Exclusive Content & Downloads from ASQ

Integrated Process Control for Startup Operations

Summary: We focus on transient period monitoring and adjustment of systems undergoing a startup operation (e.g., a new production run or resuming production after shut-down, etc.). We design an integrated process control mechanism based on a proportional-integral (PI) controller and a moving center-line exponentially weighted moving average (MCEWMA) chart. We apply this design to autocorrelated data that represents a noisy dynamic system that has a startup effect over several time periods. Using simulation, we explore the capability of this design to improve system performance during the startup and comment on its potential to impact economic factors.

Anyone with a subscription, including Site and Enterprise members, can access this article.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

Subscribe to Journal of Quality Technology

Access this and ALL OTHER Journal of Quality Technology online articles. You'll also receive the print version by mail.

  • Topics: Statistical Process Control (SPC)
  • Keywords: Statistical process control (SPC),Autocorrelation
  • Author: Nembhard, Harriet Black; Mastrangelo, Christina M.
  • Journal: Journal of Quality Technology