Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero
Precision metrology plays a pivotal role in modern manufacturing processes by ensuring the attainment of high-quality standards and the optimization of production efficiency. This comprehensive review delves into the significance of precision metrology in enhancing manufacturing quality across diverse industries. The review encompasses an examination of advanced metrological techniques, their applications, challenges, and future prospects. The review begins by elucidating the fundamental principles of precision metrology, emphasizing its critical role in quantifying dimensional accuracy, surface finish, and other crucial parameters in manufacturing. It explores the evolution of metrology from conventional methods to state-of-the-art technologies such as coordinate measuring machines (CMMs), optical metrology, and 3D scanning systems. The integration of these techniques into modern manufacturing environments has revolutionized quality control processes, enabling real-time monitoring and rapid feedback mechanisms. Furthermore, the review highlights the multifaceted applications of precision metrology across various industries, including automotive, aerospace, electronics, and medical devices. It elucidates how metrological advancements have facilitated the production of intricate components with tight tolerances, thereby enhancing product performance, reliability, and safety. Additionally, the review examines the role of metrology in ensuring compliance with regulatory standards and certifications, crucial for industries with stringent quality requirements. Despite its numerous benefits, precision metrology also poses challenges, such as measurement uncertainties, calibration complexities, and data interpretation issues. The review discusses these challenges in detail and explores emerging strategies and technologies aimed at mitigating them. Furthermore, it addresses the need for standardized metrological practices and international collaboration to foster interoperability and harmonization in global manufacturing ecosystems. Looking ahead, the review outlines future directions and opportunities in precision metrology, including advancements in artificial intelligence, machine learning, and Internet of Things (IoT) integration for predictive maintenance and autonomous quality control systems. It underscores the importance of continued research and innovation in metrology to address evolving manufacturing demands and ensure sustained improvements in product quality and competitiveness. In conclusion, this comprehensive review underscores the indispensable role of precision metrology in enhancing manufacturing quality, driving innovation, and shaping the future of modern industry. Keywords: Precision, Metrology, Manufacturing, Quality, Review.
精密计量在现代制造过程中发挥着举足轻重的作用,它确保了高质量标准的实现和生产效率的优化。这篇综合评论深入探讨了精密计量学在提高各行各业制造质量方面的重要作用。综述包括对先进计量技术、其应用、挑战和未来前景的研究。综述首先阐明了精密计量学的基本原理,强调了精密计量学在量化制造过程中的尺寸精度、表面光洁度和其他重要参数方面的关键作用。它探讨了计量学从传统方法到最先进技术(如坐标测量机 (CMM)、光学计量学和 3D 扫描系统)的演变过程。将这些技术集成到现代制造环境中彻底改变了质量控制流程,实现了实时监控和快速反馈机制。此外,该综述还强调了精密计量学在汽车、航空航天、电子和医疗设备等各行各业的多方面应用。它阐明了计量学的进步如何促进了具有严格公差的复杂部件的生产,从而提高了产品性能、可靠性和安全性。此外,报告还探讨了计量学在确保符合监管标准和认证方面的作用,这对于有严格质量要求的行业至关重要。尽管精密计量学具有诸多优势,但它也带来了挑战,例如测量不确定性、校准复杂性和数据解释问题。本综述详细讨论了这些挑战,并探讨了旨在缓解这些挑战的新兴战略和技术。此外,它还探讨了标准化计量实践和国际合作的必要性,以促进全球制造生态系统的互操作性和协调性。展望未来,报告概述了精密计量学的未来发展方向和机遇,包括人工智能、机器学习和物联网(IoT)集成在预测性维护和自主质量控制系统方面的进步。它强调了计量学领域持续研究和创新的重要性,以应对不断变化的制造需求,确保产品质量和竞争力的持续提高。总之,本综述强调了精密计量学在提高制造质量、推动创新和塑造现代工业未来方面不可或缺的作用。关键词精密 计量 制造 质量 综述
{"title":"THE ROLE OF PRECISION METROLOGY IN ENHANCING MANUFACTURING QUALITY: A COMPREHENSIVE REVIEW","authors":"Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero","doi":"10.51594/estj.v5i3.868","DOIUrl":"https://doi.org/10.51594/estj.v5i3.868","url":null,"abstract":"Precision metrology plays a pivotal role in modern manufacturing processes by ensuring the attainment of high-quality standards and the optimization of production efficiency. This comprehensive review delves into the significance of precision metrology in enhancing manufacturing quality across diverse industries. The review encompasses an examination of advanced metrological techniques, their applications, challenges, and future prospects. The review begins by elucidating the fundamental principles of precision metrology, emphasizing its critical role in quantifying dimensional accuracy, surface finish, and other crucial parameters in manufacturing. It explores the evolution of metrology from conventional methods to state-of-the-art technologies such as coordinate measuring machines (CMMs), optical metrology, and 3D scanning systems. The integration of these techniques into modern manufacturing environments has revolutionized quality control processes, enabling real-time monitoring and rapid feedback mechanisms. Furthermore, the review highlights the multifaceted applications of precision metrology across various industries, including automotive, aerospace, electronics, and medical devices. It elucidates how metrological advancements have facilitated the production of intricate components with tight tolerances, thereby enhancing product performance, reliability, and safety. Additionally, the review examines the role of metrology in ensuring compliance with regulatory standards and certifications, crucial for industries with stringent quality requirements. Despite its numerous benefits, precision metrology also poses challenges, such as measurement uncertainties, calibration complexities, and data interpretation issues. The review discusses these