Abstract/摘要

Today’s manufacturers face ever-increasing demands of variability—greater customization, smaller lot sizes, sudden supply-chain changes and disruptions. Successful manufacturers will have to choose and incorporate technologies that help them quickly adapt to rapid change and to elevate product quality while optimizing use of energy and resources. These technologies form the core of an emerging, information-centric, Smart Manufacturing System that maximizes the flow and re-use of data throughout the enterprise. The ability of disparate systems, however, to exchange, understand, and exploit product, production, and business data rests critically on information standards. This report provides a review of the body of pertinent standards — a standards landscape—upon which future smart manufacturing systems will rely. This landscape comprises integration standards within and across three manufacturing lifecycle dimensions: product, production system, and business. We discuss opportunities and challenges for new standards, and present emerging activities addressing these opportunities. This report will allow manufacturing practitioners to better understand those standards useful to integration of smart manufacturing technologies.

当前制造业面临客户日益增长的个性化需求、更小的批量、供应链的快速变化和波动。成功的企业将迅速选择和接纳那些帮助它们的技术，利用它们解决快速变化和提高产品质量，同时优化能源与资源利用。这些技术主要来自于能够最大化利用贯穿企业的数据流为核心的新兴的、以信息为中心的、智能制造系统技术。这种全新的系统具有基于信息标准的信息交换、理解外部系统、开发产品、组织生产、标准化业务数据的能力。这份报告提供了未来智能制造系统所依赖的有关标准的体系评估。这份标准体系包含了三大制造生命周期维度（产品、生产系统与业务生命周期）内部及之间的集成标准。我们讨论了有关新标准的机遇和挑战，以及这些机遇所展现的新兴活动。这份报告意在制造业从业人员能更好的理解那些在智能制造集成技术有用的标准。

Disclaimer/免责声明

Certain commercial systems are identified in this paper. Such identification does not imply recommendation or endorsement by NIST; nor does it imply that the products identified are necessarily the best available for the purpose. Further, any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of NIST or any other supporting U.S. government or corporate organizations.

本文提到了某些商业系统。这样的说明并不意味着NIST推荐或认可；也不意味着这些提到的产品是某种可能最好的选择。此外，这份材料中的任何意见、结果、结论或建议只是作者的个人表达，并不一定反映NIST或美国或任何其他支持美国政府或企业组织的意见。