供应链管理中工业5.0和循环经济评价的综合决策框架

IF 6.6 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Seyyed Jalaladdin Hosseini Dehshiri
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引用次数: 0

摘要

由于竞争压力和对环境问题的认识,公司专注于提高供应链(SC)的弹性和可持续性。工业5.0 (I5.0)和人工智能是可以提高SCs弹性、效率和透明度的新技术的两个例子。此外,循环经济(CE)通过促进再利用、再循环、减少废物和资源消耗来支持可持续发展。本研究建议将I5.0和CE整合到SC中以实现可持续性。提出了一种利用z数来评价解的决策方法。本文利用z数对简化最佳-最差法(SBWM)和组合折衷解(CoCoSo)方法进行了扩展,以评估SC中I5.0和CE的实施方案。该方法根据不同的决策情况提供了灵活的答案和可靠的结果。并进行了基于不同技术的对比分析和灵敏度分析。注意适当的投资成本、适当的投资风险、绿色因素和环境友好程序的增长是最显著的子标准,显著性分别为0.232、0.150和0.139。结果表明,在Z-CoCoSo方法中,发展数字基础设施和合适的信息系统、提供资金和开发吸引投资、建立产品跟踪信息系统是最合适的实施方案,得分分别为4.703、4.335和3.864。对各种情况进行比较分析和审查的结果也证实了解决办法的优先性。数字基础设施和信息系统加强了sc的协调和速度。投资先进技术、升级设备、吸引投资者可以降低金融风险。此外,使用产品跟踪系统可以提高透明度,支持可持续性,并确保符合环境法规。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An integrated decision-making framework for evaluating Industry 5.0 and Circular Economy in supply chain management using Z-numbers
Due to competitive pressures and awareness of environmental issues, companies focus on improving resilience and sustainability in the Supply Chain (SC). Industry 5.0 (I5.0) and artificial intelligence are two examples of new technologies that can improve SCs' resilience, efficiency, and transparency. Additionally, the Circular Economy (CE) supports sustainability by promoting reuse, recycling, and reduction of waste and resource consumption. This research proposes integrating I5.0 and CE in SC to achieve sustainability. A decision approach using Z-numbers is developed to evaluate the solutions. A novel integrated framework including the Simplified Best-Worst Method (SBWM), and Combined Compromise Solution (CoCoSo) approaches, is extended using Z-numbers to evaluate the implementation solutions of I5.0 and CE in SC. This approach offers flexible answers and reliable findings based on different decision-making situations. Also, comparative analysis based on different techniques and sensitivity analysis are investigated. Paying attention to appropriate investment cost, suitable investment risk, and green factors and the growth of environmentally affable procedures were the most significant sub-criteria with the significance of 0.232, 0.150, and 0.139, respectively. The results indicated that the solutions for developing digital infrastructure and suitable information systems, providing financial resources and development and attraction of investment, and creating the information system for tracking products in the circular SC are the most appropriate implementation solutions in the Z-CoCoSo method with scores of 4.703, 4.335, and 3.864, respectively. The findings of comparative analysis and examination of various scenarios also confirmed the priority of the solutions. Digital infrastructure and information systems enhance coordination and speed in SCs. Investing in advanced technologies, upgrading equipment, and attracting investors can mitigate financial risks. Additionally, using product tracking systems boosts transparency, supports sustainability, and ensures compliance with environmental regulations.
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来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
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