challenges in detail and explores emerging strategies and technologies aimed at mitigating them. Furthermore, it addresses the need for standardized metrological practices and international collaboration to foster interoperability and harmonization in global manufacturing ecosystems. Looking ahead, the review outlines future directions and opportunities in precision metrology, including advancements in artificial intelligence, machine learning, and Internet of Things (IoT) integration for predictive maintenance and autonomous quality control systems. It underscores the importance of continued research and innovation in metrology to address evolving manufacturing demands and ensure sustained improvements in product quality and competitiveness. In conclusion, this comprehensive review underscores the indispensable role of precision metrology in enhancing manufacturing quality, driving innovation, and shaping the future of modern industry. \u0000Keywords: Precision, Metrology, Manufacturing, Quality, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"42 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Predictive analytics is transforming the maintenance and reliability of satellite telecommunications infrastructure, offering proactive solutions to prevent downtime and enhance operational efficiency. This conceptual review explores key strategies and technological advancements driving the adoption of predictive analytics in this field. The integration of IoT devices and sensors enables real-time monitoring, providing valuable data on equipment performance and environmental conditions. Advanced algorithms, such as AI and ML, analyze this data to predict equipment failures and optimize maintenance schedules. These technologies improve the accuracy of predictive models, allowing companies to reduce downtime and improve overall infrastructure reliability. Challenges include data privacy and security concerns, as well as the integration of predictive analytics into existing maintenance processes. Companies must invest in specialized skills and expertise to implement predictive analytics successfully. Looking ahead, emerging technologies like real-time analytics and AI will continue to shape the future of predictive analytics in satellite telecommunications. Standardized practices, collaboration with industry partners, and a focus on data quality are essential for companies to harness the full potential of predictive analytics. In conclusion, predictive analytics is a game-changer for the maintenance and reliability of satellite telecommunications infrastructure. By adopting predictive analytics, companies can optimize maintenance processes, reduce downtime, and improve overall infrastructure reliability. Keywords: Predictive Analytics, Infrastructure, Telecommunications, Satellite, Reliability.
预测分析正在改变卫星通信基础设施的维护和可靠性,为防止停机和提高运行效率提供积极主动的解决方案。本概念性综述探讨了推动预测分析技术在该领域应用的关键战略和技术进步。物联网设备和传感器的集成实现了实时监控,提供了有关设备性能和环境条件的宝贵数据。人工智能和 ML 等先进算法通过分析这些数据来预测设备故障并优化维护计划。这些技术提高了预测模型的准确性,使公司能够减少停机时间,提高整体基础设施的可靠性。面临的挑战包括数据隐私和安全问题,以及如何将预测分析融入现有维护流程。公司必须在专业技能和专业知识方面进行投资,才能成功实施预测分析技术。展望未来,实时分析和人工智能等新兴技术将继续塑造卫星通信领域预测分析的未来。标准化的实践、与行业合作伙伴的合作以及对数据质量的关注,对于企业充分发挥预测分析的潜力至关重要。总之,预测分析改变了卫星通信基础设施的维护和可靠性。通过采用预测分析技术,企业可以优化维护流程、减少停机时间并提高基础设施的整体可靠性。关键词预测分析 基础设施 电信 卫星 可靠性
{"title":"PREDICTIVE ANALYTICS IN THE MAINTENANCE AND RELIABILITY OF SATELLITE TELECOMMUNICATIONS INFRASTRUCTURE: A CONCEPTUAL REVIEW OF STRATEGIES AND TECHNOLOGICAL ADVANCEMENTS","authors":"Nneka Adaobi Ochuba, Favour Oluwadamilare Usman, Enyinaya Stefano Okafor, Olatunji Akinrinola, Olukunle Oladipupo Amoo","doi":"10.51594/estj.v5i3.866","DOIUrl":"https://doi.org/10.51594/estj.v5i3.866","url":null,"abstract":"Predictive analytics is transforming the maintenance and reliability of satellite telecommunications infrastructure, offering proactive solutions to prevent downtime and enhance operational efficiency. This conceptual review explores key strategies and technological advancements driving the adoption of predictive analytics in this field. The integration of IoT devices and sensors enables real-time monitoring, providing valuable data on equipment performance and environmental conditions. Advanced algorithms, such as AI and ML, analyze this data to predict equipment failures and optimize maintenance schedules. These technologies improve the accuracy of predictive models, allowing companies to reduce downtime and improve overall infrastructure reliability. Challenges include data privacy and security concerns, as well as the integration of predictive analytics into existing maintenance processes. Companies must invest in specialized skills and expertise to implement predictive analytics successfully. Looking ahead, emerging technologies like real-time analytics and AI will continue to shape the future of predictive analytics in satellite telecommunications. Standardized practices, collaboration with industry partners, and a focus on data quality are essential for companies to harness the full potential of predictive analytics. In conclusion, predictive analytics is a game-changer for the maintenance and reliability of satellite telecommunications infrastructure. By adopting predictive analytics, companies can optimize maintenance processes, reduce downtime, and improve overall infrastructure reliability. \u0000Keywords: Predictive Analytics, Infrastructure, Telecommunications, Satellite, Reliability.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wisdom Ebirim, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Nwakamma Ninduwezuor-Ehiobu, Favour Oluwadamilare Usman, Kehinde Andrew Olu-lawal
