Research Based on sample size calculation and Monte Carlo simulation

This paper focuses on the inspection of parts and components and the quality control of finished products in the production process of electronic products, and focuses on how to reduce the number of inspections as much as possible to ensure that the defective rate of parts and components meets the requirements of enterprises and how to find the optimal production strategy in different situations. We used the sample size calculation formula and Monte Carlo simulation method to determine the minimum sample size under the reliability of 95% and 90% respectively, and simulated the detection process under the condition of different defective rates for enterprises to make reasonable decisions according to different situations. In addition, we designed the optimal detection and decision strategy for different production stages. The research results provide a basis for enterprises to formulate reasonable quality inspection and control programs, and have significant practical value.

Authors

Institutions

Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-02-27
DOI
https://doi.org/10.54097/vbzzs425
Citations
1
Primary Topic
Advanced Decision-Making Techniques
Type
article
Field-Weighted Citation Impact
3.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Based on sample size calculation and Monte Carlo simulation

Yao Wang
1 citations
Highlights in Business Economics and Management
Advanced Decision-Making Techniques
3.25
article

Research Based on sample size calculation and Monte Carlo simulation

Yao Wang
article en
1 citations

Abstract

This paper focuses on the inspection of parts and components and the quality control of finished products in the production process of electronic products, and focuses on how to reduce the number of inspections as much as possible to ensure that the defective rate of parts and components meets the requirements of enterprises and how to find the optimal production strategy in different situations. We used the sample size calculation formula and Monte Carlo simulation method to determine the minimum sample size under the reliability of 95% and 90% respectively, and simulated the detection process under the condition of different defective rates for enterprises to make reasonable decisions according to different situations. In addition, we designed the optimal detection and decision strategy for different production stages. The research results provide a basis for enterprises to formulate reasonable quality inspection and control programs, and have significant practical value.

Highlights in Business Economics and ManagementVol. 51
Liaoning University (CN)
Openalex Percentile: Top 10%
Advanced Decision-Making Techniques
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research Based on sample size calculation and Monte Carlo simulation — Yao Wang · Highlights in Business Economics and Management (2025) | TGRS Research Map | TGRS