Sampling Plan Using Process Loss Index Using Multiple Dependent State Sampling Under Neutrosophic Statistics

被引:5
|
作者
Aslam, Muhammad [1 ]
Azam, Muhammad [2 ]
Albassam, Mohammed [1 ]
机构
[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21551, Saudi Arabia
[2] Univ Vet & Anim Sci, Dept Stat & Comp Sci, Lahore 54000, Pakistan
来源
IEEE ACCESS | 2019年 / 7卷
关键词
Classical statistics; producer's risk; consumer's risk; neutrosophic plan parameters; inspection; DESIGN;
D O I
10.1109/ACCESS.2019.2906408
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the designing of a sampling plan using the process loss consideration for the multiple dependent state sampling under the neutrosophic statistics. The operating characteristics under the neutrosophic statistical interval method (NSIM) are developed to find the neutrosophic plan parameters of the proposed sampling plan. A non-linear optimization under NSIM is used to find the optimal neutrosophic plan parameters under the given conditions. The advantages of the proposed sampling plan are discussed over the existing sampling plans. A real example having some uncertain observations is given for the illustration purpose.
引用
收藏
页码:38568 / 38576
页数:9
相关论文
共 50 条
  • [21] A new attribute sampling plan using neutrosophic statistical interval method
    Aslam, Muhammad
    COMPLEX & INTELLIGENT SYSTEMS, 2019, 5 (04) : 365 - 370
  • [22] A variables multiple dependent state sampling plan based on a one-sided capability index
    Wu, Chien-Wei
    Lee, Amy H. I.
    Chien, Chih-Chieh Chang
    QUALITY ENGINEERING, 2017, 29 (04) : 719 - 729
  • [23] Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application
    Nasrullah Khan
    Liaquat Ahmad
    Muhammad Aslam
    International Journal of Computational Intelligence Systems, 15
  • [24] Monitoring Using X-Bar Control Chart Using Neutrosophic-Based Generalized Multiple Dependent State Sampling with Application
    Khan, Nasrullah
    Ahmad, Liaquat
    Aslam, Muhammad
    INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2022, 15 (01)
  • [25] Determination of a new mixed variable lot-size multiple dependent state sampling plan based on the process capability index
    Balamurali, S.
    Aslam, Muhammad
    Liaquat, Ahmad
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2018, 47 (03) : 615 - 627
  • [26] A variables-type multiple-dependent-state sampling plan based on the lifetime performance index under a Weibull distribution
    Wang, To-Cheng
    Wu, Chien-Wei
    Shu, Ming-Hung
    ANNALS OF OPERATIONS RESEARCH, 2022, 311 (01) : 381 - 399
  • [27] A variables-type multiple-dependent-state sampling plan based on the lifetime performance index under a Weibull distribution
    To-Cheng Wang
    Chien-Wei Wu
    Ming-Hung Shu
    Annals of Operations Research, 2022, 311 : 381 - 399
  • [28] Economic Determination of Modified Multiple Dependent State Sampling Plan under Some Lifetime Distributions
    Aslam, Muhammad
    Jeyadurga, P.
    Balamurali, S.
    Azam, Muhammad
    AL-Marshadi, Ali
    JOURNAL OF MATHEMATICS, 2021, 2021
  • [29] Designing a multiple dependent state sampling plan based on the coefficient of variation
    Yan, Aijun
    Liu, Sanyang
    Dong, Xiaojuan
    SPRINGERPLUS, 2016, 5
  • [30] Determination and economic design of a generalized multiple dependent state sampling plan
    Aslam, Muhammad
    Balamurali, Saminathan
    Jun, Chi-Hyuck
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2021, 50 (11) : 3465 - 3482