This review delves into the significance of Agile Project Management (APM) in fostering innovation within the realm of energy-efficient Heating, Ventilation, and Air Conditioning (HVAC) solutions. As the global focus intensifies on sustainability and energy conservation, the HVAC industry stands at the forefront of addressing environmental challenges through innovative technologies. Agile methodologies, originally developed for software development, have transcended their conventional domains to revolutionize project management across various industries. This review explores how the application of Agile principles can catalyze innovation in energy-efficient HVAC solutions. Firstly, it delineates the core tenets of Agile Project Management, emphasizing iterative development, adaptive planning, and customer collaboration. By prioritizing flexibility and responsiveness to change, Agile methodologies empower HVAC project teams to swiftly adapt to evolving customer needs and technological advancements. This agility is particularly crucial in the HVAC sector, where rapid technological innovations necessitate quick iterations and constant feedback loops to refine energy-efficient solutions. Furthermore, the review elucidates how Agile frameworks such as Scrum and Kanban facilitate cross-functional collaboration and enhance communication within HVAC project teams. By fostering a collaborative environment that encourages transparency and knowledge sharing, Agile methodologies cultivate a culture of innovation wherein team members can experiment with novel ideas and swiftly pivot based on market feedback. Moreover, this review underscores the role of Agile Project Management in mitigating risks associated with innovation in energy-efficient HVAC solutions. Through frequent iterations and incremental delivery, Agile methodologies enable HVAC project teams to identify potential bottlenecks and address them proactively, thereby reducing project risks and enhancing overall project success rates. This review highlights the transformative potential of Agile Project Management in driving innovation within the energy-efficient HVAC industry. By embracing Agile methodologies, HVAC project teams can navigate the complexities of innovation more effectively, accelerate time-to-market for energy-efficient solutions, and ultimately contribute to the sustainable transformation of the HVAC sector. Keywords: Agile, Project Management, Innovation, Energy-Efficient, HVAC, Review.
{"title":"THE ROLE OF AGILE PROJECT MANAGEMENT IN DRIVING INNOVATION IN ENERGY-EFFICIENT HVAC SOLUTIONS","authors":"Wisdom Ebirim, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Nwakamma Ninduwezuor-Ehiobu, Favour Oluwadamilare Usman, Kehinde Andrew Olu-lawal","doi":"10.51594/estj.v5i3.864","DOIUrl":"https://doi.org/10.51594/estj.v5i3.864","url":null,"abstract":"This review delves into the significance of Agile Project Management (APM) in fostering innovation within the realm of energy-efficient Heating, Ventilation, and Air Conditioning (HVAC) solutions. As the global focus intensifies on sustainability and energy conservation, the HVAC industry stands at the forefront of addressing environmental challenges through innovative technologies. Agile methodologies, originally developed for software development, have transcended their conventional domains to revolutionize project management across various industries. This review explores how the application of Agile principles can catalyze innovation in energy-efficient HVAC solutions. Firstly, it delineates the core tenets of Agile Project Management, emphasizing iterative development, adaptive planning, and customer collaboration. By prioritizing flexibility and responsiveness to change, Agile methodologies empower HVAC project teams to swiftly adapt to evolving customer needs and technological advancements. This agility is particularly crucial in the HVAC sector, where rapid technological innovations necessitate quick iterations and constant feedback loops to refine energy-efficient solutions. Furthermore, the review elucidates how Agile frameworks such as Scrum and Kanban facilitate cross-functional collaboration and enhance communication within HVAC project teams. By fostering a collaborative environment that encourages transparency and knowledge sharing, Agile methodologies cultivate a culture of innovation wherein team members can experiment with novel ideas and swiftly pivot based on market feedback. Moreover, this review underscores the role of Agile Project Management in mitigating risks associated with innovation in energy-efficient HVAC solutions. Through frequent iterations and incremental delivery, Agile methodologies enable HVAC project teams to identify potential bottlenecks and address them proactively, thereby reducing project risks and enhancing overall project success rates. This review highlights the transformative potential of Agile Project Management in driving innovation within the energy-efficient HVAC industry. By embracing Agile methodologies, HVAC project teams can navigate the complexities of innovation more effectively, accelerate time-to-market for energy-efficient solutions, and ultimately contribute to the sustainable transformation of the HVAC sector. \u0000Keywords: Agile, Project Management, Innovation, Energy-Efficient, HVAC, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"37 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba
The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. Keywords: IT, Emission, Reduction, Oil and Gas, Review.
