中小型制造商的传感、健康管理和控制现状。

Moneer Helu, Brian Weiss
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引用次数: 35

摘要

制造业数字技术的发展一直受到难以驾驭工业可用新技术广度的挑战。在没有很好地理解制造环境的能力和局限性的情况下开发的技术,特别是在中小型企业(SMEs)中,使这一困难更加复杂。本文描述了工业案例研究,以确定制造业中小企业在绩效测量、状态监测、诊断和预后方面的需求、优先事项和限制。这些案例研究的重点是来自几个工业部门的雇员少于500人的合同和原始设备制造商。解决方案和设备供应商以及美国国家标准与技术研究院(NIST) Hollings制造扩展合作伙伴关系(MEP)中心也包括在内。每个案例研究都包括与车间主要人员的讨论以及与一些参与者的实地考察。案例研究强调了中小企业对访问适当数据的强烈需求,以便更好地理解和规划制造业务。它们还有助于在制造操作的几个领域定义与工业相关的用例,包括调度支持、维护计划、资源预算和劳动力增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Current State of Sensing, Health Management, and Control for Small-To-Medium-Sized Manufacturers.

The development of digital technologies for manufacturing has been challenged by the difficulty of navigating the breadth of new technologies available to industry. This difficulty is compounded by technologies developed without a good understanding of the capabilities and limitations of the manufacturing environment, especially within small-to-medium enterprises (SMEs). This paper describes industrial case studies conducted to identify the needs, priorities, and constraints of manufacturing SMEs in the areas of performance measurement, condition monitoring, diagnosis, and prognosis. These case studies focused on contract and original equipment manufacturers with less than 500 employees from several industrial sectors. Solution and equipment providers and National Institute of Standards and Technology (NIST) Hollings Manufacturing Extension Partnership (MEP) centers were also included. Each case study involved discussions with key shop-floor personnel as well as site visits with some participants. The case studies highlight SME's strong need for access to appropriate data to better understand and plan manufacturing operations. They also help define industrially-relevant use cases in several areas of manufacturing operations, including scheduling support, maintenance planning, resource budgeting, and workforce augmentation.

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