah Mobarra
Summary: The sustainable evaluation of energy sources for EV charging stations is crucial. We propose a model based on R-numbers and combined compromise solution method (R-COCOSO) to assess the sustainability of these stations. We also developed the CODAS method based on R-numbers to evaluate project risk, and a linear programming model to optimize workload allocation and contractors' risk response based on R-numbers and the epsilon-constraint approach. A real case in Tehran, Iran, was used to validate the accuracy of the model.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Amir Bahador Ketabi, Gholamreza Heravi
Summary: This study developed a step-by-step framework to optimize safety cost allocation (OSCA) for achieving the maximum possible PSL using limited safety budget and considering similar projects' data. The multiple linear regression and linear programming models were used to preliminarily estimate PSL, demonstrating the impacts of various factors on PSL and the potential of optimizing financial resource allocation to improve PSL.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Yanqun Yang, Yu Wang, Said M. Easa, Xiaobo Yan
Summary: Currently, the global tunnel construction industry is growing rapidly, but construction accidents occur frequently, causing numerous casualties and property losses. It is necessary to focus on the causes of tunnel construction accidents, ensure construction site safety, and reduce such accidents. Through literature and case analysis, we identified 35 typical tunnel causative factors and conducted research and analysis. These factors were classified into 7 types. A measurement questionnaire was prepared based on a variable system and 536 valid questionnaires were collected. Using a structural equation model (SEM), the relationship between these variables was studied. The results revealed that six latent variables significantly influence tunnel construction accidents: human factors, material factors, geological exploration design, technical management, safety management, and natural conditions. Natural conditions have the greatest impact, followed by human factors and safety management. Education, training, and safety management in construction risk control should be given particular attention. The structural model and research findings contribute to establishing the theory of causes of tunnel construction accidents and guide the formulation of safety management policies for tunnel construction projects in order to reduce tunnel accidents and ensure construction safety.
Article
Engineering, Civil
Khalid K. Naji, Murat Gunduz, Mohammad H. Falamarzi
Summary: This study utilized an analytical network process (ANP) model to evaluate the critical elements in assessing tender bids and considered their interdependencies. The findings revealed that financial stability is the most important factor, followed by offered price and delivery date. Additionally, the study discovered that some previously deemed inconsequential factors are actually significant.
KSCE JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Industrial
Na Xu, Ling Ma, Qing Liu, Li Wang, Yongliang Deng
Summary: This study aims to identify safety risk factors in construction accident reports using text mining technology, proposing an information entropy weighted term frequency (TF H) method for term importance evaluation. The results show that this approach effectively extracts important factors and addresses the impact of different report lengths, depicting critical causes contributing most to metro construction accidents in China.
Article
Construction & Building Technology
Tshweu Given Masoetsa, Babatunde Fatai Ogunbayo, Clinton Ohis Aigbavboa, Bankole Osita Awuzie
Summary: This paper evaluates the constraint factors affecting project performance in the South African construction industry through a quantitative research design and questionnaire survey. The results suggest that inappropriate project scheduling and coordination, as well as organizational and government policies, are the primary constraints impacting construction project performance. The study recommends that construction professionals improve their managerial capacity to reduce these constraints.
Article
Green & Sustainable Science & Technology
Saeed Reza Mohandes, Xueqing Zhang
Summary: A comprehensive Occupational Health and Safety Risk Assessment Model (HOHSRAM) is developed in this study to assess the safety and health of Construction Workers through the integration of different fuzzy analysis methods. The proposed model outperforms existing assessment methods in the construction industry through comprehensive comparative analysis, providing safety professionals with a beneficial ranking system.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Construction & Building Technology
Ifeanyi Okpala, Chukwuma Nnaji, John Gambatese
Summary: This paper examines the use of robotics and automation in construction operations and focuses on assessing safety risks and developing a tool for risk mitigation. Through a literature review, expert consultations, and interviews, 40 hazards and 20 mitigation strategies were identified. This study contributes to improving construction worker safety and supporting industry development.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Engineering, Industrial
Zhipeng Zhou, Javier Irizarry, Wenya Guo
Summary: This research aims to develop a subway construction safety risk network (SCSRN) with two layers of 56 causations and 44 accidents, identifying topological features and conducting robustness assessment to optimize safety-related decisions on the elimination of causations and controlling accidents with high efficiency on site.