石油和天然气行业是温室气体排放的重要来源,因此整合先进的 IT 解决方案对于减少排放势在必行。本研究评估了整合先进 IT 解决方案在减少石油和天然气行业排放方面的有效性。研究采用混合方法,通过文献综述结合定性分析,通过案例研究和数据分析结合定量分析。文献综述确定了目前可用的各种先进 IT 解决方案,如物联网 (IoT)、人工智能 (AI) 和大数据分析,以及它们在石油和天然气行业减排中的潜在应用。本报告还进行了案例研究,以考察业内领先企业在现实世界中实施这些解决方案的情况。通过这些案例研究,我们可以深入了解与整合先进 IT 解决方案促进减排相关的挑战、益处和最佳实践。此外,还进行了定量数据分析,根据二氧化碳当量(CO2e)排放和能效提高等减排指标,评估这些 IT 解决方案对环境的影响。研究结果表明,先进信息技术解决方案的集成为石油和天然气行业的减排带来了巨大希望。物联网传感器可实现实时监控和优化操作,减少生产过程中的排放。人工智能算法加强了预测性维护,优化了设备性能,最大限度地减少了逃逸源的排放。大数据分析有助于进行全面的排放跟踪和报告,从而实现积极主动的排放管理策略。总之,这项研究有助于深入了解先进信息技术解决方案在减少石油天然气行业排放方面的潜力,并为行业从业人员、政策制定者和研究人员提供有价值的见解。关键词信息技术 减排 石油天然气 评论
{"title":"EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR","authors":"Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba","doi":"10.51594/estj.v5i3.862","DOIUrl":"https://doi.org/10.51594/estj.v5i3.862","url":null,"abstract":"The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. \u0000Keywords: IT, Emission, Reduction, Oil and Gas, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"12 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, the intersection of finance and sustainability has garnered significant attention as the global community grapples with the urgent need to address environmental challenges. This abstract explores the role of fintech innovations in supporting green finance through data-driven approaches. Fintech, characterized by its use of technology to enhance financial services, has emerged as a key driver of sustainability by leveraging data analytics, machine learning, and blockchain technology to promote environmental sustainability and facilitate green investments. Fintech innovations are revolutionizing green finance by providing investors, businesses, and consumers with tools and platforms to make informed decisions that align with sustainability objectives. By harnessing the power of big data and advanced analytics, fintech companies are able to analyze vast amounts of environmental, social, and governance (ESG) data to assess sustainability risks and opportunities, develop sustainable investment strategies, and track the environmental impact of financial portfolios. One of the key contributions of fintech to green finance is the development of sustainable investment platforms that enable investors to allocate capital towards environmentally friendly projects and companies. These platforms leverage data analytics to screen investments based on ESG criteria, provide transparency into the environmental footprint of investments, and empower investors to make sustainable choices that align with their values and preferences. Furthermore, fintech innovations are facilitating the integration of green finance principles into traditional financial services, such as banking, lending, and insurance. By leveraging blockchain technology, fintech companies are enhancing transparency, traceability, and efficiency in sustainable supply chains, carbon trading, and renewable energy financing. However, challenges remain in harnessing the full potential of data-driven sustainability in fintech. These challenges include data privacy and security concerns, regulatory uncertainties, and the need for greater collaboration and standardization among stakeholders. In conclusion, data-driven sustainability represents a transformative force in green finance, with fintech innovations playing a pivotal role in driving the transition to a more sustainable and resilient financial system. By leveraging data analytics and technology, fintech companies are empowering stakeholders to make informed decisions that promote environmental stewardship and support the transition to a low-carbon economy. Keywords: Data-Driven, Sustainability, Fintech, Innovation, Green Finance.
{"title":"DATA-DRIVEN SUSTAINABILITY: HOW FINTECH INNOVATIONS ARE SUPPORTING GREEN FINANCE","authors":"Wihelmina Afua Addy, Onyeka Chrisanctus Ofodile, Omotoya Bukola Adeoye, Adedoyin Tolulope Oyewole, Chinwe Chinazo Okoye, Olubusola Odeyemi, Yinka James Ololade","doi":"10.51594/estj.v5i3.871","DOIUrl":"https://doi.org/10.51594/estj.v5i3.871","url":null,"abstract":"In recent years, the intersection of finance and sustainability has garnered significant attention as the global community grapples with the urgent need to address environmental challenges. This abstract explores the role of fintech innovations in supporting green finance through data-driven approaches. Fintech, characterized by its use of technology to enhance financial services, has emerged as a key driver of sustainability by leveraging data analytics, machine learning, and blockchain technology to promote environmental sustainability and facilitate green investments. Fintech innovations are revolutionizing green finance by providing investors, businesses, and consumers with tools and platforms to make informed decisions that align with sustainability objectives. By harnessing the power of big data and advanced analytics, fintech companies are able to analyze vast amounts of environmental, social, and governance (ESG) data to assess sustainability risks and opportunities, develop sustainable investment strategies, and track the environmental impact of financial portfolios. One of the key contributions of fintech to green finance is the development of sustainable investment platforms that enable investors to allocate capital towards environmentally friendly projects and companies. These platforms leverage data analytics to screen investments based on ESG criteria, provide transparency into the environmental footprint of investments, and empower investors to make sustainable choices that align with their values and preferences. Furthermore, fintech innovations are facilitating the integration of green finance principles into traditional financial services, such as banking, lending, and insurance. By leveraging blockchain technology, fintech companies are enhancing transparency, traceability, and efficiency in sustainable supply chains, carbon trading, and renewable energy financing. However, challenges remain in harnessing the full potential of data-driven sustainability in fintech. These challenges include data privacy and security concerns, regulatory uncertainties, and the need for greater collaboration and standardization among stakeholders. In conclusion, data-driven sustainability represents a transformative force in green finance, with fintech innovations playing a pivotal role in driving the transition to a more sustainable and resilient financial system. By leveraging data analytics and technology, fintech companies are empowering stakeholders to make informed decisions that promote environmental stewardship and support the transition to a low-carbon economy. \u0000Keywords: Data-Driven, Sustainability, Fintech, Innovation, Green Finance.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"66 s7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140254961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Favour Oluwadamilare Usman, Emmanuel Chigozie Ani, Wisdom Ebirim, Danny Jose Portillo Montero, Kehinde Andrew Olu-lawal, Nwakamma Ninduwezuor-Ehiobu
Integrating renewable energy solutions into the manufacturing industry presents a critical pathway towards achieving sustainability and reducing carbon footprints. This review paper aims to explore the challenges and opportunities associated with the adoption of renewable energy technologies in manufacturing settings. Through a comprehensive analysis of existing literature and case studies, the paper identifies key barriers to integration, including high initial costs, technological limitations, and the need for skilled workforce. Additionally, it examines the role of policy frameworks, financial incentives, and technological advancements in facilitating the transition towards renewable energy. The methodology involves a systematic review of peer-reviewed articles, industry reports, and governmental policies related to renewable energy adoption in the manufacturing sector. The paper highlights the importance of strategic planning, investment in research and development, and collaboration between stakeholders as essential components for successful integration. Key findings suggest that while challenges remain significant, the opportunities for cost savings, improved energy efficiency, and enhanced corporate reputation make a compelling case for the shift towards renewable energy. The paper concludes that with supportive policies, continuous technological innovation, and stakeholder engagement, the manufacturing industry can overcome existing hurdles and significantly contribute to global sustainability goals. The review calls for further research into scalable and sector-specific renewable energy solutions to facilitate wider adoption across the manufacturing industry. Keywords: Renewable Energy, Technological Innovation, Policy and Regulatory Support, Financial Mechanisms, Capacity Building, Infrastructure Development, Market Development.
