Accession Number : AD1051605

Title :   Evaluating Process Improvement Courses of Action Through Modeling and Simulation

Descriptive Note : Technical Report,01 Jun 2014,30 Sep 2017

Corporate Author : Air Force Institute of Technology WPAFB United States

Personal Author(s) : Owens, Joseph R

Full Text :

Report Date : 16 Sep 2017

Pagination or Media Count : 114

Abstract : Quantifying an expected improvement when considering moderate-complexity changes to a process is time consuming and has potential to overlook stochastic effects. By modeling a process as a Numerical Design Structure Matrix (NDSM), simulating the proposed changes, and evaluating performance, quantification can be rapidly accomplished to understand stochastic effects. This thesis explores a method to evaluate complex process changes within Six Sigma DMAIC process improvement to identify the most desirable outcome amongst several improvement options. A tool to perform the modeling and evaluation is developed. This process evaluation tool is verified for functionality, then is demonstrated against generic processes, a case study, and a real world Continuous Process Improvement event. The application of modeling and simulation to improve and control a process is found to be a positive return on investment under moderate complexity or continuous improvement events. The process evaluation tool is demonstrated to be accurate in prediction, scalable in complexity and fidelity, and capable of simulating a wide variety or evaluation types. Experimentation identifies the importance of understanding the evaluation criteria prior to Measurement in DMAIC, which increases the consistency of process improvement efforts.

Descriptors :   stochastic processes , engineering , department of defense , simulations , models , computer programming

Subject Categories : Administration and Management
      Military Forces and Organizations

Distribution Statement : APPROVED FOR PUBLIC RELEASE