Article
Engineering, Civil
Georgios K. Koulinas, Alexandros S. Xanthopoulos, Konstantinos A. Sidas, Dimitrios E. Koulouriotis
Summary: The study introduces a novel risk assessment framework that can predict project completion time more accurately and provide useful information for risk management.
WATER RESOURCES MANAGEMENT
(2021)
Article
Automation & Control Systems
Lin Hou, Yong Peng, Dong Sun
Summary: This study proposes a hybrid framework that incorporates a stochastic approach and an integrated optimization strategy to improve train crashworthiness and reduce passenger crash injuries. The stochastic approach evaluates the statistic characteristics of system responses and quantifies the contribution ranking of uncertain parameters to response variations. The optimization strategy solves the nonuniqueness of Pareto optimal solutions and improves the passive safety of the railway industry.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Construction & Building Technology
Qijie Cai, Qijun Hu, Guoli Ma
Summary: This paper proposes a novel hybrid reasoning approach to perceive the risk level of mountain tunnel collapse under uncertainty by integrating the extended cloud model (ECM) and improved Dempster-Shafer (D-S) evidence theory. The method effectively addresses uncertainty and fuzziness in risk factors through procedures such as weight assessment of evidence, evidence source improvement, and evidence fusion, enhancing the accuracy and reliability of risk assessment.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Engineering, Industrial
Beliz Ozorhon, Fatih Cardak, Semih Caglayan
Summary: The rapid development of technology and increasing competition in the construction industry have led to a need for faster response to changing conditions. Agile project management, based on collaborative teams and incremental delivery, is being implemented in the construction industry. This study investigates the implementation of the agile hybrid approach in construction and proposes an interactive agile integration framework for companies to incorporate agility into their project management practices.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Xia-Zhong Zheng, Fei Wang, Jian-Lan Zhou
MATHEMATICAL PROBLEMS IN ENGINEERING
(2017)
Article
Engineering, Industrial
Jian-Lan Zhou, Yi Lei
Article
Engineering, Civil
Fei Wang, Xia-zhong Zheng, Shu Chen, Jian-Lan Zhou
WATER RESOURCES MANAGEMENT
(2017)
Article
Mathematics, Interdisciplinary Applications
Xia-zhong Zheng, Xue-ling Xie, Dan Tian, Jian-lan Zhou, Ming Zhang
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2018)
Article
Engineering, Civil
Xiazhong Zheng, Jianlan Zhou, Fei Wang, Yang Chen
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2018)
Article
Engineering, Industrial
Zhi-Yu Sun, Jian-Lan Zhou, Lin-Fei Gan
Article
Environmental Sciences
Jian-Lan Zhou, Qin-Qin Xu, Xian-Yong Zhang
Article
Engineering, Industrial
Jian-Lan Zhou, Yi Lei, Yang Chen
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2019)
Article
Computer Science, Interdisciplinary Applications
Jian-Ping Wang, Mei-Ru Wang, Jian-Lan Zhou, Qing-Jun Zuo, Xun-Xian Shi
ENGINEERING COMPUTATIONS
(2020)
Article
Engineering, Industrial
Jian-Lan Zhou, Yi Lei
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2020)
Article
Computer Science, Artificial Intelligence
Jian-Lan Zhou, Jin-An Chen
Summary: The study introduces a consensus model based on probabilistic linguistic term set for handling group consensus in large-scale decision-making problems. By incorporating Tanimoto coefficient and weight adjustment function, it effectively deals with linguistic evaluations from DMs. The model integrates major and minor adjustment manners, building a consensus model applicable to various decision-making problems.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Engineering, Industrial
Jian-Lan Zhou, Ze-Tai Yu, Ren-Bin Xiao
Summary: The Success Likelihood Index Method (SLIM) is widely used to estimate human error probability. To overcome its reliance on a small number of experts, researchers proposed a large-scale group SLIM (LG-SLIM) problem to establish a consensus model and conducted related experiments in railway driving.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Jian-Lan Zhou, Ren-Fang Tu, Hai Xiao
Summary: This paper proposes a feedback-autonomy-based consensus model to evaluate the inter-rater reliability of human factors analysis. The model effectively reduces contradictions among raters' opinions, provides feedback adjustment suggestions, and reduces conflicts.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Environmental Sciences
Jia-Cheng Yao, Jian-Lan Zhou, Hai Xiao
Summary: With the rapid development of science and technology, water resource sustainability has become a hot topic. This study proposes a large-scale group water resource sustainability assessment (LGWRSA) using expert judgment techniques. It introduces the double-level linguistic preference relation (DLLPR) to present reasonable and intuitive linguistic opinions. A consensus model is developed to modify minority opinions and manage non-cooperative behaviors, ensuring an accurate evaluation result. The effectiveness of the proposed method is validated through a practical LGWRSA problem, with a comparative analysis illustrating their benefits and shortcomings.