{"title":"INTEGRATING RENEWABLE ENERGY SOLUTIONS IN THE MANUFACTURING INDUSTRY: CHALLENGES AND OPPORTUNITIES: A REVIEW","authors":"Favour Oluwadamilare Usman, Emmanuel Chigozie Ani, Wisdom Ebirim, Danny Jose Portillo Montero, Kehinde Andrew Olu-lawal, Nwakamma Ninduwezuor-Ehiobu","doi":"10.51594/estj.v5i3.865","DOIUrl":"https://doi.org/10.51594/estj.v5i3.865","url":null,"abstract":"Integrating renewable energy solutions into the manufacturing industry presents a critical pathway towards achieving sustainability and reducing carbon footprints. This review paper aims to explore the challenges and opportunities associated with the adoption of renewable energy technologies in manufacturing settings. Through a comprehensive analysis of existing literature and case studies, the paper identifies key barriers to integration, including high initial costs, technological limitations, and the need for skilled workforce. Additionally, it examines the role of policy frameworks, financial incentives, and technological advancements in facilitating the transition towards renewable energy. The methodology involves a systematic review of peer-reviewed articles, industry reports, and governmental policies related to renewable energy adoption in the manufacturing sector. The paper highlights the importance of strategic planning, investment in research and development, and collaboration between stakeholders as essential components for successful integration. Key findings suggest that while challenges remain significant, the opportunities for cost savings, improved energy efficiency, and enhanced corporate reputation make a compelling case for the shift towards renewable energy. The paper concludes that with supportive policies, continuous technological innovation, and stakeholder engagement, the manufacturing industry can overcome existing hurdles and significantly contribute to global sustainability goals. The review calls for further research into scalable and sector-specific renewable energy solutions to facilitate wider adoption across the manufacturing industry. \u0000Keywords: Renewable Energy, Technological Innovation, Policy and Regulatory Support, Financial Mechanisms, Capacity Building, Infrastructure Development, Market Development.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"61 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga
Advances in ultraprecision diamond turning have revolutionized manufacturing processes across various industries, offering unparalleled precision and surface quality in the fabrication of optical components, microfluidic devices, and advanced mechanical parts. This review delves into the techniques, applications, and future trends in ultraprecision diamond turning, highlighting recent advancements and potential trajectories. Techniques in ultraprecision diamond turning have evolved significantly, driven by innovations in machine design, tooling materials, and control systems. Diamond turning machines equipped with ultra-stiff structures, high-speed spindles, and advanced feedback mechanisms enable sub-nanometer level accuracy and surface finishes down to Angstrom levels. Additionally, advancements in single-point diamond turning (SPDT), fast tool servo (FTS), and deterministic microgrinding (DMG) techniques further enhance the versatility and precision of the process. Applications of ultraprecision diamond turning span a wide range of industries, including aerospace, automotive, biomedical, and telecommunications. In optics manufacturing, diamond turning facilitates the production of aspheric lenses, freeform optics, and diffractive optical elements with unprecedented accuracy, contributing to the development of high-performance imaging systems and laser applications. Moreover, in the biomedical field, diamond-turned microfluidic devices enable precise control over fluid flow and particle manipulation, empowering advancements in drug delivery systems and lab-on-a-chip technologies. Future trends in ultraprecision diamond turning are poised to address challenges related to scalability, multi-material processing, and in-situ metrology. Integration of adaptive control algorithms and machine learning techniques promises enhanced process stability and predictive maintenance, optimizing productivity and reducing downtime. Furthermore, the development of hybrid manufacturing approaches, combining diamond turning with additive manufacturing or laser processing, offers novel avenues for fabricating complex, multi-functional components with improved efficiency and cost-effectiveness. The ongoing advancements in ultraprecision diamond turning techniques, coupled with diverse applications across industries, underscore its pivotal role in advancing manufacturing capabilities. Anticipated future trends hold promise for further expanding the scope and impact of this technology, driving innovation and pushing the boundaries of precision engineering. Keywords: Ultraprecision, Diamond, Turning, Technique, Review.
