Abstracts

100 Years of the Control Chart: JMP Live Brings SPC to the Masses (2025-US-30MP-2553) Walter Shewhart delivered the first control chart more than 100 years ago, yet the integration of statistical process control (SPC) methodologies into real-world shop floors can be prohibitively burdensome. The engineers tasked with implementing SPC come up against challenges, including sourcing and integrating many different data formats, learning many intermediate tools that often do n...

Skill level: intermediate

Kevin Gaffney and others

So Many Designs, So Little Time: From Compare Designs to Design Explorer (2025-US-30MP-2569) With the numerous options available in JMP's Custom Design and DOE menus, choosing the right design can be overwhelming. In this session, we guide you through the process of evaluating and comparing different designs using the Compare Designs platform.We also explore the Design Explorer feature in Custom Design, highlighting its capabilities in JMP 19 to consider a variety of screening de...

Skill level: intermediate

Ryan Lekivetz JMP Statistical Discovery, LLC

Models, Bootstraps, and Monte Carlo...Oh My! Designing With Small Samples (2025-US-30MP-2503) In the development of new products or processes, sample sizes are often small. Even so, we want to make educated decisions about the performance of the new product or process. This presentation demonstrates the use of bootstrapping, modeling, and Monte Carlo simulation to understand how a process might perform, even with small samples. Because these tools are readily available i...

Skill level: intermediate

Dale Human

Using JMP to Improve and Automate Analytic Workflows in Complex Processes (2025-US-30MP-2498) Are your organization’s data practices inefficient and delivering inflexible reports? The ingredient company Amyris has built out the capabilities to generate an unprecedented scale of data in the synthetic biology industry by integrating automation, data capture, and analytics. A review of current data operations established that JMP is a powerful tool for scientific analysis methodologies a...

Skill level: beginner

Stefan Moser

Data Automation and Visualization for Accelerating Cell Therapy Development (2025-US-PO-2512) Cell therapy and analytical development workflows involve complex data that must be processed and visualized to provide meaningful insights. Our team at Takeda Pharmaceuticals U.S. Inc. aims to develop a streamlined, automated solution that enables lab users to visualize and analyze cell therapy data effectively. By automating the generation of processed data tables and dynamic dashboards, our...

Skill level: intermediate

Maria Reyna Fernandez

Automatically Updated Multivariate Control Charts with JMP Live (2025-US-PO-2526) This presentation examines a workflow created using a multivariate control chart for an industrial process system. First, a PLS model is created to predict a result from the process, such as yield or the protein content of a product, just to name a couple examples. From there, a model-driven multivariate control chart (MDMCC) is created, representing the variables crit...

Skill level: beginner

Drew Luebe

Understanding Key Decision Factors in Course Selection Using Choice Design (2025-US-PO-2417) Selecting the right Black Belt training program is a crucial decision for professionals seeking to enhance their expertise in Six Sigma methodologies. To understand the most influential factors in this decision-making process, I conducted a choice design experiment with more than 80 participants via LinkedIn polls. The study evaluated five key attributes, including pricing, training modality, ...

Skill level: intermediate

Matheus Sguissardi

Image Classification Example using JMP Pro Deep Learning Add-in (2025-US-PO-2460) At consumer product companies, it is important to develop forecasting stability models to predict product shelf life or long-term stability failure risk at the early stage of product development. Time-lapse photography (TLP) has been established as principal tool to measure physical stability of liquid consumer products. An AI/deep learning model had been previously developed using Python to p...

Skill level: advanced

Fangyi Luo and others

Automating Statistical Comparison Analyses with a JMP Add-In (2025-US-PO-2477) As a statistician working at a CDMO, I frequently conduct comparability studies on diverse data from various departments. These studies involve comparing methods, scales, sites, years, and more. Our general approach includes visual comparisons, variance tests, t-tests, and TOSTs. However, analyzing numerous variables and data sets can be time-consuming, particularly as TOSTs require manually enteri...

Skill level: intermediate

Abigail Collins

Using JMP as an SPC Interface (2025-US-PO-2533) Companies often rely on outdated software for statistical process control (SPC) to monitor manufacturing processes. Numerous other SPC programs are in use by industry, but companies often stick with legacy programs that make data analysis and presentation difficult for users. This poster presents a method to create SPC charts to present film thickness data for furnaces that are comm...

Skill level: intermediate

Cody Sandquist

Empowering Process Control: JMP for Predictive Models for Optimization (2025-US-PO-2496) In oil refining, a key optimization technique is to provide continuous online control to quality variables with infrequent sampling. It requires an empirical predictive model of the quality variable based on online process conditions. This model is then used as an inferred variable, which can be utilized in a continuous control algorithm. There are several pitfalls where models with strong fit stat...

Skill level: intermediate

Andrew Weaver

Semiconductor Spin Coating Application: Optimization of Coat Uniformity (2025-US-PO-2588) My project covers the application of solution coating onto a semiconductor wafer and the optimization of the process inputs. The goal is to improve targeting capability of outputting a consistent thickness and minimizing the thickness standard deviation, providing a more uniform thickness measurement across the entire surface of the wafer. The tools used in JMP include DOE, Fit Least Squares a...

Skill level: beginner

Nicholas Schlichter

Identifying Sentiment in Mistreatment of Reverse Mortgage Borrowers & Heirs (2025-US-PO-2411) Consumer advocacy organizations reviewing lawsuits against reverse mortgage lenders identify hostile treatment of older borrowers and their heirs. The Consumer Financial Protection Board (CFPB) collected official complaints and provides an analysis file (as of end of 2024). Borrowers’ reverse mortgages may be foreclosed for failure to pay taxes and assessment, failure to pay insurance, or fail...

