Understanding your measurement system is critical to determine if it is good enough to use for your quality analyses and how to improve it or work around its limitations. JMP integrates the Evaluating the Measurement Process (EMP) statistical approach for using measurement data effectively. See a case study on how to use measurement data effectively. This webinar covers: EMP, Type 1 Gauge Analysis...
Click here to register JMP software is used extensively by the world’s major pharmaceutical companies for statistical analysis in R&D, quality by design (QbD), manufacturing, and clinical trial analysis. This makes JMP Student Edition a natural choice to teach statistical methods in pharmaceutical sciences. This webinar provides a survey of relevant JMP capabilities, so that if you’re considering ...
Video using JMP 19 was posted in August 2026. Control charts are useful to quantify the common-cause variation in a process and identify and eliminate special-cause variation. See how to interactively select and drag variables into zones where JMP automatically chooses an appropriate chart type based on the data and interactively change the chart settings or create another chart type. This webin...
Video using JMP 19 was posted in May 2026. A process that is off target, too variable or out of control can result in delays, rework, or defects, which in turn often lead to higher costs and unsatisfied customers. Because of this, it’s important to understand and quantify the sources of variation within a process. Q&A starts at ~29:00. See how to: Distinguish between common cause and special caus...
Jump into Gauge Studies
Date: Wednesday, October 15
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of measurement system analysis.
Register now!
If you have any questions about thi...
Jump into Control Charting
Date: Wednesday, August 6
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of statistical process control.
Register now!
If you have any questions about th...
Video using JMP 18 was posted in July 2025. Do you have a complex manufacturing process with many steps and tools that could contribute to poor yield or reduced quality? Do you have historical data about your yields that is tedious or time consuming to analyze and understand? Are you tasked with applying your understanding of your tools and processes to improve future yields? Are you facing prod...
測定システム分析（MSA）について、考え方や概念とともに、JMPでの操作方法、結果の見方などを解説したセミナーです。ゲージR&RやEMP分析、測定システム計画分析、バイアスと直線性などについて、JMPのデモとともに紹介しています。 ※本セミナーは、動画作成時点での最新バージョン「JMP 18.2.1」を使用しています。 ※プレゼン資料（Power Point）、Part 4で使用したデータは、本ページからダウンロードできます。 目次 Part 1. イントロダクション Part 2. 測定システム分析：ゲージR&Rにおける交差モデルと枝分かれモデル Part 3. EMP分析 Part 4. 実施例：測定システム分析計画から分析まで Part 5. バイアスと直線性 Part 1. イントロダクション（7分0秒） とりあえずゲージR&Rを実施してみるこの後のパートで説明すること...
Jump into Gauge Studies
Wednesday, June 18 | Live Web Workshop
1:00 p.m. – 2:30 p.m. ET
Hosted via Zoom
Registration Fee: FREE
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of measurement system analysis.
Register Now!
If you have any questions about this eve...
Video using JMP 18 was posted in June 2025. Do you need to identify routine (common-cause) and abnormal (special cause) process variation over time? Are you tasked with comparing how well a process is performing compared to its given spec limits or after a process is changed? Are you responsible for understanding stability and capability metrics for a large number of processes across time? ...
Jump into Control Charting
Wednesday, May 21 | Live Web Workshop
1:00 p.m. – 2:30 p.m. ET
Hosted via Zoom
Registration Fee: FREE
This online workshop is designed for intermediate to advanced users with at least one year of JMP experience who would like to dive deeper into quality. Attendees learn the basics of statistical process control.
Register Now!
If you have any questions about this...
Video was recorded in January 2025 using JMP 18. Are you a manufacturing engineer who supports day-to-day operations? Do you need to launch an effort to understand and optimize your process, but don’t know where to start? Would you like a straightforward way to visually summarize and explore your manufacturing data and then dig into process capability and root-cause analysis to help improve the...