{"title":"ADVANCES IN ULTRAPRECISION DIAMOND TURNING: TECHNIQUES, APPLICATIONS, AND FUTURE TRENDS","authors":"Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga","doi":"10.51594/estj.v5i3.869","DOIUrl":"https://doi.org/10.51594/estj.v5i3.869","url":null,"abstract":"Advances in ultraprecision diamond turning have revolutionized manufacturing processes across various industries, offering unparalleled precision and surface quality in the fabrication of optical components, microfluidic devices, and advanced mechanical parts. This review delves into the techniques, applications, and future trends in ultraprecision diamond turning, highlighting recent advancements and potential trajectories. Techniques in ultraprecision diamond turning have evolved significantly, driven by innovations in machine design, tooling materials, and control systems. Diamond turning machines equipped with ultra-stiff structures, high-speed spindles, and advanced feedback mechanisms enable sub-nanometer level accuracy and surface finishes down to Angstrom levels. Additionally, advancements in single-point diamond turning (SPDT), fast tool servo (FTS), and deterministic microgrinding (DMG) techniques further enhance the versatility and precision of the process. Applications of ultraprecision diamond turning span a wide range of industries, including aerospace, automotive, biomedical, and telecommunications. In optics manufacturing, diamond turning facilitates the production of aspheric lenses, freeform optics, and diffractive optical elements with unprecedented accuracy, contributing to the development of high-performance imaging systems and laser applications. Moreover, in the biomedical field, diamond-turned microfluidic devices enable precise control over fluid flow and particle manipulation, empowering advancements in drug delivery systems and lab-on-a-chip technologies. Future trends in ultraprecision diamond turning are poised to address challenges related to scalability, multi-material processing, and in-situ metrology. Integration of adaptive control algorithms and machine learning techniques promises enhanced process stability and predictive maintenance, optimizing productivity and reducing downtime. Furthermore, the development of hybrid manufacturing approaches, combining diamond turning with additive manufacturing or laser processing, offers novel avenues for fabricating complex, multi-functional components with improved efficiency and cost-effectiveness. The ongoing advancements in ultraprecision diamond turning techniques, coupled with diverse applications across industries, underscore its pivotal role in advancing manufacturing capabilities. Anticipated future trends hold promise for further expanding the scope and impact of this technology, driving innovation and pushing the boundaries of precision engineering. \u0000Keywords: Ultraprecision, Diamond, Turning, Technique, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"56 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Strategic partnerships in the satellite and telecommunications sectors have become increasingly vital as technological advancements and market complexities continue to evolve. This conceptual review delves into the significance of data analytics-enabled identification and capitalization of synergies within these partnerships. The fusion of satellite and telecommunications technologies presents unique opportunities for innovation and growth, but also challenges that necessitate strategic collaboration. By leveraging data analytics, organizations can effectively identify synergies between satellite and telecommunications services, leading to enhanced operational efficiencies, expanded service offerings, and improved customer experiences. Through a comprehensive analysis of available data, companies can pinpoint areas of overlap and complementary strengths, laying the foundation for mutually beneficial partnerships. The review explores the multifaceted nature of strategic partnerships in these sectors, emphasizing the importance of aligning technological capabilities, market strategies, and regulatory frameworks. It underscores the role of data analytics as a catalyst for informed decision-making, enabling stakeholders to anticipate market trends, optimize resource allocation, and mitigate risks. Furthermore, the review examines the implications of emerging technologies such as artificial intelligence, machine learning, and predictive analytics on partnership dynamics. These tools not only streamline data analysis processes but also empower organizations to proactively identify synergistic opportunities and adapt to evolving market dynamics in real-time. Through a synthesis of theoretical frameworks and empirical evidence, this review provides insights into the strategic imperatives guiding partnership formation and management in the satellite and telecommunications sectors. It underscores the need for a holistic approach that integrates technological expertise with business acumen and regulatory compliance to unlock the full potential of strategic collaborations. The review advocates for a proactive and data-driven approach to identifying and capitalizing on synergies within strategic partnerships in the satellite and telecommunications sectors. By harnessing the power of data analytics, organizations can navigate the complexities of the digital ecosystem, drive innovation, and achieve sustainable competitive advantage in an increasingly interconnected world. Keywords: Partnership, Telecommunication, Data Analytics, Capitalization, Enabled Identification, Review.
