人工智能是不确定环境下可持续工程决策的推动者:综述和未来主张

V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević
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引用次数: 0

摘要

目的可持续发展目标在当前环境中越来越重要。许多企业都热衷于采用可持续发展目标来获得竞争优势。调整目前可持续发展的工作方案存在某些挑战,可持续发展是社会的首要关切。许多公司正在采用可持续工程(SE)实践来解决这些问题。人工智能是一种新兴技术,可以帮助在不确定的环境中无效地采用可持续做法。在这方面,有必要回顾人工智能中SE领域的当前研究实践。本研究的目的是全面回顾人工智能SE领域的研究趋势。设计/方法/方法这项工作回顾了人工智能在不确定环境中用于SE决策的应用。SCOPUS数据库被考虑用于入围这些文章。给出了关于AI、SE和决策的具体关键词,共有127篇文章在暗示纳入和排除标准后入围。发现文献计量研究和网络分析旨在分析当前的研究趋势,并了解研究人员和国家之间的研究合作。通过使用结构主题建模(STM)确定了新出现的研究主题,并对其进行了进一步讨论。研究局限性/含义为未来的研究方向提出了与每个研究主题相对应的研究命题。最后,讨论了本研究的意义。原创性/价值这项工作借助文献计量学研究、网络分析和STM,对人工智能在SE中的应用领域的文章进行了系统综述。
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Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions
Purpose Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI. Design/methodology/approach This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria. Findings Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further. Research limitations/implications Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed. Originality/value This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.
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来源期刊
CiteScore
9.40
自引率
0.00%
发文量
31
期刊介绍: The Journal of Global Operations and Strategic Sourcing aims to foster and lead the international debate on global operations and strategic sourcing. It provides a central, authoritative and independent forum for the critical evaluation and dissemination of research and development, applications, processes and current practices relating to sourcing strategically for products, services, competences and resources on a global scale and to designing, implementing and managing the resulting global operations. Journal of Global Operations and Strategic Sourcing places a strong emphasis on applied research with relevant implications for both knowledge and practice. Also, the journal aims to facilitate the exchange of ideas and opinions on research projects and issues. As such, on top of a standard section publishing scientific articles, there will be two additional sections: "The Industry ViewPoint": in this section, industrial practitioners from around the world will be invited (max 2 contributions per issue) to present their point of view on a relevant subject area. This is intended to give the journal not just an academic focus, but a practical focus as well. In this way, we intend to reflect a trend that has characterised the past few decades, where interests and initiatives in research, academia and industry have been more and more converging to the point of collaborative relationships being a common practice. "Research Updates - Executive Summaries". In this section, researchers around the world will be given the opportunity to present their research projects in the area of global sourcing and outsourcing by means of an executive summary of their project. This will increase awareness of the on-going research projects in the area and it will attract interest from industry.
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