See how to streamline Six Sigma DMAIC applications for better project management using JMP. Learn how to use the JMP Modern Six Sigma add-in to effectively integrate your DMAIC documentation, graphs, and workflows into a JMP Project and then save the workflow for reuse, editing, and sharing. This webinar covers using the JMP Modern Six Sigma add-in, using the JMP using the JMP Workflow Builder...
Eintauchen in beschleunigte Lebensdauertests zur Produktzuverlässigkeit Beschleunigte Lebensdauertests (ALT) sind für die Bewertung der Produktzuverlässigkeit von Teilen erforderlich, die über lange Zeiträume hinweg gut funktionieren müssen. Aufgrund der niedrigen Ausfallraten unter Einsatzbedingungen müssen Teile bei hohen Belastungen getestet werden, damit Ausfälle in einer angemessenen Zeits...
Get JMP software free for academic use at jmp.com/student Modern industrial processes can be very complex and require use of statistical quality control (SQC) methods for monitoring process behavior and maintaining outputs within specification. For many engineering students, learning SQC methods is central to preparing for the challenges they will face in their careers. This webinar demonstra...
Measurement System Analysis (MSA) is essential for validating measurement systems by evaluating their accuracy, stability, and precision. The Gauge Repeatability and Reproducibility (GR&R) study, a key MSA component, measures variability from equipment and process. See how to use the JMP Modern Six Sigma add-in to discover how to identify and quantify sources of variability in your measurement sys...
This video was updated in November 2024. Six Sigma Projects require many files to Define, Measure, Analyze, Improve and Control (DMAIC) your process. Use JMP for Six Sigma process improvement and manage your data, results and all related Six Sigma files within a JMP Project. (view in My Videos) See how to: Use a JMP Project (.jmpprj) file to organize a Sigma Sigma project using the DMAIC meth...
In the Define phase of a Six Sigma project, engineers identify the problem and set clear goals, creating a project charter to secure stakeholder support. The Measure phase then assesses process performance to ensure goals are SMART and aligned with organizational priorities. Learn how to kickstart your DMAIC-focused work assignments . (view in My Videos) See how to: Use the free JMP Modern Six...
Video was updated in September 2024. Audience Q&A begins ~time 28:39. (view in My Videos) See how to: Define MSA - An experiment designed to measure measurement system limitations to determine if measurement system is good enough to use or needs improvement Understand difference between Evaluting the Measurement Process (EMP) and Gage R&R EMP provides a statistical approach for using measu...
「工程能力」とは、安定状態にある工程のばらつきを仕様限界を基準に見たものです。「工程能力分析」は、工程の中心とばらつきを仕様限界に照らして要約した指標であり、工程が仕様限界内にどれくらいとどまっているかを調べることができます。 JMPでは、工程能力指数（Cp、Cpk、Pp、Ppkなど）を算出する機能はもちろん、指数とともに関連するさまざまなグラフを表示できるので、複数の工程に対する工程能力分析を探索的かつ効率的に行うことができます。 本動画では、JMPで工程能力分析を行う基本事項を示し、ゴールプロットや工程性能グラフなど、JMPで複数の工程を比較検討する際に役立つグラフとその利用方法をご紹介します。 JMPで工程能力分析が行えるプラットフォーム（赤枠） 本動画の操作は、JMPのサンプルデータで試すことができます。 サンプルデータは、JMPのメニューバーから [ヘルプ] >...
JMPは、以前のバージョンから管理図を描く機能が充実しており、近年のバージョンアップでもその機能は拡張されています。 本動画シリーズでは、JMPで管理図を作成するための基本操作から、計量値の管理図、計数値の管理図の特徴や作成方法について説明します。 本動画の操作は、JMPのサンプルデータで試すことができます。 サンプルデータは、JMPのメニューバーから [ヘルプ] > [サンプルの索引] を選択し、サンプルデータ名を検索することにより検索することができます。 ※本動画は、動画作成時点の最新バージョン（JMP 18.0.1）を用いています。 Part 1. JMPで管理図を作成するための基本操作Section 1.JMPで管理図を作成する2つの方法（8分46秒）Section 2. 管理図のテスト、オプション設定（10分25秒）Part 2. 計量値の管理図（11分56秒）Par...