{"title":"STRATEGIC PARTNERSHIPS IN THE SATELLITE AND TELECOMMUNICATIONS SECTORS: A CONCEPTUAL REVIEW OF DATA ANALYTICS-ENABLED IDENTIFICATION AND CAPITALIZATION OF SYNERGIES","authors":"Nneka Adaobi Ochuba, Enyinaya Stefano Okafor, Olatunji Akinrinola, Favour Oluwadamilare Usman, Olukunle Oladipupo Amoo","doi":"10.51594/estj.v5i3.867","DOIUrl":"https://doi.org/10.51594/estj.v5i3.867","url":null,"abstract":"Strategic partnerships in the satellite and telecommunications sectors have become increasingly vital as technological advancements and market complexities continue to evolve. This conceptual review delves into the significance of data analytics-enabled identification and capitalization of synergies within these partnerships. The fusion of satellite and telecommunications technologies presents unique opportunities for innovation and growth, but also challenges that necessitate strategic collaboration. By leveraging data analytics, organizations can effectively identify synergies between satellite and telecommunications services, leading to enhanced operational efficiencies, expanded service offerings, and improved customer experiences. Through a comprehensive analysis of available data, companies can pinpoint areas of overlap and complementary strengths, laying the foundation for mutually beneficial partnerships. The review explores the multifaceted nature of strategic partnerships in these sectors, emphasizing the importance of aligning technological capabilities, market strategies, and regulatory frameworks. It underscores the role of data analytics as a catalyst for informed decision-making, enabling stakeholders to anticipate market trends, optimize resource allocation, and mitigate risks. Furthermore, the review examines the implications of emerging technologies such as artificial intelligence, machine learning, and predictive analytics on partnership dynamics. These tools not only streamline data analysis processes but also empower organizations to proactively identify synergistic opportunities and adapt to evolving market dynamics in real-time. Through a synthesis of theoretical frameworks and empirical evidence, this review provides insights into the strategic imperatives guiding partnership formation and management in the satellite and telecommunications sectors. It underscores the need for a holistic approach that integrates technological expertise with business acumen and regulatory compliance to unlock the full potential of strategic collaborations. The review advocates for a proactive and data-driven approach to identifying and capitalizing on synergies within strategic partnerships in the satellite and telecommunications sectors. By harnessing the power of data analytics, organizations can navigate the complexities of the digital ecosystem, drive innovation, and achieve sustainable competitive advantage in an increasingly interconnected world. \u0000Keywords: Partnership, Telecommunication, Data Analytics, Capitalization, Enabled Identification, Review.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"49 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Danny Jose Portillo Montero, Adeniyi Kehinde Adeleke
Intelligent Monitoring Systems (IMS) have emerged as indispensable tools in modern manufacturing, offering real-time insights into production processes, equipment performance, and quality control. This review provides an overview of the current state and future prospects of IMS in manufacturing environments. The current state of IMS in manufacturing involves the integration of advanced technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics. These systems collect vast amounts of data from sensors, machines, and production lines, enabling real-time monitoring and analysis of various parameters. By employing AI and ML algorithms, IMS can identify patterns, predict anomalies, and optimize production processes, leading to increased efficiency, reduced downtime, and improved product quality. IMS play a crucial role in predictive maintenance, where they can anticipate equipment failures before they occur, thereby minimizing unplanned downtime and maintenance costs. Moreover, IMS facilitate condition-based monitoring, allowing manufacturers to monitor the health and performance of machinery in real-time and schedule maintenance activities accordingly, optimizing resource allocation and prolonging equipment lifespan. Furthermore, IMS contribute to quality control by continuously monitoring production processes and detecting deviations from desired specifications. By leveraging AI-driven algorithms, IMS can automatically adjust process parameters to maintain product quality standards and minimize defects, thereby enhancing overall product reliability and customer satisfaction. Looking ahead, the future perspectives of IMS in manufacturing are promising, with advancements in areas such as edge computing, robotics, and augmented reality poised to revolutionize manufacturing operations further. Edge computing enables data processing and analysis to occur closer to the data source, reducing latency and enhancing real-time decision-making capabilities. Robotics integration with IMS facilitates autonomous manufacturing processes, while augmented reality technologies provide intuitive interfaces for operators to interact with IMS data in real-time. IMS represent a transformative technology in manufacturing, offering unprecedented levels of visibility, control, and optimization. As technology continues to evolve, IMS are poised to play an increasingly vital role in shaping the future of manufacturing, driving efficiency, productivity, and innovation.. Keywords: Monitoring, System, Intelligent, Manufacturing, Review, Perspectives.
