지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.24 No.1
- 발행연도
- 2025.3
- 수록면
- 51 - 60 (10page)
- DOI
- 10.7232/iems.2025.24.1.051
이용수
초록· 키워드
오류제보하기
The most common and extensively utilized type of statistical analysis tool for tracking a process's quality is the control chart. It's not necessary for the data to have a precise nature; indeterminacy is a possibility. Therefore, a novel framework for handling uncertain data could be provided by the neutrosophic approach. The objective of this research is to create a control chart for a random variable that follows a neutrosophic normal distribution. By putting the required neutrosophic measures in place, it has been feasible to evaluate the effectiveness of the suggested control chart. The suggested distribution is especially helpful for statistical process control when handling uncertain values during data collection. The suggested chart's effectiveness was assessed by comparing it to the existing chart and calculating the average run lengths using a variety of shift values. The suggested design, as opposed to the traditional control chart, yields a more flexible and effective approach, according to the results of analytical research and simulation. We used a real-world example from the glass production quality characteristics to further examine the suggested chart's applicability in real life.
목차
ABSTRACT
1. INTRODUCTION
2. DEFINITION OF NEUTROSOPHIC RANDOM VARIABLE
3. DESIGN OF PROPOSED PLAN
4. COMPARATIVE STUDY
5. APPLICATION
6. CONCLUDING REMARKS
REFERENCES
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