Content By Minitab Inc.

Minitab Inc.’s picture

By: Minitab Inc.

Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation.

Minitab Inc.’s picture

By: Minitab Inc.

Process validation is vital to the success of companies that manufacture pharmaceutical drugs, vaccines, test kits, and a variety of other biological products for people and animals. According to FDA guidelines, process validation is “the collection and evaluation of data, from the process design state through commercial production, which establishes scientific evidence that a process is capable of consistently delivering a quality product.”

Minitab Inc.’s picture

By: Minitab Inc.

Choosing the correct linear regression model can be difficult. Trying to model it with only a sample doesn’t make it any easier. Let’s review some common statistical methods for selecting models, complications you may face, and look at some practical advice for choosing the best regression model.

Minitab Inc.’s picture

By: Minitab Inc.

Anticipating challenges is always a daunting task for continuous improvement professionals. Unforeseen inefficiencies in process or defects in product development can throw timelines and associated costs into disarray. How to commit to realistic forecasts and timelines when resources are limited, or gathering real data is too expensive or impractical? Can simulated data be trusted for accurate predictions? That’s when Monte Carlo simulation comes in.

Minitab Inc.’s picture

By: Minitab Inc.

If you’re in line for a coffee at the local Starbucks, analysis conducted by graduate students at Rutgers University suggests that the probability of waiting more than five minutes for your tall, hot, three-pump, sugar-free vanilla, one-pump mocha, half-soy, half-nonfat latte with whip is very high.

Brandon Theiss and Matthew Brown used a reliability engineering project to combine their passions for Starbucks’ coffee and gathering and analyzing data with Minitab Statistical Software.

Minitab Inc.’s picture

By: Minitab Inc.

(Minitab: State College, PA) -- Minitab, developer of software for quality improvement, is offering a no-cost webinar, “Minitab 16 Tips and Tricks,” to help Minitab users of all skill levels operate Minitab 16 Statistical Software like an expert and quickly accomplish common tasks. The hour-long webinar will be held on Thurs., May 31, 2012 at 11 a.m. EDT. Participants will learn to navigate Minitab 16, with tips and tricks to easily import and manipulate data, summarize and explore results, and customize Minitab to quickly complete data analysis. Space is limited.

Minitab Inc.’s picture

By: Minitab Inc.

(Minitab: State College, PA) -- Minitab, a leading provider of software for quality improvement, is offering at no cost, an online preview training session on value-stream mapping, a technique used to analyze the flow of information and materials needed to bring products to customers.

Minitab Inc.’s picture

By: Minitab Inc.

(Minitab: State College, PA) -- Refine your quality improvement skills by attending Minitab’s Manufacturing Quality training series in Chicago, March 27–30, 2012. Professionals will have the opportunity to learn from an industry-seasoned Minitab trainer, who will emphasize techniques for improving quality in manufacturing. Minitab will offer the series at MicroTek, 3010 Highland Parkway, Downers Grove, Illinois 60515.

Minitab Inc.’s picture

By: Minitab Inc.

(Minitab: State College, PA) -- Minitab Inc. has released Minitab 16.2 Statistical Software, an update to the most recent version of the leading software used for quality improvement and statistics education. This update adds new tools to Minitab’s quality improvement arsenal.

Minitab Inc.’s picture

By: Minitab Inc.

C

otton. Given that it’s the most widely used fiber in clothing, you’re probably wearing some right now. We love cotton’s comfortable properties and soft feel. But as everyone who’s ironed a cotton shirt or pants knows, these same properties can make cotton-based fabric particularly prone to wrinkling.