{"title":"INTELLIGENT MONITORING SYSTEMS IN MANUFACTURING: CURRENT STATE AND FUTURE PERSPECTIVES","authors":"Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Danny Jose Portillo Montero, Adeniyi Kehinde Adeleke","doi":"10.51594/estj.v5i3.870","DOIUrl":"https://doi.org/10.51594/estj.v5i3.870","url":null,"abstract":"Intelligent Monitoring Systems (IMS) have emerged as indispensable tools in modern manufacturing, offering real-time insights into production processes, equipment performance, and quality control. This review provides an overview of the current state and future prospects of IMS in manufacturing environments. The current state of IMS in manufacturing involves the integration of advanced technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics. These systems collect vast amounts of data from sensors, machines, and production lines, enabling real-time monitoring and analysis of various parameters. By employing AI and ML algorithms, IMS can identify patterns, predict anomalies, and optimize production processes, leading to increased efficiency, reduced downtime, and improved product quality. IMS play a crucial role in predictive maintenance, where they can anticipate equipment failures before they occur, thereby minimizing unplanned downtime and maintenance costs. Moreover, IMS facilitate condition-based monitoring, allowing manufacturers to monitor the health and performance of machinery in real-time and schedule maintenance activities accordingly, optimizing resource allocation and prolonging equipment lifespan. Furthermore, IMS contribute to quality control by continuously monitoring production processes and detecting deviations from desired specifications. By leveraging AI-driven algorithms, IMS can automatically adjust process parameters to maintain product quality standards and minimize defects, thereby enhancing overall product reliability and customer satisfaction. Looking ahead, the future perspectives of IMS in manufacturing are promising, with advancements in areas such as edge computing, robotics, and augmented reality poised to revolutionize manufacturing operations further. Edge computing enables data processing and analysis to occur closer to the data source, reducing latency and enhancing real-time decision-making capabilities. Robotics integration with IMS facilitates autonomous manufacturing processes, while augmented reality technologies provide intuitive interfaces for operators to interact with IMS data in real-time. IMS represent a transformative technology in manufacturing, offering unprecedented levels of visibility, control, and optimization. As technology continues to evolve, IMS are poised to play an increasingly vital role in shaping the future of manufacturing, driving efficiency, productivity, and innovation.. \u0000Keywords: Monitoring, System, Intelligent, Manufacturing, Review, Perspectives.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"14 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ayodeji Abatan, Boma Sonimitiem Jacks, Ejike David Ugwuanyi, Zamathula Queen Sikhakhane Nwokediegwu, Alexander Obaigbena, Andrew Ifesinachi Daraojimba, Oluwaseun Augustine Lottu
The automotive manufacturing industry plays a pivotal role in global economic development, providing transportation solutions while simultaneously facing multifaceted challenges related to environmental health and safety (EHS) practices. This review investigates the indispensable role of EHS practices within the automotive manufacturing sector, highlighting their significance in mitigating environmental impact, ensuring workplace safety, and complying with regulatory standards. Effective EHS practices are integral to managing environmental sustainability within automotive manufacturing. These practices encompass waste management, emissions reduction, and resource conservation strategies aimed at minimizing the industry's ecological footprint. Additionally, the adoption of eco-friendly technologies and processes, such as renewable energy integration and material recycling, contributes to the industry's overall environmental stewardship. Furthermore, prioritizing workplace safety is imperative in the automotive manufacturing sector due to its inherently hazardous operational environments. EHS initiatives focus on risk assessment, hazard identification, and the implementation of preventive measures to safeguard employees from occupational injuries and illnesses. Moreover, fostering a culture of safety awareness through training programs and regular audits promotes a conducive working environment conducive to employee well-being and productivity. Compliance with regulatory standards is a cornerstone of EHS management in the automotive manufacturing industry. Adherence to local, national, and international regulations ensures operational legality and enhances corporate reputation. Through continuous monitoring and assessment, automotive manufacturers strive to stay abreast of evolving regulatory frameworks, thereby aligning their practices with industry best practices and societal expectations. The integration of robust EHS practices is indispensable for sustainable operations and corporate responsibility within the automotive manufacturing industry. By addressing environmental concerns, ensuring workplace safety, and meeting regulatory requirements, automotive manufacturers can uphold their commitment to environmental stewardship and social accountability while maintaining operational efficiency and competitiveness in the global market. Keywords: Environment, Health, Safety, Automotive, Manufacturing, Industry.
{"title":"THE ROLE OF ENVIRONMENTAL HEALTH AND SAFETY PRACTICES IN THE AUTOMOTIVE MANUFACTURING INDUSTRY","authors":"Ayodeji Abatan, Boma Sonimitiem Jacks, Ejike David Ugwuanyi, Zamathula Queen Sikhakhane Nwokediegwu, Alexander Obaigbena, Andrew Ifesinachi Daraojimba, Oluwaseun Augustine Lottu","doi":"10.51594/estj.v5i2.830","DOIUrl":"https://doi.org/10.51594/estj.v5i2.830","url":null,"abstract":"The automotive manufacturing industry plays a pivotal role in global economic development, providing transportation solutions while simultaneously facing multifaceted challenges related to environmental health and safety (EHS) practices. This review investigates the indispensable role of EHS practices within the automotive manufacturing sector, highlighting their significance in mitigating environmental impact, ensuring workplace safety, and complying with regulatory standards. Effective EHS practices are integral to managing environmental sustainability within automotive manufacturing. These practices encompass waste management, emissions reduction, and resource conservation strategies aimed at minimizing the industry's ecological footprint. Additionally, the adoption of eco-friendly technologies and processes, such as renewable energy integration and material recycling, contributes to the industry's overall environmental stewardship. Furthermore, prioritizing workplace safety is imperative in the automotive manufacturing sector due to its inherently hazardous operational environments. EHS initiatives focus on risk assessment, hazard identification, and the implementation of preventive measures to safeguard employees from occupational injuries and illnesses. Moreover, fostering a culture of safety awareness through training programs and regular audits promotes a conducive working environment conducive to employee well-being and productivity. Compliance with regulatory standards is a cornerstone of EHS management in the automotive manufacturing industry. Adherence to local, national, and international regulations ensures operational legality and enhances corporate reputation. Through continuous monitoring and assessment, automotive manufacturers strive to stay abreast of evolving regulatory frameworks, thereby aligning their practices with industry best practices and societal expectations. The integration of robust EHS practices is indispensable for sustainable operations and corporate responsibility within the automotive manufacturing industry. By addressing environmental concerns, ensuring workplace safety, and meeting regulatory requirements, automotive manufacturers can uphold their commitment to environmental stewardship and social accountability while maintaining operational efficiency and competitiveness in the global market. \u0000Keywords: Environment, Health, Safety, Automotive, Manufacturing, Industry.","PeriodicalId":113413,"journal":{"name":"Engineering Science & Technology Journal","volume":"55 162","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}