A study of production decision making problems based on sample testing and cost optimisation models

HIGHLIGHTS

• What: The authors provide an in-depth discussion on the optimization of sampling inspection and production decisions in the manufacturing process. To strike a balance between cost and accuracy the authors propose a method based on two-stage sampling inspection. The authors propose a dynamic model-based production decision scheme. The authors provide a detailed analysis and discussion of the production decision scheme combining sampling inspection and dynamic modeling using confidence intervals and Monte Carlo simulation methods.
• Who: . If 𝑞 and colleagues from the Software Engineering Institute of Guangzhou, Guangzhou, China have published the article: A . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.