Standard Data Systems

2 Days | 1.4 CEUs



There are times when it is not practical to set standards with any direct measurement procedure. For example, if your operation has a high volume of different SKU’s, low production runs, or rapid changeover, then developing a standard data system is the appropriate way to generate work standards. As Marvin Mundel stated, “Rather than determine the standard time for each job on the basis of an individual study, standard times from a number of related jobs may be organized into a data base from which the standard times for related jobs may be constructed or synthesized.” 


This two-day course provides an in-depth understanding of standard data systems and the analytics involved in developing them within your organization. Multiple case studies show how to apply statistical tools to existing data in order to create accurate and reliable standard data systems.


Advantages of standard data include increased productivity in setting standards, a capability to set standards before production, increased consistency in standards, and a standardized way to provide information to other systems such as product cost estimating, computer assisted process planning, and MRP systems.




Upon completion of this course, you will be able to:



  • Define standard data systems 
  • Determine advantages and disadvantages of standard data systems 
  • Apply analytical tools to develop standard data models 
  • Develop standard data model 
  • Evaluate standard data models 




  • Introduction to Standard Data 
  • Microscopic 
  • Macroscopic 
  • Advantages 
  • Disadvantages 
  • Structure 
  • Regression and Correlation within Standard Data 
  • Developing Models 
  • Evaluating Models 
  • Applying Standard Data 


Participants will need to bring a computer running Excel® to the class. Case studies will require the use of the data analysis tool pack found in Excel®



IISE reserves the right to cancel a class up to 15 business days prior to the scheduled start date.


IISE reserves the right to cancel a class up to 15 business days prior to the scheduled start date

Registration Fee

Member: $795 Non-Member: $1,145

Course Schedule

No courses scheduled, contact James Swisher for availability