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 . . .
  

   

  

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