Suppr超能文献

《工业 4.0 技术在可持续物流中的应用:2012-2020 年的系统文献回顾,以探索未来的研究机会》

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012-2020) to explore future research opportunities.

机构信息

Department of Industrial Engineering, UiT-The Arctic University of Norway, Narvik, Norway.

School of Business, University of Plymouth, Plymouth, Devon, UK.

出版信息

Environ Sci Pollut Res Int. 2022 Feb;29(7):9560-9591. doi: 10.1007/s11356-021-17693-y. Epub 2021 Dec 10.

Abstract

Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today's competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at presenting quantitative insights and comprehensive overviews of the current and future research landscapes of sustainable logistics in the Industry 4.0 era. The results show that Industry 4.0 technologies provide opportunities for improving the economic efficiency, environmental performance, and social impact of logistics sectors. However, several challenges arise with this technological transformation, i.e., trade-offs among different sustainability indicators, unclear benefits, lifecycle environmental impact, inequity issues, and technology maturity. Thus, to better tackle the current research gaps, future suggestions are given to focus on the balance among different sustainability indicators through the entire lifecycle, human-centric technological transformation, system integration and digital twin, semi-autonomous transportation solutions, smart reverse logistics, and so forth.

摘要

如今,由于客户需求的多样化、严格的环境要求和全球竞争,市场竞争变得愈发激烈。对于企业来说,要想在当今竞争激烈的市场中生存和发展,最重要的因素之一就是其物流绩效。本文通过对 2012 年至 2020 年的 115 篇论文进行系统的文献分析,旨在呈现出在工业 4.0 时代,可持续物流领域当前和未来研究的现状和全面概述。研究结果表明,工业 4.0 技术为改善物流行业的经济效益、环境绩效和社会效益提供了机会。然而,随着技术转型,也出现了一些挑战,如不同可持续性指标之间的权衡取舍、利益不明确、生命周期环境影响、不公平问题和技术成熟度等。因此,为了更好地解决当前的研究差距,未来的建议是关注整个生命周期内不同可持续性指标之间的平衡、以人为中心的技术转型、系统集成和数字孪生、半自动运输解决方案、智能逆向物流等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c61/8783886/ed88ff8fc021/11356_2021_17693_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验