キャプテラ - 日本企業の最適な
ソフトウェア選びをサポートし17年
Senseye PdMとは？
Senseye PdMは、Fortune 500社の産業企業によって、規模に応じたリアルタイムで自動の資産状況モニタリングと予測に使用されています。Senseye PdM CompleteTMは、受賞歴のあるプロダクト・マネージャー (PdM) 向けソフトウェアと専門的なマネージド・サービスを組み合わせ、高い投資収益率の実現に向けてセットアップとガイドを提供します。
Senseye PdMを使用することで、さまざまなセクターの組織が計画外のダウンタイムを半減させ、スペア・パーツの在庫を合理化し、メンテナンス・コストを最大40%削減することに成功しました。
Senseye PdMの対象ユーザー
Senseyeは、自動車、製造、重工業などの業界において世界中のFortune 500企業の顧客が毎週予定外のダウンタイムとメンテナンス・コストを何百万ドルも削減することができるよう支援しています。
Senseye PdMをご存知でしょうか？
別の人気製品との比較
Senseye PdM
Senseye PdMの他のおすすめ代替製品
Senseye PdMの評判・レビュー
Senseye PdM
製品を使ってみた感想： As a result of the successful implementation of the Senseye PdM system at Jupiter Road, a number of potential breakdowns were avoided. With the support of the system, lost time has been avoided by completing preventative maintenance during periods of scheduled downtime, prior to the degradation and catastrophic failure of an asset. Further to the system’s ability to detail the issues with the site’s assets, it has also been used to confirm if the machines are in good health – and how exactly they operate under various conditions. This assurance has helped the team to confidently run the corrugator, to maximise production output.
良いポイント:
The following features have been used most effectively within Smurfit Kappa: - Compare Dashboards - Thresholds and Prognostics - Trend and anomaly detections
改善してほしい点:
The system performs a 120 hour learning period for each asset that in on-boarded to the system. In this time, the system 'learns' what the 'normal' operating levels (vibration and current) are for each unique asset. If an asset is in poor condition when the system is installed, however, the system learns that the poor condition is the normal condition.
use of Senseye within the steel industry
製品を使ってみた感想： One of the strongest elements of Senseye is the team behind it, they have worked well with our team in integrating and moulding Senseye to work in the hugely varying environment of the steel industry.
良いポイント:
Senseye as an application is important to the future of industries like steel, where margins are tight and resources are limited. This sort of predictive application will be critical to the success of the industry as it will give us confidence in the condition of our assets and allow us, along with the use of other condition systems, to carry out targeted maintenance based on the actual condition of our assets. This will have a significant benefit to the availability of our assets and minimise unplanned outages.
改善してほしい点:
I find the user interface to be a bit 'clunky' , if it could be easier to get to the issue and get the feedback in a slicker way that would make it much easier. As mentioned the notification system needs to be developed to notify by exception, and also look at different ways to send the notifications.
Using Senseye in a CNC machining context
製品を使ってみた感想： despite not having reached the results we needed I would still recommend their tool as long as you have made sure the Q of the data is adequate and able to pinpoint the failure you try to predict. It is not a magic system that sees failures out of any data, as it is often sold.
良いポイント:
the ease of integration and setup. the easy to use application The support and friendly nature of the team @ Senseye
改善してほしい点:
not getting the results we needed and it seems to have been over promised at sales pitches
Intuitive Senseye Software Scales Your Predictive Maintenance
製品を使ってみた感想：
I was aware of Senseye as a software application to scale prediction in industry and came across users when I was training front line engineers at Nissan UK, Senseye was new to them and like most they were not open to change. That soon turned around when we started seeing real results coming in as the Senseye software gained more data insights that they could see resulting in avoiding unplanned events.
I've found it very easy to navigate and as a former predictive practitioner could see the enormous benefits that scaling PdM brings; this was something we could only dream of just ten years ago!
良いポイント:
The intuitive dashboard is excellent for front line users to gain insights quickly and direct their attention to the important few assets thereby freeing up their limited resources. The feedback loop via the maintainers dashboard is great to alert the support team at Senseye of the type of anomalies found, this information then leverages the power of their machine learning algorithms to get from Predictive to Prognostic.
改善してほしい点:
Most of my experience is around the front end where the engineers and maintainers interact with the dashboard. The latest iteration has improved over time to fit the end users needs and become more intuitive. All of my concerns of a couple of years ago have now been improved due to the excellent support team at Senseye. It's great that they have engineers with predictive technology backgrounds that understand the challenges that users face daily in an industrial environment.
Great system that gievs me a good overview of the condition of motors and gearboxes
製品を使ってみた感想： Great so far and as we implement more features it is becoming more impressive
良いポイント:
The alert system that points me to the problem areas is invaluable, also the fact that i can scan over all the motors and gearboxes on my line without having to test each one individually is brilliant
改善してほしい点:
Id Like to be able to see the condition of all motors and gearboxes on one page as a quick glance rather than scrolling down a list
