How petrochemical industry survive in post-COVID-19: A STAMP-based system science research and recommendations for large-scale sociotechnical systems

Wei Dai, Hu Zhiqian, B. He
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Abstract

The COVID-19 profoundly impacts petrochemical manufacturing, and different organizations have specific response measures to such major public health incidents. Notably, As a representative interdisciplinary subject in systems science and systematics, work system and safety in Human Factors and Ergonomics (HFE) research can play an essential role in investigating the humans and organizations of the petrochemical industry. Although the global outbreak has gradually stabilized, this industry has experienced a challenging period in 2020. How does they survive this struggle? Is there a predicament with their responses? How can HFE researchers apply the knowledge of system safety to the future development of petrochemical manufacturing? Therefore, This research conducts Accimap and System Theoretic Accident Modeling Process (STAMP) analysis for one representative oil refinery in China. This procedure is a qualitative data analysis in the system security discipline. The researchers investigate the relationship between human and organizations in the context of the epidemic from the systematic perspective, discover related problems, thereby consider the future of petrochemical manufacturing.The highlights of this research are: the application of STAMP to COVID-19 research, which is a knowledge innovation of practice in system security; Using the comprehensive wisdom of safety science from the systematic perspective; Applying qualitative data, and exporting highly visual information diagram to interface with readers in a wider range of expertise, creating in more potential possibilities.The researchers use Accimap to process the qualitative data in large-scale socio-technical systems and build a complete and transparent organization diagram; Also, The researchers use STAMP to locate deficiencies in its system control process. Consequently, this research uses the data results, combine with the current situation of international petrochemical industry, to put forward guiding recommendations for its development in the post-pandemic era.
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石化行业如何在新冠疫情后生存:基于stamp的系统科学研究及对大规模社会技术系统的建议
新冠肺炎疫情对石化制造业产生了深刻影响,对于此类重大公共卫生事件,不同组织都有针对性的应对措施。值得注意的是,作为系统科学和系统学中具有代表性的交叉学科,人因与工效学(HFE)中的工作制度与安全研究对于研究石化行业的人和组织具有重要作用。尽管全球疫情逐渐稳定,但2020年该行业经历了一个充满挑战的时期。他们是如何在这场斗争中幸存下来的?他们的回答是否陷入了困境?HFE研究人员如何将系统安全知识应用于石化制造业的未来发展?因此,本研究对国内一家具有代表性的炼油厂进行了Accimap和系统理论事故建模过程(System theory Accident Modeling Process, STAMP)分析。本程序是系统安全学科中的定性数据分析。研究人员从系统的角度考察疫情背景下人与组织的关系,发现相关问题,从而思考石化制造业的未来。本研究的亮点是:STAMP在COVID-19研究中的应用,是系统安全实践的知识创新;从系统的角度运用安全科学的综合智慧;应用定性数据,并导出高度可视化的信息图表,与更广泛的专业知识的读者界面,创造更多的潜在可能性。利用Accimap对大规模社会技术系统的定性数据进行处理,构建完整透明的组织结构图;此外,研究人员使用STAMP来定位其系统控制过程中的缺陷。因此,本研究利用数据结果,结合国际石化行业现状,为其在后大流行时代的发展提出指导性建议。
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