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the role of artificial intelligence in implementing hse standards in the petrochemical industry
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نویسنده
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tamtaji mostafa ,ekrami kivaj alireza
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منبع
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international journal of reliability, risk and safety: theory and application - 2025 - دوره : 8 - شماره : 1 - صفحه:30 -46
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چکیده
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Health, safety, and environmental (hse) standards in the petrochemical industry hold special importance due to the high-risk and sensitive nature of the activities in this sector. with significant advancements in the field of artificial intelligence (ai), innovative tools and methods have been introduced to enhance the efficiency and effectiveness of hse management systems. this article examines the crucial role of ai in the implementation and maintenance of hse standards in the petrochemical industry. ai significantly contributes to reducing accidents and increasing safety by analyzing large and complex datasets, identifying risk patterns, and predicting potential incidents. additionally, through the optimization of safety processes, monitoring compliance, and mitigating environmental risks, ai has positively impacted hse management. the implementation of intelligent systems in this field not only helps maintain the health and safety of employees but also leads to greater sustainability and accountability within the petrochemical industry by reducing negative environmental impacts. this article delves into the various applications of ai in hse management in the petrochemical industry, discussing the benefits and challenges associated with it. this study aims to provide a comprehensive and up-to-date perspective on the role of ai in enhancing hse standards and improving safety and sustainability in the petrochemical industry.
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کلیدواژه
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artificial intelligence (ai) ,hse standards ,petrochemical industry ,safety management ,environmental risk ,predictive analytics
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آدرس
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malek ashtar university of technology, faculty of management and industrial engineering, department of strategic management, iran, islamic azad university, science and research branch, faculty of engineering, department of aerospace engineering, iran
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پست الکترونیکی
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alireza.ekrami10@gmail.com
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Authors
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