提升產品品質:深入解析六標準差DMAIC方法在品質改善的應用(分析流程全解析)
了解六標準差中的DMAIC方法,如何通過定義、測量、分析、改進和控制階段,幫助半導體行業實現持續改進產品質量。學習如何運用JMP工具進行統計分析和實驗設計,解決品質問題並優化製程。
了解六標準差中的DMAIC方法,如何通過定義、測量、分析、改進和控制階段,幫助半導體行業實現持續改進產品質量。學習如何運用JMP工具進行統計分析和實驗設計,解決品質問題並優化製程。
The quest for Tour de France glory has driven cyclists to transcend the boundaries of human potential. Transcending those boundaries has led some cyclists down the unscrupulous path of winning at any cost. This blog looks at past winners – both scrupulous and unscrupulous – to determine if today’s cyclists can be trusted.
當今製造業的競爭激烈,企業需要不斷尋求創新的方法來提高效率、降低成本並保持產品品質。在這個動態且複雜的環境中,統計分析工具成為了業界的一大利器,而其中一個廣泛應用的工具就是決策樹。決策樹是一種強大的統計模型,能夠幫助製造業解決各種問題,從產品缺陷分析到生產效率優化,再到供應鏈管理和品質控制。在這篇文章中,我們將探討何謂決策樹,其有哪些應用場景與使用技巧,以應對日益變化的市場需求。
實現卓越製造是每個企業追求的目標。為了達到這個目標,品質部門必須不斷努⼒識別製程變化的來源,並採取適當的措施來控制⽬標。 透過數據分析理解製程⽣產過程,不僅可以增加⽣產的靈活性,⽽且能確保產品更好地符合客戶要求。如何基於科學的數據分析實現卓越製造,是每家企業都面臨到了難題,本篇文章就要透過應用工程統計的角度,分享如何透過SPC來減少品質管理中的製程變異。
The 2024 NFL draft is here and with it comes the madness of the draft day derby. This blog post covers the NFL draft, specifically focusing on the quarterback position. With as many as six quarterbacks projected to be picked in the first round, 2024 is shaping up to be one of the wildest NFL drafts in history. Looking at recent history, a QB drafted in the first round has less than a 50% chance o...
Process analytical technology (PAT) is becoming increasingly important in the pharma industry, and other industries are starting to pick up on using PAT for their in-line, on-line, and at-line quality control measurements. For example, at the most recent European Discovery Summit, @Massimo Pampurini and @Sara Sorrentino, presented a poster on guaranteeing manufacturing process robustness by invest...
Hey there! You may remember me from my previous stint with JMP Statistical Discovery when I was a member of the Life Sciences group. Well, I’m back, and things are better than ever! Yes, they are. My return has generated a lot of questions both internal and external to JMP, but to answer the all-important question on why I returned to JMP, I first need to shed some light on why I decided to leave ...
Award-winning statistician Julia O’Neill presents at the JMP Explore biopharma event in Boston.
Do you want to improve your ability to use scripting to automate and enhance JMP? Have you thought about joining the JMP Scripters Club, but the early morning meetings (for U.S. western time zones) made it a non-starter? Read on to learn about the brand-new Western Chapter and more agreeable meeting times. Since JMP 4 was released in 2000, JMP users have been able to automate and extend JMP's c...
Did you know that a few years ago, a new HIV drug was released but was only licensed for men to use because it hadn't been tested for women, despite the fact that women are the majority of those living with HIV globally? This anecdote highlights the crucial importance of inclusivity in research and innovation, which is covered in the new edition of Stats Matter, JMP's LinkedIn newsletter, publi...
探索NBA從2004年到2023年的常規賽投籃數據,從400萬條記錄中揭示籃球宇宙的奧秘。使用JMP強大的視覺化功能,從投籃命中率到球隊的戰術偏好,一覽籃球場上的精彩瞬間和戰術創新。
Here are the journals shared in A Case Study in Using JMP Statistical Tools to Tackle Chemical Engineering Challenges, a two-part webinar hosted by AIChE.
JMP is expanding distance learning support to help instructors with the transition from classroom to online teaching. Read about free online resources and the support provided by the JMP Academic Team.
Pharmaceutical Process Development QbD Risk Assessments: What, Why, and How
Same vs. similar: Are shallots “close enough” to serve as a substitute for red onions?
Why limit yourself?