Safety performance evaluation in a steel industry: A short-term time series approach

Nazaripour, Ebrahim; Halvani, Gholam Hossein; Jahangiri, Mehdi; Fallahzadeh, Hossein; Mohammadzadeh, Morteza

doi:10.1016/j.ssci.2018.08.028

Cited by 18 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A meticulously planned ergonomic based work-study should be undertaken/performed to investigate jobs & tasks while various operations/task are live on machinery or carried out by workers/employers [3]. Nazaripour et al [35] demonstrated a safety performance evaluation of in steel industry by estimating a Customised Predictive Risk Index.…”

Section: Ergonomics At Work In Iron and Steel Companymentioning

confidence: 99%

IE Tools for Boosting Competitiveness in Iron and Steel Industry: A Review

Akarte

Khanzode

Iqbal

et al. 2021

Trans Indian Inst Met

View full text Add to dashboard Cite

Integrated steelmaking operations, from ironmaking to final steel categories/forms, are a complex industrial system. Decision-makers, in addition to the domain knowledge, need to understand many facets related to operations management, process execution, involved risk factors and material handling aspects, etc. The solution approach must address trade-offs, uncertainties, multiple stages, multiple objectives, many decision variables, and constraints. Literature has presented several Industrial Engineering approaches like multi-objective optimisation, heuristics, evolutionary algorithm, Simulations, lean sixsigma, etc., to address the iron and steel industry's complex problems like integrated production planning. The manuscript reviews recent application of these IE tools/solution approaches in iron and steel industries to enhanced productivity/competitiveness. A Systematic Literature Review (SLR) methodology has been adopted. The review will help the practitioners and academicians to know the different problem areas about iron and steel industries discussed in the literature, and the solution approaches used to solve the problem. Keywords Industrial Engineering Á Optimization Á Iron and steel industry Á Productivity improvement Á Solution approaches 1 Introduction Industrial Engineering (IE), also referred to as Industrial and Systems Engineering or Industrial Engineering and Management or Management Science is a multidisciplinary branch that covers several productivity improvement techniques. The branch of knowledge started developing in the early twentieth century when F. W. Taylor invented principles of scientific management, and Henry Ford implemented assembly lines to improve productivity at reduced costs in manufacturing processes. Over a period, developments like Industry 4.0, predictive analytics, Operations Research, Toyota Production Systems, TQM & Six Sigma, Ergonomics, and Human Factors Engineering, created a vast body of knowledge creation/dissemination. Institute of Industrial Engineers in January 2019 created a document representing a repository of essential knowledge areas for Industrial Engineering [1].

show abstract

Section: Ergonomics At Work In Iron and Steel Companymentioning

confidence: 99%

IE Tools for Boosting Competitiveness in Iron and Steel Industry: A Review

Akarte

Khanzode

Iqbal

et al. 2021

Trans Indian Inst Met

View full text Add to dashboard Cite

show abstract

“…For instance, Shirali et al [4] explored the interplay between security spending and operational performance but did not offer a method for real-time security evaluation. Nazaripour et al [5] developed a Customized Predictive Risk Index (CPRI) to forecast accidents from 350 unsafe observations, providing valuable insights into accident prediction but not encompassing overall security assessment. Wu Qibing et al [6] proposed a security assessment model focusing on the impact of various factors on security, utilizing the Analytic Hierarchy Process (AHP) for determining the weight of indicators.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

Bai,

Chen

2024

Sustainability

View full text Add to dashboard Cite

Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough and timely security assessment. At the same time, it is impossible to achieve the sustainable development goals of reducing the adverse impact of safety on the environment, ensuring economic benefits and the health of employees. This study addresses the complexities of heterogeneous networks, disparate systems, and segregated data that are prevalent in traditional ironmaking plants; and a method to reconstruct the plant’s network and execute security assessments is proposed. This method involves coupling existing systems with new ones to create comprehensive data and resource pools by aggregating information from diverse sources. Subsequently, employing multiple regression models and optimized neural network models at the edge and central cloud facilitates dynamic assessment of security concerns. This method enables concurrent consideration of both regional and overall security analysis and decision-making within the plant. Through simulation testing of 27 functionalized module indicator datasets over the preceding 12 months at a specific ironmaking plant, the efficacy of the proposed theoretical methods and technological approaches in constructing security systems for ironmaking plants is substantiated.

show abstract

“…In 2018, Ebrahim analyzed various risk factors such as 'probability at risk', 'frequency of work exposure', 'number of persons at risk', and 'severity of consequence' according to unsafe act and condition observations through work observation in the steel industry. Based on this, a customized predictive risk index was calculated, and the occurrence of safety accidents was predicted in advance [16]. In 2018, the CCPS (Center for Chemical Process Society) stated that safety management indicators can be classified into three types of indicators: lagging metrics, near-miss metrics, and leading metrics.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Application of the Safety Practice Index to Reduce Safety Accidents in the Manufacturing Industry

Kim

Kim²,

Rie

2021

Sustainability

View full text Add to dashboard Cite

Human casualties caused by industrial accidents pose a serious threat to corporate management due to the continual strengthening of safety laws as well as changes in the public’s awareness of corporate social responsibility. Accordingly, companies are raising safety awareness among employees by regularly conducting on-site safety activities and training to prevent industrial accidents. However, the safety activities, education, and training of many companies are not carried out voluntarily or in practice by their employees, but mostly through formal implementation. To break away from these customary and passive behaviors and establish a mature safety culture, it is crucial to strengthen the execution capacity of safety management in the field; to this end, we plan to utilize the safety practice index (SPI). The safety practice index (SPI), which quantitatively represents the degree of safety practice, is necessary to increase the effectiveness of safety management for the purpose of preventing accidents. In this study, the correlation was verified by comparing the SPI calculated based on the 2018 and 2019 risk management and the safety activity results of manufacturer A with the reported safety accidents. It was also effective in improving the SPI and reducing safety accidents in 2020 by supplementing the weaknesses of the SPI in 2018 and 2019. According to the results of this study, SPI can be used as an effective indicator for safety accident prevention activities by supplementing weaknesses with strengths through strengthening leadership and safety policies, such as classifying and managing the safety management level of a specific period or department.

show abstract

Safety performance evaluation in a steel industry: A short-term time series approach

Cited by 18 publications

References 13 publications

IE Tools for Boosting Competitiveness in Iron and Steel Industry: A Review

IE Tools for Boosting Competitiveness in Iron and Steel Industry: A Review

A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks

A Study on the Application of the Safety Practice Index to Reduce Safety Accidents in the Manufacturing Industry

Contact Info

Product

Resources

About