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工厂运营可见性和智能
概述
可视化工厂运营数据是当今许多制造商面临的挑战。一些制造商今天正在推行的 IIoT 计划之一是提供工厂运营和机器健康状况的实时可见性。目标是提高制造效率。挑战在于组合和关联在性质、来源和生命周期方面差异很大的不同数据源。工厂运营可视性和智能 (FOVI) 旨在收集工厂车间生成的传感器数据、生产设备日志、生产计划和统计数据、操作员信息，并将所有这些信息和其他相关信息集成到云中。通过这种方式，它可以用来为生产设施带来可见性，分析和预测结果，并支持更好的改进决策。
适用行业
- 重型车辆
- 汽车
适用功能
- 离散制造
市场规模
工业控制和工厂自动化市场预计将从 2018 年的 1600 亿美元增长到 2024 年的 2695 亿美元，复合年增长率为 9.08%。
资料来源： 市场和市场
案例研究.
Case Study
Testing Engagement for a Fortune 500 Manufacturing Company
The client wanted to reduce operating costs while increasing efficiency and consistency within the IT and quality assurance organizations. Executive management mandated continuous process improvement, but the environment lacked consistent processes or tools to manage. A cost-effective software testing was needed.
Case Study
AGCO is Increasing the Efficiency of its Manufacturing Programs Using Glass
The thorough inspection of a finished product is an essential step in the quality-control process. In the beginning, quality checklists were accessed using paper on clipboards. As technology improved, computers were utilized. But computers required additional time to access, and couldn’t be carried to the equipment being inspected. Tablets replaced computers, but were easily broken and expensive to replace.
Case Study
Delphi Leverages the M1 for Prototyping and Final Part Production
As the automotive industry continues to tighten product development timelines, compressing design time in the supplier network has been the go-to model to achieve desired results. Traditionally, to successfully address the economics of part production, Delphi has used technologies like injection molding to deliver parts at scale. The cost of tooling development and time associated has limited part production to be focused on mass-production only.