Skill level: beginner

Lawrence Nitz

Evaluating the Impact of Torpedo Bats in Major League Baseball Using JMP (2025-US-PO-2409) Torpedo bats, which diverge from the traditional tapering bat shape, have drawn widespread attention following a surge in power production from players adopting them. While the spike in home runs has sparked public interest, this project investigates whether the unique bat design corresponds with measurable changes in player performance. Using MLB Statcast data accessed via PyBaseball and Baseball ...

Skill level: intermediate

Ryan Cooper and others

Ready to Retire? Multigenerational Financial Insights with JMP (2025-US-30MP-2431) In this presentation, we showcase the power of JMP to address a real-life question: Are we ready to retire based on our current financial situation and prospects? Using JMP's interactive platforms, we conduct multivariate analysis, graphic building, and text analytics to understand retirement trends across generations.Gen X faces unique retirement challenges, including potential savings shortfalls ...

Skill level: intermediate

Giselle Beeker and others

Connections Make the Difference: Connecting JMP to Aspen IP.21 Historians (2025-US-30MP-2291) Connecting to a data source is the first step in any analysis. But what if you don't know how to make the connection (and no one else does either)? This paper describes how we've used JMP to change our development chemists' and engineers' viewpoint of our process from the theoretical (i.e., "The process is supposed to work this way") to the practical (i.e., "Let us pull some data and see ...

Skill level: intermediate

Tom Bidwell olk

Using Images for Processing and Analysis (2025-US-30MP-2306) Images are an often-underutilized data source in analysis tasks. This presentation explores various methods for integrating images into JMP workflows, from importing and processing to use in modeling and experimental design. Using a fictional case study approach, this presentation begins by showing how to create, import, and use images in JMP data tables. Next, a free JMP Marketplace extensio...

Skill level: intermediate

Jed Campbell

Catching Typos with Test Data: Using JMP to Identify Serial Number Errors (2025-US-30MP-2542) In a high-mix, low-volume semiconductor manufacturing facility, devices are tested multiple times and at multiple temperatures throughout the process and tracked using manually entered serial numbers. While essential for traceability, manual data entry introduces the risk of transcription errors – leading to inconsistencies in device histories and potential misinterpretation of test...

Skill level: intermediate

Nathan Gambles

Automating Insight: Using JSL to Transform Console Logs (2025-US-30MP-2309) Any production environment can generate vast amounts of process logs, whether in manufacturing, software development, sales, or finance. Buried in these plain-text logs is valuable information that can be used to monitor system health, identify failure points, and drive continuous improvement. This presentation describes how the JMP DevOps team built an automated pipeline to convert unstructured co...

Skill level: intermediate

Melanie Drake JMP Statistical Discovery, LLC

Solve Costly Out-of-Control Processes with Control Chart Triage in JMP Live (2025-US-30MP-2462) It can be costly and stressful to learn about out-of-control processes late or to react to them with incomplete information. If you are one of the tens of thousands of JMP users working with control charts, you don't want to miss this talk. It gives you an early look at a much-requested JMP Live 19 feature that can help you find and resolve issues more quickly, more accurately, and more c...

Skill level: intermediate

Michael Goff and others

From Call Center Complexity to Data-Driven Clarity (2025-US-30MP-2551) This presentation demonstrates how JMP was instrumental in creating significant improvements within a call center that was facing challenges in understanding customer issues and optimizing service delivery. By using JMP's intuitive tools, including variability analysis, ANOVA, and Graph Builder, the team was able to create call categories and subcategories to bring clarity to the customer experienc...

Skill level: beginner

Sara Handa

Exploring Autonomous Vehicle Safety: A Reliability Analysis Powered by JMP (2025-US-30MP-2560) Artificial intelligence (AI) has become increasingly popular and widely adopted across various fields, with autonomous vehicles (AVs) emerging as one of its most visible and transformative applications. As AI technologies continue to advance, establishing the reliability of AVs is important for building public trust. Can we trust the safety of AVs? How does autonomy relate to safety? And what types...

Skill level: advanced

Simin Zheng and others

Advocates in Action – Stories of Cultural Change and Statistical Enablement Transforming a company’s analytics culture doesn’t happen overnight – it takes vision, persistence, and the right advocates in the right places. This plenary session brings together a range of voices from across industries to explore how statistical enablement gains momentum inside organizations, and how individuals at every level can help lead the charge. We’ll hear reflections from Margaret Wilso...

Advocates in Action: Stories of Cultural Change and Statistical Enablement Transforming a company’s analytics culture doesn’t happen overnight – it takes vision, persistence, and the right advocates in the right places. This plenary session brings together a range of voices from across industries to explore how statistical enablement gains momentum inside organizations, and how individuals at every level can help lead the charge. Margaret Wilson-Moses, Production Engineer...

Plenary

Meg Hermes and others

Metamodeling for Discrete-event Simulations in Manufacturing (2025-US-PO-2537) Our team has been developing discrete-event simulation models of process and packaging systems for several decades. In 2024, we adopted JMP to streamline and strengthen how we interpret statistical results from these models. Since simulation models can be time-consuming and expensive to run, we now use JMP to build surrogate metamodels, based on designed experiments that dramatically improve the ef...

Skill level: beginner

Shannon Browning

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