Article
Computer Science, Information Systems
Xianyong Zhang, Wenwu Hu, Jianlan Zhou, Qingjun Zuo, Ruilin Wu, Zhixin Tang
Article
Engineering, Industrial
Hao Sun, Haiqing Wang, Ming Yang, Genserik Reniers
Summary: To maintain continuous production, chemical plant operators may choose to ignore or handle faults online rather than shutting down process systems. However, the interaction and interdependence between components in a digitalized process system are significant, and faults can propagate to downstream nodes, potentially leading to risk accumulation and major accidents. This study proposes a dynamic risk assessment method that integrates the system-theoretic accident model and process approach (STAMP) with the cascading failure propagation model (CFPM) to model the risk accumulation process. The proposed method is applied to a Chevron refinery crude unit and demonstrates its effectiveness in quantifying the process of risk accumulation and providing real-time dynamic risk profiles for decision-making.
Article
Engineering, Industrial
M. Rempel
Summary: This article examines a major maritime disaster scenario and explores the evacuation process in such a situation. The study finds that there are various factors that affect the number of lives saved, including the uncertainty of individuals' medical condition, the arrival time of maritime and air assets, and the decision policies used. The authors formulate the multi-domain operation as a sequential decision problem using a modeling framework and provide decision support through a hypothetical case study.
Review
Engineering, Industrial
D. Scorgie, Z. Feng, D. Paes, F. Parisi, T. W. Yiu, R. Lovreglio
Summary: This study investigates the application and effectiveness of VR safety training solutions in various industries such as construction, fire, aviation, and mining. The findings suggest a need for more studies that adopt theories and measure long-term retention. Two meta-analyses demonstrate that VR safety training outperforms traditional training in terms of knowledge acquisition and retention.
Article
Engineering, Industrial
Shital Thekdi, Terje Aven
Summary: This paper examines biases in risk studies and investigates how to identify and address them to ensure high-quality risk analysis. By considering biases related to systematic error, event inclusion, models, and cognitive factors, the paper explores their influence on risk characterization. The insights gained from this exploration can be valuable to risk analysts, policymakers, and other stakeholders involved in risk study applications.
Article
Engineering, Industrial
Maryam Lari
Summary: Occupational health and safety (OHS) are crucial for employee well-being and productivity. This study examines the impact of OHS practices on employee productivity in a UAE Fire and Security company, finding that OHS interventions can enhance workplace ambiance and significantly boost employee productivity.
Review
Engineering, Industrial
Elleke Ketelaars, Cyrille Gaudin, Simon Flandin, Germain Poizat
Summary: This systematic literature review examines the literature on resilience training (RT), specifically focusing on the effectiveness of RT interventions in preparing professionals to effectively respond to critical situations. The review identifies five types of RT and suggests the need for conceptual advancements, vocational education and training perspectives, and a cross-disciplinary approach in future research to enhance resilience in safety-related domains.