半導体業界（素材、製造装置も含む）では、研究開発、品質・信頼性管理、製造、検査の各フェーズで活用できるJMPの機能があります。本動画では、JMPの概要や半導体業界での利用事例を紹介し、データ解析および統計解析におけるJMPの機能とその活用例についてデモンストレーションを交えて紹介します。最後にJMPを活用するためのリソースも紹介しています。半導体業界向けの事例の紹介、データ例になっていますが、製造業（電子部品、自動車、半導体以外の素材など）の研究、品質管理、製造などに従事されている方でも役立つ内容になっています。 スクリーンショット 2024-06-12 160427.png ※本動画、資料は、製作時点（2024年6月）での最新バージョン「JMP（JMP Pro）18.0.1」を用いています。 ※このページから、セミナーで使用した資料（pdf）をダウンロードできます。 目次 は...
JMP 18 and JMP Pro 18 offer many new capabilities . See a video of some of the key new capabilites and download the Journal to try some of the techniques yourself in JMP 18. Note, for several capabilites you will need JMP Pro 18. Watch the whole video below, or click on titles in the bullet list to see only the segments on the topic in the list. (view in My Videos) See how to use: New capabi...
In theory, there's no difference between theory and practice, but in practice, there is. Variability intervenes in the real world; accommodating this intentionally is part of a robust operation. Process models developed from DOE or data analysis can leveraged to determine operational range limits for reliable outcomes.
The JMP Design Space Profiler dynamically shows the rate of in-specification re...
Get JMP software free for academic use at jmp.com/student JMP’s interactive, no-code interface makes it an excellent choice for teaching statistics to future engineers. Its use by engineers at leading companies around the world makes it a valuable career skill, too. This JMP Academic webinar reviews the use of JMP to teach engineering statistics, from basic techniques such as regression and A...
This US session is held in English, 2:00 pm US Eastern Time. See how to use the JMP Sigma approach to understand and improve process capability. Learn to use JMP Project files to organize and execute Six Sigma projects in a single application by including data tables, scripts, and customized JMP reports with findings and conclusions to make it easy to present status updates on a moment’s notice. S...
Scopri come sfruttare le funzionalità interattive di JMP e il controllo dei processi statistici (SPC) per identificare variazioni dei processi di routine (causa comune) o anomale (causa particolare). Scopri come usare JMP per determinare se un processo è stabile e prevedibile, oltre che per monitorare l'impatto della regolazione di una variazione anomala. (view in My Videos)
Erfahren Sie, wie Sie die interaktiven JMP-Funktionen zur Qualitäts- und statistischen Prozesskontrolle einsetzen können, um routinemäßige (gängige Ursachen) oder anormale (besondere Ursachen) Prozessvariationen im Zeitverlauf aufzudecken. Sie lernen, wie Sie mit JMP herausfinden, ob ein Prozess stabil und vorhersagbar ist, und wie Sie die Wirkung einer Anpassung anormaler Variationen nachverfolg...
Découvrez comment exploiter les fonctions interactives de JMP en termes de qualité et de MSP (maîtrise statistique des procédés) en vue d'identifier toute variation du processus anormale (cause particulière) et de routine (cause courante) au fil du temps. Apprenez à utiliser JMP pour vous aider à déterminer si un processus est stable et prévisible, et à suivre l'impact de l'ajustement d'une variat...
