製造分析

製造分析

工業物聯網 (IIoT) 正在全速發展,其可增強連線性,生成資料並將潛能發揮到極致。現在需要充分利用此類數據。Altair 深知如何充分利用數據來推動創新,創造新機遇並加快智慧製造轉型。

ABI Research

製造業中的數據分析

瞭解 IIoT 數據分析領域,以及為什麼 Altair 被 ABI Research 評為頂尖創新者。

閱讀報告

實現基於數據的智慧運營

30 多年來,Altair 一直通過在整個產品生命週期中應用模擬、數據分析和優化來説明客戶完善產品設計和決策。

我們的團隊了解企業製造業務和數據分析的複雜性。我們擁有深厚的製造和機器學習專業知識,開發了多種解決方案,使各種技能水準的人員都能在我們的低代碼平臺上輕鬆構建分析應用程式,從而更快地做出更有效的決策。

瞭解 Altair 如何通過綜合自助數據分析和機器學習平臺使企業能夠在整個數據生命週期(從車間層到管理層)中利用運營資數據來提高價值並降低風險。

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我們如何就基於數據的智慧運營為您提供支援?

聯繫我們

預測策略、主動資產管理

製造環境中的計畫內或計畫外停機引發的成本可能會對運營造成不利影響。Altair 能夠使客戶輕鬆地即時監控設備運行狀況以及預測故障。我們能夠為企業提供所需的洞察,説明它們消除機器故障和計畫外停機,提高設備和生產線的生產力,以及降低維護成本。

瞭解預測分析

轉變保修流程

企業需要能夠訪問並準確地轉換來自多個來源的保修數據,還需要能夠選擇並應用相應的機器學習演算法瞭解洞察,並根據數據做出 設計、製造、材料選擇、文檔或服務變更決策。

我們能夠幫助製造商開發、管理和部署準確的解決方案來執行保修分析,包括根本原因分析服務包優化保修風險狀況分析。可以提供洞察,説明公司改善產品及提高聲譽,不斷完善產品設計,以及攔截保修欺詐,防止造成嚴重問題。

了解保修分析

特色資源

Ford Enhances Manufacturing Efficiency

Sheet metal stamping is fundamental to the automotive manufacturing industry. A vast array of different tool, die, and process combinations are employed to create an equally diverse array of components. Traditionally, identifying the optimum approach for each part has been a labor intensive and time-consuming task that requires engineering teams with high levels of skill and experience. This case study demonstrates how Altair Knowledge Studio, a general-purpose data analytics tool, can enable engineering managers and data analysts to deliver clear and quantifiable benefits in the manufacturing domain. For Ford, this is reflected in dramatic improvements in the speed and efficiency with which the best possible sheet metal stamping processes were selected.

Customer Stories

The Value of Data Analytics in the Smart Factory

Increase shop floor efficiency by identifying hidden indicators for future down times in your manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk.

Data Anaytics Summit 2020

Implement Effective Manufacturing Process Analytics

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall efficiency.

eGuide

Continuous Intelligence and the Smart Factory

The presentation will go through a scenario of a smart factory (along the lines of the Industry 4.0 initiative) where a chemical process within a pharmaceutical company produces a substance critical to the production of medications.

Conference Presentations
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