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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v8i3.11173</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Integrated Weighting Analysis for Operational Risk Assessment Indicators in HS Chemical Company</title><url>https://artdesignp.com/journal/PBES/8/3/10.26689/pbes.v8i3.11173</url><author>JiangDingbo</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2025-07-14</published-time></date></history><abstract>Growing regulatory demands for industrial safety and environmental protection in the chemical sector necessitate robust operational risk assessment to enhance management efficacy. Here, the HS Chemical Company is evaluated through a multidimensional framework encompassing market dynamics, macroeconomic factors, financial stability, governance, supply chains, and production safety. By integrating the Analytic Hierarchy Process (AHP) with entropy weighting, a hybrid weighting model that mitigates the limitations of singular methods is established. The analysis of this study identifies financial risk (weight: 0.347) and production safety (weight: 0.298) as dominant risk drivers. These quantitative insights offer a basis for resource prioritization and targeted risk mitigation strategies in chemical enterprises.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhao H, Zhu T, Luo X, et al., 2022, Regional Ecological Risk Assessment of Chemical Industry Stress Under China’s Coastal Development Strategy. Journal of Cleaner Production, 375: 134085.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang F, Wang J, Ren J, et al., 2020, Continuous Improvement Strategies for Environmental Risk Mitigation in Chemical Plants. Resources, Conservation and Recycling, 160: 104885.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Ding L, Khan F, Guo X, et al., 2021, A Novel Approach to Reduce Fire-Induced Domino Effect Risk by Leveraging Loading/Unloading Demands in Chemical Industrial Parks. Process Safety and Environmental Protection, 146: 610–619.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Yan F, Dong L, Wang B, et al., 2022, Using Risk Meshing to Improve Three-Dimensional Risk Assessment of Chemical Industry. Process Safety and Environmental Protection, 168: 1166–1178.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Gan RK, Alsua C, Aregay A, et al., 2024, Exploring Cascading Disaster Risk During Complex Emergencies: Chemical Industry Disaster Risk Assessment in the Aftermath of the Kakhovka Dam Bombing in Ukraine. Disaster Medicine and Public Health Preparedness, 18: e62.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Qi C, Zou Q, Cao Y, et al., 2024, Hazardous Chemical Laboratory Fire Risk Assessment Based on ANP and 3D Risk Matrix. Fire, 7(8): 287.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Guo Y, Ai X, Luo W, 2024, A Multi-Task Learning Risk Assessment Method for the Chemical Process Industry. Process Safety and Environmental Protection, 186: 980–994.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>He Z, Shen K, Lan M, et al., 2024, The Effects of Dynamic Multi-Hazard Risk Assessment on Evacuation Strategies in Chemical Accidents. Reliability Engineering &amp; System Safety, 246: 110044.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
