Mr.Steven Wachs

Area Of Expertise : Life Science
25 Years Of Experience
Training Industry : Life Sciences

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.  
 
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.
 
Education:
M.A., Applied Statistics, University of Michigan, 2002
M.B.A, Katz Graduate School of Business, University of Pittsburgh, 1992
B.S., Mechanical Engineering, University of Michigan, 1986

8 results Found
On-Demand Webinar

Modeling and Optimizing Process or Product Behavior Using Design of Experiments

Experimentation is frequently performed using trial and error approaches which are extremely inefficient and rarely lead to optimal solutions. Furthermore, when it’s desired to understand the effect of multiple variables on an outcome (response), “one-factor-a ...

  • Basic & Intermediate
  • 90 Mins
Recorded Webinar

Sample Size Determination for Design Validation Activities

Design Validation should ensure that product performance, quality, and reliability requirements are met.  In order to have high confidence that products will perform as intended, enough data must be collected and analyzed using various statistical methods. Sel ...

  • Basic & Intermediate
  • 90 Mins
Free Webinar

Useful Statistical Methods for Defining Product and Process Specifications

Scientists, Design Engineers, and Manufacturing/Process Engineers must develop product and process specifications that ensure that products delivered to customers perform their intended functions over time. If specifications are too wide, the risks of inadequa ...

  • Basic & Intermediate
  • 90 Mins
Recorded Webinar

Predicting Product Life with Reliability Analysis Methods

Participants will gain awareness of the overall methodology for setting reliability targets, estimating product reliability from test data and/or field data, and determining whether or not reliability targets are achieved.   Participants will also learn how to ...

  • Basic & Intermediate
  • 90 Mins
Free Webinar

Statistical Methods for Quality Improvement

This webinar introduces important statistical concepts and methods for making objective decisions to ensure and improve product quality. The methods have many applications including: Determining how well my process/product meets requirements Knowing when a ...

  • Intermediate
  • 90 Mins
Free Webinar

Stability Studies and Estimating Shelf Life with Regression Models

Manufacturers of foods, drugs, consumer goods, and other products must determine the shelf life of their products so that customers know when the product can be expected to perform as intended. Many approaches are available to quantify the "shelf life" and the ...

  • Intermediate
  • 90 Mins
Free Webinar

Acceptance Sampling for Process Validation and Production Lot Monitoring

Personnel involved in process validation and production control often rely on sampling methods to determine the suitability of a process before moving to production (process validation) or for checking production lots for acceptance. This webinar provides deta ...

  • Intermediate
  • 90 Mins
Recorded Webinar

Process Capability Assessment for Normal and Non-Normal Data

Companies must assure that their processes are capable of producing products and services that consistently meet customer specifications. This webinar discusses methods for estimating process capability for both normal and non-normal data. Pre-requisites for e ...

  • Intermediate
  • 75 Mins