See how to deploy JMP’s interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process variation over time. Learn how to use JMP to help you determine if a process is stable and predictable as well as how to track the impact of adjusting abnormal variation. Introduction: (view in My Videos) Examples: (view in My Videos)
(view in My Videos) Note: All the capabilities shown are in JMP 17, although JMP Pro 17 is used for the demo. The video includes Q&A and comments from the presenter Caleb King @calking about how MSA works plus plans for possible enhacements. See how to: Understand basics of MSA Design MSA primary focus is on decomposing variation in product measurements into distinct sources, with the go...
Video updated July 15, 2024 using JMP 18. JMP lets you deploy interactive quality and SPC capabilities to identify process variation over time, determine if a process is stable and predictable, and track the impact of adjusting abnormal variation. (view in My Videos) See how to: Learn how to deploy JMP's interactive quality and SPC capabilities Identify routine (common-cause) and abnormal ...
Presenter: @Florian_Vogt Erfahren Sie, wie Sie die interaktiven JMP-Funktionen zur Qualitäts- und statistischen Prozesskontrolle einsetzen können, um routinemäßige (gängige Ursachen) oder anormale (besondere Ursachen) Prozessvariationen im Zeitverlauf aufzudecken. Sie lernen, wie Sie mit JMP herausfinden, ob ein Prozess stabil und vorhersagbar ist, und wie Sie die Wirkung einer Anpassung ano...
Presnter: @flo_kussener Découvrez comment exploiter les excellentes fonctions interactives de JMP en termes de qualité et de MSP (maîtrise statistique des procédés) en vue d'identifier toute variation du processus anormale (cause particulière) et de routine (cause courante) au fil du temps. Apprenez à utiliser JMP pour vous aider à déterminer si un processus est stable et prévisible, et à suiv...
Presenter: @MassimoMartucci Scopri come sfruttare le funzionalità interattive di JMP e il controllo dei processi statistici (SPC) per identificare variazioni dei processi di routine (causa comune) o anomale (causa particolare). Scopri come usare JMP per determinare se un processo è stabile e prevedibile, oltre che per monitorare l'impatto della regolazione di una variazione anomala. Argomenti...
Presenter: @Stuart_Little See how to deploy JMP’s interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process variation over time. Learn how to use JMP to help you determine if a process is stable and predictable as well as how to track the impact of adjusting abnormal variation. (view in My Videos)
(view in My Videos)
See how to:
Address key assumptions for MSA (Parts do not change form over time and are not changed by measuring them)Overcome inability to repeat measurements when key MSA assumptions are violatedPerform and interpret desctructive test that assumes perfect material and likely overestimates part-to-part variation
Assume material within a lot or a batch is uniform
...
See how to: Deploy interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process variation over time Determine if a process is stable and predictable Build control charts using Control Chart Builder Evaluate process performance to specifications Establish, ...
See how to: Reduce spatial defect data to a few key clusters Correlate clusters and isolated defects to the manufacturing process in order to give direction for process improvements See how to: Examine multildimensional defects by going from a 2D to a 3D view of the defect Visually ...
(view in My Videos) See how to: Screen multiple processes over time Examine one process at a time using Control Chart BuilderExamine and compare multiple processes using Process Screening (view in My Videos) See how to: Understand process shift Subgroup sample sizeSet shift and outlier thresholdSet shift detection parameterInterpret Exponentially Weighted Moving Average (EWMA) ...
See how to compare and contrast situational usefulness of two methods for looking at lots of process variables at the same time: Model Driven Multivariate Control Charts (MDMCC) and Process Screening. (view in My Videos) Note: Q&A is included at ~ Times 16:28, 22:00, 23:56, 27:36, 40:24, 43:00 and 45:38. Resources 2020 JMP Discovery Summit Presentation, Fault Detection and Diagnosi...
Understand measurement system analysis principles, including comparing Gauge R&R to the EMP (Evaluating the Measurement Process) approach described by Don Wheeler in the book EMP III –Using Imperfect Data (2006). Use the attached data to use to practice using some of the techniques presented. The data, updated regularly, is also found at goldensnowball.com. ...