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什么是制造业的 OEE、OOE 和 TEEP? 

OEE, OOE, and TEEP are all metrics used to measure the effectiveness of manufacturing equipment. They each have a slightly different focus, but they all measure the same three factors: availability, performance, and quality. 

      • Overall Equipment Effectiveness (OEE) is the most common metric used to measure manufacturing equipment effectiveness. It is calculated by multiplying the availability, performance, and quality factors. A perfect OEE score is 100%, which means that the equipment is available 100% of the time, running at its full speed 100% of the time, and producing defect-free products 100% of the time. 

      • Overall Operations Effectiveness (OOE) is similar to OEE, but it takes into account unscheduled downtime. This means that OOE can be lower than OEE if there is a lot of unplanned downtime, such as for maintenance or repairs. 

      • Total Effective Equipment Performance (TEEP) is the most comprehensive metric of the three. It considers all available time, not just scheduled time. This means that TEEP can be lower than OEE or OOE if there is a lot of scheduled downtime, such as for holidays or maintenance. 

    Which metric is best for a particular manufacturing operation depends on the specific goals of the operation. For example, if the goal is to maximize production output, then OEE may be the best metric to use. However, if the goal is to minimize downtime, then OOE may be a better choice. And if the goal is to improve quality, then TEEP may be the best option. 

    How to use this indicators in real factory settings? 

        • Identifying areas for improvement: By tracking OEE, OOE, and TEEP, manufacturers can identify areas where they can improve the effectiveness of their equipment and processes. For example, if a machine has a low OEE score, the manufacturer can investigate the reasons for the downtime, such as unplanned maintenance or poor quality materials. 

        • Setting goals and targets: OEE, OOE, and TEEP can be used to set goals and targets for manufacturing operations. For example, a manufacturer may set a goal of increasing OEE by 5% in the next year. This goal can then be used to develop strategies for improving equipment availability, performance, and quality. 

        • 制定基准: OEE, OOE, and TEEP can be used to benchmark the performance of manufacturing operations against other companies in the same industry. This can help manufacturers identify areas where they are performing well and areas where they can improve. 

        • Cost savings: By improving OEE, OOE, and TEEP, manufacturers can save money on production costs. For example, reducing downtime can save on labor costs, and improving quality can reduce the cost of rework and scrap. 

      Here are some additional specific examples of how OEE, OOE, and TEEP have been used in manufacturing: 

          • A manufacturer of automotive components was able to increase OEE by 10% by implementing a new preventive maintenance program. 

          • A food and beverage company was able to reduce unplanned downtime by 50% by implementing a new root cause analysis methodology. 

          • A pharmaceutical company was able to improve quality by 20% by implementing a new training program for its operators. 

        By tracking OEE, OOE, and TEEP, manufacturers can gain valuable insights into the effectiveness of their equipment and processes. This information can be used to identify areas for improvement, set goals and targets, benchmark performance, and save money. 

        What digital solutions can help to measure these 3 indicators? 

            • 制造执行系统(MES): MES solutions collect data from production machines and systems, and then use this data to track and optimize production processes. MES solutions can be used to calculate OEE, OOE, and TEEP, and they can also be used to identify areas for improvement. 

            • Enterprise asset management (EAM): EAM solutions track the condition and performance of assets, such as production machines and equipment. EAM solutions can be used to calculate OEE, OOE, and TEEP, and they can also be used to schedule preventive maintenance and repairs. 

            • 质量管理系统(QMS): QMS solutions track the quality of products and processes. QMS solutions can be used to calculate OEE, OOE, and TEEP, and they can also be used to identify and address quality issues. 

            • Data analytics platforms: Data analytics platforms can be used to collect, store, and analyze data from a variety of sources. Data analytics platforms can be used to calculate OEE, OOE, and TEEP, and they can also be used to identify trends and patterns that can help manufacturers identify areas for improvement. 

          When choosing a digital solution to measure OEE, OOE, and TEEP, it is important to consider the specific needs of the manufacturing operation. Some factors to consider include the size and complexity of the operation, the type of data that needs to be collected, and the level of analysis that is required. 

          Ultimately, the best way to choose the right metric is to consider the specific needs of the manufacturing operation. By tracking the right metrics, manufacturers can identify areas where they can improve the effectiveness of their equipment and processes. 

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          工业软件专家

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