A Study of Production Decision Making Problems Based on Sample Testing and Cost Optimisation Models
DOI:
https://doi.org/10.54097/nvxr3s60Keywords:
Sampling and Testing, Two-stage Decision Making, Dynamic Modeling, Monte Carlo Simulation.Abstract
In this paper, we provide an in-depth discussion on the optimization of sampling inspection and production decisions in the manufacturing process. In order to strike a balance between cost and accuracy, we propose a method based on two-stage sampling inspection. The method accomplishes the cost inspection with a better inspection cost the method effectively reduces the inspection cost while ensuring the inspection quality. Further, we propose a dynamic model-based production decision scheme. The scheme is able to minimize the production cost by continuously updating the estimate of the defective rate during multi-stage inspection and assembly sessions. Finally, we 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.
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