Article
Engineering, Industrial
Meng Shi, Zhichao Zhang, Wenke Zhang, Yi Ma, Hanbo Li, Eric Wai Ming Lee
Summary: This study investigates pedestrian behaviours and evacuation processes in both fire and non-fire conditions using Minecraft. The results demonstrate the potential of Minecraft for realistically simulating evacuation processes, as the behaviours and flow patterns of pedestrians in virtual experiments fit well with real-life experiments. The study also shows that pedestrians exhibit fire avoidance behaviours and orderly queuing during a fire emergency, resulting in faster evacuation.
Article
Engineering, Industrial
Andrea Bikfalvi, Esperanza Villar Hoz, Gerusa Gimenez Leal, Monica Gonzalez-Carrasco, Nuria Mancebo
Summary: This paper proposes a solution for integrating occupational safety and health (OSH) into education, combining theoretical foundations and empirical evidence. The findings include analysis of teachers as stakeholders, barriers and facilitators of OSH integration, and the development of an ICT tool for interaction and sharing in this field. The main contribution lies in envisioning, orchestrating, and validating a solution to integrate OSH into schools and ultimately contribute to sustainable development goals.
Article
Engineering, Industrial
David Rehak, Alena Splichalova, Martin Hromada, Neil Walker, Heidi Janeckova, Josef Ristvej
Summary: This article discusses the adoption of a new directive on the resilience of critical entities and emphasizes the importance of assessing their level of resilience in relation to current security threats. The authors have developed a tool, known as the CERFI Tool, which uses a probabilistic algorithm to predict the failure point of critical entity resilience based on the relationship between threat intensity and protection. The tool is important for increasing the safety of technically oriented infrastructures, particularly in the energy and transport sectors.
Review
Engineering, Industrial
Leonardo Leoni, Ahmad Bahootoroody, Mohammad Mahdi Abaei, Alessandra Cantini, Farshad Bahootoroody, Filippo De Carlo
Summary: This paper presents a systematic bibliometric analysis (SBA) on the research of machine learning and deep learning in the field of safety. The main research areas, application fields, relevant authors and studies, and temporal evolution are investigated. It is found that rotating equipment, structural health monitoring, batteries, aeroengines, and turbines are popular fields, and there is an increase in popularity of deep learning and new approaches such as deep reinforcement learning.
Article
Engineering, Industrial
Tom Becker, Peter Ayton
Summary: By analyzing global civil aviation data, we found that there is a significant increase in the number of accidents and safety critical incidents, as well as the fatalities, when the Pilot-in-Command acts as the Pilot Flying instead of the Pilot Monitoring. Most of these events occurred in technically airworthy aircraft without any emergencies, and the flight crew assessed them as preventable. These findings align with the crew assignment effect, suggesting that role-dependent status hierarchy and cognitive overload contribute to ineffective flight crew teamwork. The measures implemented to enhance flight crew teamwork, such as Crew Resource Management training, have not been successful in preventing these issues.
Article
Engineering, Industrial
Ben Hutchinson, Sidney Dekker, Andrew Rae
Summary: This study found that health and safety audits often fail to identify critical deficiencies, with corrective actions mainly focusing on superficial fixes rather than addressing significant operational risks.
Review
Engineering, Industrial
Sina Rasouli, Yaghoub Alipouri, Shahin Chamanzad
Summary: Construction projects are risky environments, but the development of Personal Protective Equipment (PPE) and comprehensive safety management can effectively control the number of accidents.
Article
Engineering, Industrial
Laura Mills, Verity Truelove
Summary: This study investigated the use of police location communities (PLCs) for obtaining information about roadside drug testing (RDT) among drivers, and found that drivers who used PLCs were more concerned about being caught for drug driving, had a better understanding of the related penalties and procedures, and knew others who also used PLCs to avoid detection for drug driving. Furthermore, the study found that the use of PLCs was associated with choosing back roads for driving, which may reduce the risk of detection for drug driving.
Review
Engineering, Industrial
Chao Wu, Xi Huang, Bing Wang
Summary: After decades of development, the safety discipline in China has made remarkable progress. The project led by the Safety & Security Theory Innovation and Promotion Center of Central South University has filled the gaps in safety science education by creating textbooks and courses for postgraduate students. These achievements have played an important role in the development of safety science and can serve as a reference for basic research and talent training in safety science globally.