This paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was accepted in AI EDAM and therefore the article in AI EDAM is being retracted. (In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high-performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet and are often hailed as pillars of a new industrial revolution. While an increasing number of companies are developing or already offer commercial cloud-based software packages and services for digital design and manufacturing, little work has been reported on providing a review of the state of the art of these commercial software and services as well as identifying research gaps in this field. The objective of this paper is to present a state-of-the-art review of digital design and manufacturing software and services that are currently available on the cloud. The focus of this paper is on assessing to what extent engineering design, engineering analysis, manufacturing, and production across all phases of the product development lifecycles can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial software and services, it can be concluded that almost all phases of product realization can be conducted through digital design and manufacturing software and services on the cloud. Finally, existing research gaps and related challenges to overcome are identified. The state-of-the-art review serves to provide a technology guide for decision makers in their efforts to select suitable cloud-based software and services as alternatives to existing in-house resources as well as to recommend new research areas.)

该论文（2016年5月）于2016年8月22日在AI EDAM在线发布，已被剑桥大学出版社撤回，因为其内容与已发表的ASME会议论文集非常相似。有问题的文章和ASME会议论文集已在同一时间提交给AI EDAM和ASME进行审查，但在论文被AI EDAM接受之前，版权已分配给ASME，因此AI EDAM中的文章被撤回。（近年来，全球工业国家已在新技术，软件和服务方面进行了大量投资，以利用网络物理系统，数据分析和高性能计算来推进数字设计和制造。许多此类举措，例如云技术基于设计和制造的技术属于所谓的工业4。0或工业互联网，通常被誉为新工业革命的支柱。尽管越来越多的公司正在开发或已经提供了用于数字设计和制造的基于商业云的软件包和服务，但有关对这些商业软件和服务的最新技术水平进行评估以及确定该领域的研究空白。本文的目的是介绍当前在云上可用的数字设计和制造软件及服务的最新技术综述。本文的重点是评估工程设计，工程分析，制造，产品开发生命周期所有阶段的生产已经可以基于通过云访问的软件和服务来执行。此外，还讨论了这些软件包和服务的关键功能和优势。根据对商业软件和服务的核心功能的评估，可以得出结论，产品实现的几乎所有阶段都可以通过云上的数字设计和制造软件和服务来进行。最后，确定了现有的研究差距和需要克服的相关挑战。最新的审查为决策者在选择合适的基于云的软件和服务作为现有内部资源的替代选择并推荐新的研究领域时提供技术指南。）讨论了这些软件包和服务的关键功能和优势。根据对商业软件和服务的核心功能的评估，可以得出结论，产品实现的几乎所有阶段都可以通过云上的数字设计和制造软件和服务来进行。最后，确定了现有的研究差距和需要克服的相关挑战。最新的审查为决策者在选择合适的基于云的软件和服务作为现有内部资源的替代选择并推荐新的研究领域时提供技术指南。）讨论了这些软件包和服务的关键功能和优势。根据对商业软件和服务的核心功能的评估，可以得出结论，产品实现的几乎所有阶段都可以通过云上的数字设计和制造软件和服务来进行。最后，确定了现有的研究差距和需要克服的相关挑战。最新的审查为决策者在选择合适的基于云的软件和服务作为现有内部资源的替代选择并推荐新的研究领域时提供技术指南。）可以得出结论，产品实现的几乎所有阶段都可以通过云上的数字设计和制造软件及服务来进行。最后，确定了现有的研究差距和需要克服的相关挑战。最新的审查为决策者在选择合适的基于云的软件和服务作为现有内部资源的替代选择并推荐新的研究领域时提供技术指南。）可以得出结论，产品实现的几乎所有阶段都可以通过云上的数字设计和制造软件及服务来进行。最后，确定了现有的研究差距和需要克服的相关挑战。最新的审查为决策者在选择合适的基于云的软件和服务作为现有内部资源的替代选择并推荐新的研究领域时提供技术指南。）